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.
README
contextflow-mcp
MCP server for Contextflow ā semantic code search and AI-powered Q&A over vectorized repositories, directly inside Claude.
š What is this?
contextflow-mcp is a Model Context Protocol server that connects Claude to a Contextflow snapshot ā a vectorized index of your codebase. Once connected, Claude can:
- š Semantically search your code
- š¬ Answer natural language questions grounded in actual source code
- š¦ Inspect snapshot metadata (files indexed, status, branch)
š ļø Tools exposed
| Tool | Description |
|---|---|
get_context_info |
Returns metadata about the snapshot: name, branch, status, files and chunks indexed |
search_context |
Semantic search ā returns the most relevant code chunks with file paths and line numbers |
ask_context |
AI Q&A ā asks a question and gets an answer grounded in real source code |
āļø 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.
š Environment Variables
| Variable | Required | Default | Description |
|---|---|---|---|
CONTEXTFLOW_TOKEN |
ā Yes | ā | Public token of the Contextflow snapshot |
CONTEXTFLOW_API_URL |
No | http://localhost:3001 |
Base URL of the Contextflow API |
š Project Structure
contextflow-mcp/
āāā src/
ā āāā index.ts # MCP server source (TypeScript)
āāā dist/
ā āāā index.js # Compiled output (Node.js)
āāā package.json
āāā tsconfig.json
āāā claude-config-example.json
š§āš» Development
npm run dev # watch mode (tsc --watch)
npm run build # single compile
npm start # run compiled server
š License
MIT
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.