contextflow-mcp

contextflow-mcp

Enables semantic code search and AI-powered Q\&A over vectorized repositories directly within Claude. It provides tools to search code chunks, answer questions grounded in source code, and inspect repository snapshot metadata.

Category
Visit Server

README

contextflow-mcp

MCP server for Contextflow — semantic code search and AI-powered Q&A over vectorized repositories, directly inside Claude.

šŸš€ What is this?

contextflow-mcp is a Model Context Protocol server that connects Claude to a Contextflow snapshot — a vectorized index of your codebase. Once connected, Claude can:

  • šŸ” Semantically search your code
  • šŸ’¬ Answer natural language questions grounded in actual source code
  • šŸ“¦ Inspect snapshot metadata (files indexed, status, branch)

šŸ› ļø Tools exposed

Tool Description
get_context_info Returns metadata about the snapshot: name, branch, status, files and chunks indexed
search_context Semantic search — returns the most relevant code chunks with file paths and line numbers
ask_context AI Q&A — asks a question and gets an answer grounded in real source code

āš™ļø Setup

1. Install dependencies

npm install

2. Build

npm run build

3. Configure Claude

Add the following to your Claude MCP config (claude_desktop_config.json or equivalent):

{
  "mcpServers": {
    "contextflow": {
      "command": "node",
      "args": ["/absolute/path/to/dist/index.js"],
      "env": {
        "CONTEXTFLOW_TOKEN": "YOUR_SNAPSHOT_PUBLIC_TOKEN",
        "CONTEXTFLOW_API_URL": "http://localhost:3001"
      }
    }
  }
}

See claude-config-example.json for a ready-to-copy template.


šŸŒ Environment Variables

Variable Required Default Description
CONTEXTFLOW_TOKEN āœ… Yes — Public token of the Contextflow snapshot
CONTEXTFLOW_API_URL No http://localhost:3001 Base URL of the Contextflow API

šŸ“ Project Structure

contextflow-mcp/
ā”œā”€ā”€ src/
│   └── index.ts          # MCP server source (TypeScript)
ā”œā”€ā”€ dist/
│   └── index.js          # Compiled output (Node.js)
ā”œā”€ā”€ package.json
ā”œā”€ā”€ tsconfig.json
└── claude-config-example.json

šŸ§‘ā€šŸ’» Development

npm run dev    # watch mode (tsc --watch)
npm run build  # single compile
npm start      # run compiled server

šŸ“„ License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured