Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@TG_MCPshow me the schema for the customer graph"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: Fused MCP Agents
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 throughtgraph://vertex/...andtgraph://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 rulesInstallation
Clone the repo
git clone https://github.com/Muzain187/TG_MCP.git cd TG_MCPCreate & activate a virtual environment
python3 -m venv venv source venv/bin/activateInstall dependencies
pip install .Requires
mcp[cli]>=1.6.0andpyTigerGraph>=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.pyAfter running the above, restart Claude Desktop and you’ll see your MCP tools available via the hammer 🛠 icon.
Examples:
Contributing
Fork the repository
Create a feature branch
git checkout -b feature/YourFeatureCommit your changes
git commit -m "Add YourFeature"Push to branch
git push origin feature/YourFeatureOpen 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.
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