### get-examples

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/openapi-schema.md

Gets examples for a specific component or endpoint.

```APIDOC
## get-examples

### Description
Gets examples for a specific component or endpoint.

### Parameters
- **openapiSchemaPath** (string) - Required - Path to the OpenAPI schema file
- **type** (string) - Required - Type of example to retrieve
- **componentName** (string) - Optional - Component name (required for component examples)
- **componentType** (string) - Optional - Component type (required for component examples)
- **method** (string) - Optional - HTTP method (required for request/response examples)
- **path** (string) - Optional - API path (required for request/response examples)
- **statusCode** (string) - Optional - Status code (for response examples)
```

--------------------------------

### Recommend Prompt Template Tests Example

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/circleci.md

Example usage of the recommend_prompt_template_tests tool, providing a prompt template and its corresponding context schema.

```json
{
  "params": {
    "promptTemplate": "The user wants a bedtime story about {{topic}} for a person of age {{age}} years old. Please craft a captivating tale that captivates their imagination and provides a delightful bedtime experience.",
    "contextSchema": {
      "topic": "string",
      "age": "number"
    }
  }
}
```

--------------------------------

### Install .vsix extension with code --install-extension

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/docs/content/tools/quickstart_vscode.md

Install the downloaded .vsix extension from the command line. Replace <path-to-vsix-file> with the actual path to the file. Alternatively, use the VSCode command palette 'Extensions: Install from VSIX...'.

```sh
code --install-extension <path-to-vsix-file>
```

--------------------------------

### Install VSCode Extension

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/README.md

Install the Docker AI tools extension using the VSIX file.

```sh
code --install-extension 'labs-ai-tools-vscode-<version>.vsix'
```

--------------------------------

### create_entities_batch tool use example

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/fibery.md

Example tool use for creating multiple Fibery entities at once. The databases shown are non-existent; use databases from the user's schema. On success, links to created entities are returned and should be given to the user.

```json
{
    "database": "Product Management/Feature",
    "entities": [
        {
            "Product Management/Name": "New Feature 1",
            "Product Management/Description": "Description of the new feature 1",
            "workflow/state": "To Do" # notice how we use string literal for workflow field here
        },
        {
            "Product Management/Name": "New Feature 2",
            "Product Management/Description": "Description of the new feature 2",
            "workflow/state": "In Progress" # notice how we use string literal for workflow field here
        }
    ]
}
```

--------------------------------

### get_diagram_examples

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/aws-diagram.md

Returns example code for different types of diagrams. Use this tool to get ready-to-use examples for AWS, sequence, flow, class, k8s, onprem, custom, or all diagram types.

```APIDOC
## get_diagram_examples

### Description
Get example code for different types of diagrams. This tool provides ready-to-use example code for various diagram types. Use these examples to understand the syntax and capabilities of the diagrams package before creating your own custom diagrams.

### Parameters
#### Query Parameters
- **diagram_type** (string, optional) - Type of diagram example to return. Options: aws, sequence, flow, class, k8s, onprem, custom, all

### Returns
Dictionary with example code for the requested diagram type(s), organized by example name.
```

--------------------------------

### create_prompt_template example usage

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/circleci.md

Example JSON payload for the create_prompt_template tool. The prompt parameter contains the feature requirements used to generate a prompt template.

```json
{
  "params": {
    "prompt": "Create an app that takes any topic and an age (in years), then renders a 1-minute bedtime story for a person of that age."
  }
}
```

--------------------------------

### Markdown example showing prompt and metadata headers

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/docs/content/tools/docs/authoring-prompts.md

Shows the reserved h1 and h2 headers for prompts and metadata, and a regular h3 header. h1 headers starting with 'prompt' are sent to the model; h2 headers indicate metadata.

```markdown
# prompt I am a prompt header
## metadata I am metadata header
### header I am a regular header

```

--------------------------------

### create_entity tool use example

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/fibery.md

Example tool use for creating a single Fibery entity with specified fields. The database shown is non-existent; use databases from the user's schema. On success, a link to the created entity is returned and should be given to the user.

```json
{
    "database": "Product Management/Feature",
    "entity": {
        "Product Management/Name": "New Feature",
        "Product Management/Description": "Description of the new feature",
        "workflow/state": "To Do" # notice how we use string literal for workflow field here
    }
}
```

