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eve is Vercel’s filesystem-first framework for building durable AI agents. By adding Context7 as an MCP connection, an eve agent can retrieve up-to-date, version-specific library documentation and code examples while it works. For more details on how eve handles MCP connections, see the eve MCP connections documentation.

Setup

1

Create the Context7 connection

Create agent/connections/context7.ts in your eve project:
The API key is optional, so the connection can use Context7’s anonymous limits when CONTEXT7_API_KEY is not set. For higher rate limits, create an API key in the Context7 dashboard.
2

Configure an API key (recommended)

Add the key to .env.local for local development. Do not commit this file.
For a deployed eve agent, add the same variable to the linked Vercel project and pull it locally:
eve’s getToken callback sends the value as an Authorization: Bearer token. Vercel Connect is not required when using an API key.
3

Verify the connection

Inspect the agent and confirm that it compiles with 0 errors and 0 warnings:
Then start the agent and ask a documentation question. When the connection is used, eve discovers only the two tools in the allowlist:

How It Works

The filename registers the connection as context7. eve discovers the remote MCP tools and makes them available as context7__resolve-library-id and context7__query-docs when the model searches for a relevant connection. The allowlist keeps the connection limited to Context7’s documentation tools, including if the server adds more tools later. Both tools are read-only, so they do not require an approval gate. When a request names a library, the agent first calls resolve-library-id to find its Context7 library ID, then calls query-docs with that ID and the user’s specific question. If the prompt already includes a Context7 library ID such as /vercel/next.js, the agent can call query-docs directly.