MCP Document & Task Server

deepujain/mcp-doc-server
0 starsMITCommunity

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Provides a document database with search, retrieval, and creation tools, and a task tracker with search and status filtering, enabling AI agents to manage documents and tasks via natural language.

README.md

MCP Document & Task Server

Example Model Context Protocol (MCP) servers from the Medium article The Model Context Protocol (MCP): Fundamentals, Real-World Applications, and Building AI Agent Integrations.

Two self-contained MCP servers that any compatible AI host (Claude Desktop, Cursor, or a custom agent) can discover and use automatically.

Servers

server.py -- Document database with three tools:

  • search_documents(query) -- search documents by title
  • get_document(doc_id) -- retrieve a document by ID
  • create_document(title, content, author) -- create a new document

task_server.py -- Task tracker with two tools:

  • search_tasks(query) -- search tasks by title keyword
  • get_tasks_by_status(status) -- get tasks by status (todo, in_progress, done)

Quick Start

# Clone the repo
git clone https://github.com/deepujain/mcp-doc-server.git
cd mcp-doc-server

# Create virtual environment and install dependencies
uv venv
source .venv/bin/activate
uv sync

Test with the MCP Inspector

# Document server
mcp dev server.py

# Task tracker (in a separate terminal)
mcp dev task_server.py

The Inspector opens in your browser. Click Tools > List Tools, select a tool, fill in the input, and hit Run Tool.

Connect to Cursor

Add to .cursor/mcp.json in your project root:

{
  "mcpServers": {
    "document-db": {
      "command": "uv",
      "args": ["--directory", "/path/to/mcp-doc-server", "run", "server.py"]
    },
    "task-tracker": {
      "command": "uv",
      "args": ["--directory", "/path/to/mcp-doc-server", "run", "task_server.py"]
    }
  }
}

Replace /path/to/mcp-doc-server with the actual path. Restart Cursor, then ask in agent chat:

"Find the Q1 report and summarize it"

"What tasks are in progress?"

Connect to Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):

{
  "mcpServers": {
    "document-db": {
      "command": "uv",
      "args": ["--directory", "/path/to/mcp-doc-server", "run", "server.py"]
    },
    "task-tracker": {
      "command": "uv",
      "args": ["--directory", "/path/to/mcp-doc-server", "run", "task_server.py"]
    }
  }
}

Restart Claude Desktop. The tools appear automatically.

Requirements

  • Python 3.10+
  • UV package manager

License

MIT

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