--------------------------------

### config_helper example usage

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/circleci.md

Example JSON payload for the config_helper tool. The configFile parameter must contain the raw YAML content of a CircleCI config file as a properly escaped string with newlines represented as \n.

```json
{
  "params": {
    "configFile": "version: 2.1\norbs:\n  node: circleci/node@7\n..."
  }
}
```

--------------------------------

### Build with Nix

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/functions/tree-sitter/runbook.md

Builds the Go binary using Nix with a bar-with-logs format.

```sh
#docker:command=gobuild
nix build .#goBinary --log-format bar-with-logs
```

--------------------------------

### Example CSV output

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/pylint/5-2-insert-code.md

Example CSV output from the query script. Each row contains the range ID, file path, start and end lines, and column positions.

```csv
ID,PATH,START_LINE,END_LINE,START_COLUMN,END_COLUMN
1234-abcd-1234,wsgi_skylines.py,11,104,0,61
```

--------------------------------

### Configure question hints

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/edubase.md

Example of specifying multiple hints separated by triple-and operators.

```text
hint=Think about the relationship between radius and area &&& Remember the formula for circle area involves $\pi$ &&& Square the radius and multiply by $\pi$
```

--------------------------------

### Markdown example of a non-prompt h1 header

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/docs/content/tools/docs/authoring-prompts.md

Shows an h1 header that does not start with 'prompt', used for organizing markdown without being sent to the model.

```markdown
# I am not a prompt header

```

--------------------------------

### browser_install

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/playwright.md

Installs the browser specified in the configuration. Use this if the browser is not installed.

```APIDOC
## browser_install

### Description
Install the browser specified in the config. Call this if you get an error about the browser not being installed.
```

--------------------------------

### Run MCP serve mode with registration

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/README.md

Use the serve mode with the --mcp flag to enable MCP server functionality. Register prompts using either a git reference or a local file path with the --register flag.

```sh
# ...
serve
--mcp
--register github:docker/labs-ai-tools-for-devs?path=prompts/examples/generate_dockerfile.md
--register /Users/ai-overlordz/some/local/prompt.md
# ...
```

--------------------------------

### Initialize node2nix shell

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/functions/javascript-runner/runbook.md

Enters a nix shell with node2nix available.

```sh
nix shell -i nixpkgs#node2nix
```

--------------------------------

### Initialize Stack Auth

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/neon.md

Run this command to automatically configure your project with Stack Auth dependencies and necessary files.

```bash
npx @stackframe/init-stack . --no-browser
```

--------------------------------

### firecrawl_crawl

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/firecrawl.md

Starts an asynchronous crawl of multiple pages from a starting URL. Supports depth control, path filtering, and webhook notifications.

```APIDOC
## firecrawl_crawl

### Description
Start an asynchronous crawl of multiple pages from a starting URL. Supports depth control, path filtering, and webhook notifications.

### Parameters
- **url** (string) - Required - Starting URL for the crawl
- **allowBackwardLinks** (boolean) - Optional - Allow crawling links that point to parent directories
- **allowExternalLinks** (boolean) - Optional - Allow crawling links to external domains
- **deduplicateSimilarURLs** (boolean) - Optional - Remove similar URLs during crawl
- **excludePaths** (array) - Optional - URL paths to exclude from crawling
- **ignoreQueryParameters** (boolean) - Optional - Ignore query parameters when comparing URLs
- **ignoreSitemap** (boolean) - Optional - Skip sitemap.xml discovery
- **includePaths** (array) - Optional - Only crawl these URL paths
- **limit** (number) - Optional - Maximum number of pages to crawl
- **maxDepth** (number) - Optional - Maximum link depth to crawl
- **scrapeOptions** (object) - Optional - Options for scraping each page
- **webhook** (string) - Optional - Webhook URL for notifications
```

--------------------------------

### Example package.json for deploy_one_off_dyno

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/heroku.md

Defines dependencies for a one-off dyno script. Uses ES modules and axios. Minimize external dependencies and prefer native modules.

```json
{
  "type": "module",
  "dependencies": {
    "axios": "^1.6.0"
  }
}
```

