What does this server do?
It acts as a middleware between Cursor and your Coda.io documentation tables, fetching and returning relevant context based on search queries.
@knyengera
Basic information
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A Managed Context Provider (MCP) server that integrates Cursor (the AI coding assistant) with Coda.io documentation. It fetches context from Coda.io tables to provide relevant, context-aware responses within Cursor.
Install Node.js (v14+), clone the repository, run npm install, configure a .env file with your Coda.io API token and document ID. Start the server with npm run dev (development) or npm start (production). Use ngrok (ngrok http 3000) to expose it publicly, then update your MCP client configuration (mcp.json) with the provided ngrok URL and the /context endpoint.
It acts as a middleware between Cursor and your Coda.io documentation tables, fetching and returning relevant context based on search queries.
You need Node.js v14 or higher, a Coda.io account with API access, and a Coda.io document that contains the required tables (Jira Tickets, API Documentation, Architecture Decisions).
Use ngrok: install it globally (`npm install -g ngrok`), run `ngrok http 3000` while the server is running, and update the `url` in your `mcp.json` file with the ngrok‑provided URL.
Send a POST request to `/cache/clear` to clear all cache, or a GET request to `/cache/stats` to view cache statistics.
By default it looks for “Jira Tickets”, “API Documentation”, and “Architecture Decisions”. You can change these table names in `src/services/mcp.service.js`.

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