TG_MCP

TG_MCP

A lightweight Python interface that exposes TigerGraph database operations as structured tools and URI-based resources for Claude and other MCP agents.

Category
Visit Server

README

TG_MCP

A lightweight Python interface that exposes TigerGraph operations (queries, schema, vertices, edges, UDFs) as structured tools and URI-based resources for MCP agents.

Table of Contents

  1. Features
  2. Project Structure
  3. Installation
  4. Configuration
  5. Connecting to Claude
  6. Examples
  7. Contributing
  8. License

Features

  • Schema Introspection
    Retrieve full graph schema (vertex & edge types).

  • Query Execution
    Run installed GSQL queries or raw GSQL strings with parameters.

  • Vertex & Edge Upsert
    Create or update vertices and edges programmatically.

  • Resource URIs
    Access graph objects through tgraph://vertex/... and tgraph://query/... URIs.

  • UDF & Algorithm Listing
    Fetch installed user-defined functions and GDS algorithm catalogs.

Project Structure

TG_MCP/
├── config.py            # Environment config (HOST, GRAPH, SECRET)
├── tg_client.py         # Encapsulates TigerGraphConnection and core operations
├── tg_tools.py          # `@mcp.tool` definitions exposing client methods
├── tg_resources.py      # `@mcp.resource` URI handlers
├── main.py              # MCP app bootstrap (`mcp.run()`)
├── pyproject.toml       # Project metadata & dependencies
├── LICENSE              # MIT License
└── .gitignore           # OS/Python ignore rules

Installation

  1. Clone the repo

    git clone https://github.com/Muzain187/TG_MCP.git
    cd TG_MCP
    
  2. Create & activate a virtual environment

    python3 -m venv venv
    source venv/bin/activate
    
  3. Install dependencies

    pip install .
    

    Requires mcp[cli]>=1.6.0 and pyTigerGraph>=1.8.6.

Configuration

Set the following environment variables before running:

export TG_HOST=https://<your-tigergraph-host>
export TG_GRAPH=<your-graph-name>
export TG_SECRET=<your-api-secret>

These are read by config.py.

Connecting to Claude

This MCP server can be installed into the Claude Desktop client so that Claude can invoke your TigerGraph tools directly:

uv run mcp install main.py

After running the above, restart Claude Desktop and you’ll see your MCP tools available via the hammer 🛠 icon.

Examples:

image

image

Contributing

  1. Fork the repository
  2. Create a feature branch
    git checkout -b feature/YourFeature
    
  3. Commit your changes
    git commit -m "Add YourFeature"
    
  4. Push to branch
    git push origin feature/YourFeature
    
  5. Open a Pull Request

Please ensure all new code is covered by tests and follows PEP-8 style.

License

This project is licensed under the MIT License.

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