--------------------------------

### Configure penalty settings

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/edubase.md

Examples of setting penalty values for hints, solutions, or videos.

```text
hint_penalty=ONCE:20% or hint_penalty=ONCE:0.2
hint_penalty=PER-HELP:10%
solution_penalty=ONCE:50%
video_penalty=ONCE:15%
```

--------------------------------

### Prompt Example for File Operations

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/examples/mcp-filesystem.md

A prompt that instructs the model to read the file 'deps.edn' and then write the string 'blah.txt' into the file 'test.txt'.

```text
# prompt user

read the file deps.edn and then write the string "blah.txt" into the file test.txt
```

--------------------------------

### get-tokens-of-address

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/multiversx-mx.md

Gets the tokens of an address. Returns the first 25 fungible tokens and the first 25 NFTs, SFTs, and MetaESDT. Specify the number of tokens to get more.

```APIDOC
## get-tokens-of-address

### Description
Gets the tokens of an address. Returns the first 25 fungible tokens and the first 25 NFTs, SFTs, and MetaESDT. Specify the number of tokens to get more.

### Parameters
- `address` (string) - Required - The bech32 address of the account (erd1...).
- `size` (number) - Optional - The number of each token type to be returned. By default, the number is 25.
```

--------------------------------

### Example INSERT statement for CODE table

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/pylint/5-2-insert-code.md

Example INSERT statement to populate the CODE table. RANGE_ID is the first value from the CSV row and CODE_AT_RANGE is the sliced content from the file.

```sql
INSERT INTO CODE (RANGE_ID, CODE_AT_RANGE) ('1234-abcd-1234', "<Contents of wsgi_skylines from line 11 to 104>")
```

--------------------------------

### get-opik-examples

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/opik.md

Provides examples of how to use Opik Comet's API for specific tasks.

```APIDOC
## Tool: get-opik-examples

### Description
Get examples of how to use Opik Comet's API for specific tasks.

### Parameters
- **task** (string) - Required - The task to get examples for (e.g., 'create prompt', 'analyze traces', 'monitor costs')
```

--------------------------------

### JSON Schema Example for Violations Array

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/examples/json-to-sql.md

Example JSON array schema with violation objects containing message, path, type, line, column, endLine, endColumn. Used as input for the JavaScript function.

```json
[
  {"message": "some violation", "path": "app.py", "type": "error",
   "line": 0, "column": 0, "endLine": None, "endColumn": 1, "path": "src/app.py"}
]

```

--------------------------------

### edubase_get_organization

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/edubase.md

Gets or checks an organization.

```APIDOC
## edubase_get_organization

### Description
Get/check organization.

### Parameters
- **organization** (string) - Required - organization identification string
```

--------------------------------

### Build Docker Image

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/README.md

Build the local version of the prompts container.

```sh
#docker:command=build

docker build -t vonwig/prompts:local -f Dockerfile .
```

--------------------------------

### Prepare Client Platform References

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/functions/copilot_chat/copilot_api.markdown

Processes workspace files and editor selections to prepare references for Copilot, including handling ignored files and Git repository information.

```typescript
async prepareClientPlatformReferences(e){let r=[],n=[],o=!1;for(let a of e)if(a.value instanceof zn){if(await this.ignoreService.isCopilotIgnored(a.value)){o=!0;continue}let c=await this.workspaceService.openTextDocument(a.value);r.push({type:"client.file",data:{language:c.languageId,content:c.getText()},id:oZ.basename(a.value.path)}),n.push({variableName:a.name,value:a.value})}else if(a.name==="selection"){let{activeTextEditor:c}=this.tabsAndEditorsService;if(!c)throw new Error(ft.l10n.t({message:"Please open a text editor to use the `#selection` variable.",comment:"{Locked='`#selection`'}"}));if(await this.ignoreService.isCopilotIgnored(c.document.uri)){o=!0;continue}let u=c.selection.start.line,l=c.selection.isEmpty?new ft.Range(new ft.Position(u,0),new ft.Position(u+1,0)):c.selection;r.push({type:"client.selection",data:{start:{line:l.start.line,col:l.start.character},end:{line:l.end.line,col:l.end.character},content:c.document.getText(l)},id:oZ.basename(c.document.uri.path)}),n.push({variableName:a.name,value:new ft.Location(c.document.uri,l)})}this.gitService.isInitialized||await this.gitService.initialize();let s=this.gitService.repositories;for(let a of s){let c=h_(a);if(!c)continue;let[u,l]=c?.split("/");r.push({type:"github.repository",id:c,data:{type:"repository",name:l,ownerLogin:u,id:(await this.githubRepositoryService.getRepositoryInfo(u,l)).id}})}return{clientReferences:r,vscodeReferences:n,hasIgnoredFiles:o}}
```

