Sample MCP Server for ChatGPT Deep Research
Provides semantic search and complete document retrieval using OpenAI's Vector Store API, enabling deep research over indexed documents.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Sample MCP Server for ChatGPT Deep Research
This is a sample Model Context Protocol (MCP) server designed to work with ChatGPT's Deep Research feature. It provides semantic search through OpenAI's Vector Store API and document retrieval capabilities, demonstrating how to build custom MCP servers that can extend ChatGPT with company-specific knowledge and tools.
Features
Search Tool: Semantic search using OpenAI Vector Store API
Fetch Tool: Complete document retrieval by ID with full content and metadata
Sample Data: Includes 5 sample documents covering various technical topics
MCP Compliance: Follows OpenAI's MCP specification for deep research integration
Related MCP server: RAG Documentation MCP Server
Usage
This sample app uses the mcp-handler that allows you to drop in an MCP server on a group of routes in any Next.js project.
Update app/mcp/route.ts with your tools, prompts, and resources following the MCP TypeScript SDK documentation.
Getting Started
Install dependencies:
pnpm iRun the development server:
pnpm dev
Connecting to ChatGPT Deep Research
Access ChatGPT Settings: Go to ChatGPT settings
Navigate to Connectors: Click on the "Connectors" tab
Add MCP Server: Add your server URL:
http://your-domain/mcpTest Connection: The server should appear as available for deep research
Notes for running on Vercel
Make sure you have Fluid compute enabled for efficient execution
Sample Client
script/test-client.mjs contains a sample client to try invocations.
node scripts/test-client.mjs https://mcp-for-next-js.vercel.appThis server cannot be deployed
Maintenance
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