MCP Server for Cursor Integration

@knyengera

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开发工具

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stdio

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knyengera

关于 MCP Server for Cursor Integration

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#mcp-server #cursor-integration#coda-api

MCP Server for Cursor Integration 配置

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MCP Server for Cursor Integration 工具

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概览

What is MCP Server for Cursor Integration?

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.

How to use MCP Server for Cursor Integration?

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.

Key features of MCP Server for Cursor Integration

Connects Cursor to Coda.io documentation via API
Built-in caching for faster repeated queries
RESTful API endpoints for context and health
Supports multiple Coda.io tables simultaneously
Includes health check and cache management endpoints

Use cases of MCP Server for Cursor Integration

Query Jira ticket details stored in Coda.io directly from Cursor
Retrieve API documentation snippets without leaving the editor
Access architecture decision records while coding
Combine documentation from several Coda tables into one response

常见问题

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.

What are the prerequisites?

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).

How do I expose the server to the internet?

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.

How do I manage the cache?

Send a POST request to `/cache/clear` to clear all cache, or a GET request to `/cache/stats` to view cache statistics.

Which tables does the server expect in Coda.io?

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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