--------------------------------

### edubase_get_exam

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/edubase.md

Gets or checks an exam.

```APIDOC
## edubase_get_exam

### Description
Get/check exam.

### Parameters
- **exam** (string) - Required - exam identification string
```

--------------------------------

### Build the parser with Nix

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/functions/tree-sitter-clj/runbook.md

Build the parser using the Nix flake.

```sh
nix build .#parser
```

--------------------------------

### my_glifs

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/glif.md

Get a list of your glifs.

```APIDOC
## my_glifs

### Description
Get a list of your glifs.
```

--------------------------------

### Run evolute-stable-diffusion container

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/stable-diffusion/local-runbook.md

Starts a detached container named evolute-stable-diffusion, mounting the current directory to /app/output and exposing port 8000.

```sh
docker run -d \
    --name evolute-stable-diffusion \
    -v $PWD:/app/output \
    -p 8000:8000 \
    vonwig/evolute-stable-diffusion:latest
```

--------------------------------

### run_js_ephemeral: Mermaid chart generation example

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/node-code-sandbox.md

Minimal example for using the 'alfonsograziano/node-chartjs-canvas:latest' image to generate a Mermaid diagram. It writes a Mermaid definition to './files/diagram.mmd' and runs the mermaid-cli to produce an SVG. Uses ESModule syntax.

```JavaScript
import fs from "fs";
import { run } from "@mermaid-js/mermaid-cli";
fs.writeFileSync("./files/diagram.mmd", "graph LR; A-->B;", "utf8");
await run("./files/diagram.mmd", "./files/diagram.svg");
```

--------------------------------

### Apply instance-level labels

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/edubase.md

Example of categorizing questions using multiple labels.

```text
label=verified &&& featured
```

--------------------------------

### Build Codescope locally with Nix

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/functions/codescope/runbook.md

Run this command in the project root to build Codescope with Nix. Requires a local Nix installation. Produces an executable at /result/bin/codescope.

```sh
# docker:command=nix-build
nix build .
```

--------------------------------

### edubase_get_user_name

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/edubase.md

Gets the user's name.

```APIDOC
## edubase_get_user_name

### Description
Get user's name.

### Parameters
- **user** (string) - Required - user identification string

### Returns
User's name.
```

--------------------------------

### Run the vector store tool

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/tools_vector_store/runbook.md

Executes the container with the OPENAI_API_KEY environment variable sourced from the local file system.

```sh
docker run -it --rm -e "OPENAI_API_KEY=$(cat ~/.openai-api-key)" vonwig/tools-vector-store:local "hola"
```

--------------------------------

### edubase_get_user_group

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/edubase.md

Gets the user's group.

```APIDOC
## edubase_get_user_group

### Description
Get user's group.

### Parameters
- **user** (string) - Required - user identification string

### Returns
Group information for the user.
```

--------------------------------

### get_database_tables

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/neon.md

Get all tables in a Neon database.

```APIDOC
## Tool: get_database_tables

### Description
Get all tables in a Neon database.

### Parameters
- **params** (object) - Required - The parameters object.
```

--------------------------------

### Build and push multi-platform image

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/functions/hub/qrencode/runbook.md

Builds the image for multiple platforms using buildx and pushes it to the registry.

```sh
# docker:command=build

docker buildx build \
    --builder hydrobuild \
    --platform linux/amd64,linux/arm64 \
    --tag vonwig/qrencode:latest \
    --file Dockerfile \
    --push .
docker pull vonwig/qrencode:latest
```

