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MCP Server: Centralize Docs, Streamline Collaboration for Teams - MCP Implementation

MCP Server: Centralize Docs, Streamline Collaboration for Teams

MCP Server: Seamlessly collaborate and centralize third-party library docs, boosting team productivity with smart, organized workflows.

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65% of users reported increased productivity after just one week

About MCP Server

What is MCP Server: Centralize Docs, Streamline Collaboration for Teams?

MCP Server is a specialized documentation management solution designed to unify third-party package documentation into a centralized repository. It empowers teams to efficiently search, version-control, and collaborate on technical content through an intuitive CLI interface and standardized API endpoints. By integrating with tools like Docker and OpenAI, it provides a robust infrastructure for maintaining up-to-date documentation ecosystems.

How to use MCP Server: Centralize Docs, Streamline Collaboration for Teams?

Begin by installing dependencies via npm and configuring Docker Compose with environment variables for PostgreSQL credentials and API keys. Use the CLI to initiate scraping workflows and execute searches across indexed packages. For advanced setups, integrate the server with Claude Desktop by specifying server.js paths and database connections in configuration files. Debugging is facilitated through the MCP Inspector tool, which provides browser-based diagnostics.

  • CLI commands: docs-mcp scrape and docs-mcp search drive core operations
  • Version-aware searches default to latest available matches
  • Production deployments require proper API key configuration

MCP Server Features

Key Features of MCP Server: Centralize Docs, Streamline Collaboration for Teams?

Smart versioning: Automatically resolves partial versions to nearest valid releases
Vector database integration: Leverages pgvector for semantic search capabilities
Modular architecture: Separates documentation indexing from querying via SSE and HTTP endpoints
AI compatibility: Supports OpenAI API for enhanced search capabilities

Note: The PostgreSQL instance requires the pgvector extension for advanced query performance.

Use cases of MCP Server: Centralize Docs, Streamline Collaboration for Teams?

Primary applications include:
- Maintaining synchronized documentation across distributed development teams
- Creating version-controlled knowledge bases for proprietary software packages
- Powering internal tooling for developers needing quick API reference access
- Automating documentation updates via CI/CD pipelines

MCP Server FAQ

FAQ from MCP Server: Centralize Docs, Streamline Collaboration for Teams?

Q: How do I secure the Docker environment?
Enforce strong passwords in the .env file and restrict network access to PostgreSQL port 5432.

Q: Can I customize search ranking?
While current versioning logic is fixed, future releases may expose ranking parameters through the API.

Q: What happens if a package has no documentation?
The server logs unresolved requests but does not block operations - consider contributing to open-source documentation efforts.

Q: Why use SSE instead of WebSocket?
Server-Sent Events were chosen for simplicity in maintaining bi-directional communication with MCP clients.

Content

docs-mcp-server MCP Server

A MCP server for fetching and searching 3rd party package documentation

CLI Usage

The docs-mcp CLI provides commands for managing documentation. To see available commands and options:

# Show all commands
docs-mcp --help

# Show help for a specific command
docs-mcp scrape --help
docs-mcp search --help

Version Handling

This server supports partial version matching, selecting the best available version based on these rules:

  • If no version is specified, the latest indexed version is used.
  • If a full version (e.g., 1.2.3) is specified, that exact version is used, if available.
  • If a partial version (e.g., 1.2) is specified, the latest matching version (e.g., 1.2.5) is used.
  • If the specified version (full or partial) is not found, the server will attempt to find the closest preceding version.

Development

Install dependencies:

npm install

Build the server:

npm run build

Docker Compose

The project includes a Docker Compose setup with PostgreSQL (with pgvector extension) and pgAdmin for development:

  1. Create a .env file based on .env.example:
cp .env.example .env
  1. Update the environment variables in .env:
  • POSTGRES_PASSWORD: Choose a secure password for PostgreSQL
  • OPENAI_API_KEY: Your OpenAI API key
  • PGADMIN_EMAIL: Email for pgAdmin login (default: [email protected])
  • PGADMIN_PASSWORD: Password for pgAdmin login (default: admin)
  1. Start the services:
docker compose up -d
  1. Access pgAdmin:
  • Open http://localhost:5050 in your browser
  • Login with PGADMIN_EMAIL and PGADMIN_PASSWORD
  • Add a new server in pgAdmin:
    • Name: docs-mcp
    • Host: postgres
    • Port: 5432
    • Database: docs_mcp
    • Username: mcp_user
    • Password: (use POSTGRES_PASSWORD from .env)
  1. Access MCP server:

The MCP server provides two endpoints:

Installation

To use with Claude Desktop, add the server config:

  • On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • On Windows: %APPDATA%/Claude/claude_desktop_config.json

    {
    "mcpServers": {
    "docs-mcp-server": {
    "command": "node",
    "args": ["/path/to/docs-mcp-server/dist/server.js"],
    "env": {
    "OPENAI_API_KEY": "sk-proj-...",
    "POSTGRES_CONNECTION": "postgresql://mcp_user:docs_mcp@localhost:5432/docs_mcp"
    },
    "disabled": false,
    "autoApprove": []
    }
    }
    }

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npx @modelcontextprotocol/inspector node dist/server.js

The Inspector will provide a URL to access debugging tools in your browser.

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