graphlit-mcp-server and claude-code-mcp

Both projects implement an MCP server, suggesting they are competing implementations providing the same core functionality, with one being the official server for the Graphlit Platform and the other connecting to a different local command.

graphlit-mcp-server
60
Established
claude-code-mcp
57
Established
Maintenance 6/25
Adoption 10/25
Maturity 25/25
Community 19/25
Maintenance 10/25
Adoption 7/25
Maturity 25/25
Community 15/25
Stars: 372
Forks: 52
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
Stars: 34
Forks: 6
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
No risk flags
No risk flags

About graphlit-mcp-server

graphlit/graphlit-mcp-server

Model Context Protocol (MCP) Server for Graphlit Platform

This tool helps product managers and developers create a unified, searchable knowledge base from scattered information sources. It takes content from your team's everyday tools like Slack, GitHub, Google Drive, and Notion, processes it, and makes it available for retrieval and AI-powered conversations within MCP clients like Cursor or Windsurf. The output is a centralized, AI-ready knowledge base, enabling efficient information discovery and RAG (Retrieval Augmented Generation) capabilities.

knowledge-management developer-operations product-management information-retrieval AI-assistant-integration

About claude-code-mcp

KunihiroS/claude-code-mcp

MCP Server connects with claude code local command.

This project helps developers integrate the powerful Claude Code AI directly into other applications that use the Model Context Protocol (MCP). It acts as a bridge, taking requests in JSON format containing code or commands, routing them to your local Claude Code installation, and returning the AI's response, such as code explanations, reviews, fixes, or test suggestions. A developer building or using an MCP host application would use this to leverage Claude Code's capabilities within their existing tools.

AI-integration developer-tools code-analysis programming-workflow LLM-deployment

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