--------------------------------

### llen

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/redis.md

Gets the length of a Redis list.

```APIDOC
## llen

### Description
Get the length of a Redis list.

### Parameters
| Parameter | Type | Description |
|-----------|------|-------------|
| `name` | `string` | The Redis list key. |
```

--------------------------------

### get

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/redis.md

Retrieves a Redis string value.

```APIDOC
## get

### Description
Get a Redis string value.

### Parameters
| Parameter | Type | Description |
|-----------|------|-------------|
| `key` | `string` | The Redis key. |
```

--------------------------------

### Build qrencode image

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/functions/hub/qrencode/runbook.md

Builds the qrencode Docker image locally.

```sh
docker build -t vonwig/qrencode:latest .
```

--------------------------------

### Example SQL insert statements for ranges

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/pylint/5-1-insert-top-level-ranges.md

Shows the expected format of the generated SQL file with INSERT INTO RANGES statements.

```sql
INSERT INTO RANGES (ID, START_LINE, START_COLUMN, END_LINE, END_COLUMN, PATH) values ('<random-string>', 0,0,0,21, 'main.py')
INSERT INTO RANGES (ID, START_LINE, START_COLUMN, END_LINE, END_COLUMN, PATH) values ('<random-string>', 2,0,2,37, 'main.py')
INSERT INTO RANGES (ID, START_LINE, START_COLUMN, END_LINE, END_COLUMN, PATH) values ('<random-string>', 4,0,5,17, 'main.py')
```

--------------------------------

### slack_get_thread_replies

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/slack.md

Get all replies in a message thread.

```APIDOC
## slack_get_thread_replies

### Description
Get all replies in a message thread. The thread is identified by the channel ID and the timestamp of the parent message.

### Parameters
- `channel_id` (string) - Required - The ID of the channel containing the thread
- `thread_ts` (string) - Required - The timestamp of the parent message in the format '1234567890.123456'. Timestamps in the format without the period can be converted by adding the period such that 6 numbers come after it.

```

--------------------------------

### get-balance-of-address

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/multiversx-mx.md

Gets the balance for a MultiversX address.

```APIDOC
## get-balance-of-address

### Description
Gets the balance for a MultiversX address.

### Parameters
- `address` (string) - Required - The bech32 representation of the address.
```

--------------------------------

### Create prompts volume and copy registry

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/runbook.md

Creates a container to hold the docker-prompts volume and copies the registry.yaml file into it.

```sh
docker container create --name docker-prompts -v docker-prompts:/prompts hello-world
docker cp ~/.prompts-cache/registry.yaml docker-prompts:/prompts
```

--------------------------------

### get-path-parameters

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/openapi-schema.md

Gets the parameters for a specific path.

```APIDOC
## get-path-parameters

### Description
Gets the parameters for a specific path.

### Parameters
- **openapiSchemaPath** (string) - Required - Path to the OpenAPI schema file
- **path** (string) - Required - API path
- **method** (string) - Optional - HTTP method
```

--------------------------------

### Run MCP server with Clojure CLI

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/runbook.md

Starts the MCP server on port 8811 using Clojure, logging to ./log/docker-mcp-server.out and using $HOME/.prompts-cache.

```sh
# logs to ./log/docker-mcp-server.out
# uses $HOME/.prompts-cache
# repl will be written to log

clj -M:main-repl serve --mcp --port 8811
```

--------------------------------

### get_current_time

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/armor-crypto.md

Gets the current time and date.

```APIDOC
## get_current_time

### Description
Gets the current time and date.

### Response
Returns the current time and date.
```

--------------------------------

### Dockerfile FROM line for tag recommendation

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/recommended_tags/README.md

Shows the Dockerfile line that the prompt asks about. The user wants a tag recommendation for the repository from this line.

```dockerfile
FROM node:latest
```

--------------------------------

### Build and push multi-platform image

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/functions/hub/typo/runbook.md

Builds and pushes the image for linux/amd64 and linux/arm64 using buildx, then pulls the image.

```sh
# docker:command=build

docker buildx build \
    --builder hydrobuild \
    --platform linux/amd64,linux/arm64 \
    --tag vonwig/typos:latest \
    --file Dockerfile \
    --push .
docker pull vonwig/typos:latest
```

--------------------------------

### jira_get_sprint_issues

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/atlassian.md

Gets Jira issues from a sprint.

```APIDOC
## jira_get_sprint_issues

### Description
Get jira issues from sprint.

### Method
MCP Tool

### Endpoint
jira_get_sprint_issues

### Parameters
No parameters documented.

### Request Example
No request example provided.

### Response
No response schema documented.

### Response Example
No response example provided.
```

--------------------------------

### update_entity tool call example

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/fibery.md

Example tool call for updating a Fibery entity. The database and entity fields are placeholders; use only databases from the user's schema. Document fields require an 'append' boolean and 'content' string.

```json
{
    "database": "Product Management/Feature",
    "entity": {
        "fibery/id": "12345678-1234-5678-1234-567812345678",
        "Product Management/Name": "New Feature 2",
        "Product Management/Description": {"append": true, "content": "Notes: some notes"},
        "workflow/state": "In Progress"
    }
}
```

--------------------------------

### Example parsed tree-sitter output for main.py

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/pylint/5-1-insert-top-level-ranges.md

Shows the format of a parsed file generated by tree-sitter, with node types and position ranges.

```plaintext
/thread/ast/main.py.parsed
(module [0, 0] - [6, 0]
  (comment [0, 0] - [0, 21])
  (import_from_statement [2, 0] - [2, 37]
    module_name: (dotted_name [2, 5] - [2, 22]
      (identifier [2, 5] - [2, 13])
      (identifier [2, 14] - [2, 22]))
    name: (dotted_name [2, 30] - [2, 37]
      (identifier [2, 30] - [2, 37])))
  (if_statement [4, 0] - [5, 17]
    condition: (comparison_operator [4, 3] - [4, 25]
      (identifier [4, 3] - [4, 11])
      (string [4, 15] - [4, 25]
        (string_start [4, 15] - [4, 16])
        (string_content [4, 16] - [4, 24])
        (string_end [4, 24] - [4, 25])))
    consequence: (block [5, 4] - [5, 17]
      (expression_statement [5, 4] - [5, 17]
        (call [5, 4] - [5, 17]
          function: (attribute [5, 4] - [5, 15]
            object: (identifier [5, 4] - [5, 11])
            attribute: (identifier [5, 12] - [5, 15]))
          arguments: (argument_list [5, 15] - [5, 17]))))))
```

--------------------------------

### Run clj-kondo with Docker bind mount

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/functions/hub/clj-kondo/runbook.md

Runs the clj-kondo Docker image with a read-write bind mount for the project root, setting the workdir to /project and passing the args as a JSON string. The output is piped to jq for pretty-printing.

```sh
docker run --rm \
       --mount type=bind,source=/Users/slim/docker/labs-ai-tools-for-devs,target=/project \
       --workdir /project \
       vonwig/clj-kondo:latest '{"args": ["--lint","."]}' | jq .
```

--------------------------------

### Build the Docker image

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/tools_vector_store/runbook.md

Builds the local Docker image tagged as vonwig/tools-vector-store:local.

```sh
docker build -t vonwig/tools-vector-store:local .
```

--------------------------------

### edubase_get_tag

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/edubase.md

Gets or checks a tag by its identification string.

```APIDOC
## edubase_get_tag

### Description
Get/check tag.

### Parameters
- **tag** (string) - Required - tag identification string

### Returns
Tag information or existence status.
```

--------------------------------

### edubase_get_exam_results_user

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/prompts/mcp/readmes/edubase.md

Gets user results for a specific exam.

```APIDOC
## edubase_get_exam_results_user

### Description
Get user results for a specific exam.

### Parameters
- **exam** (string) - Required - exam identification string
- **user** (string) - Required - user identification string
```

--------------------------------

### Build GraalVM component with Nix

Source: https://github.com/docker/labs-ai-tools-for-devs/blob/main/functions/tree-sitter-clj/runbook.md

Build the GraalVM component using Nix with bar-with-logs format.

```sh
nix build .#graal --log-format bar-with-logs
```