Model Context Protocol (MCP) server for TigerGraph
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# pyTigerGraph-mcp Model Context Protocol (MCP) server for TigerGraph — lets AI agents interact with TigerGraph through the MCP standard. All tools use pyTigerGraph's async APIs for optimal performance. ## Table of Contents - [Requirements](#requirements) - [Installation](#installation) - [Getting Started](#getting-started) - [Usage](#usage) - [Running the MCP Server](#running-the-mcp-server) - [Configuration](#configuration) - [Multiple Connection Profiles](#multiple-connection-profiles) - [Using with Existing Connection](#using-with-existing-connection) - [Client Examples](#client-examples) - [Using MultiServerMCPClient](#using-multiserverMCPclient) - [Using MCP Client SDK Directly](#using-mcp-client-sdk-directly) - [Available Tools](#available-tools) - [LLM-Friendly Features](#llm-friendly-features) - [Structured Responses](#structured-responses) - [Rich Tool Descriptions](#rich-tool-descriptions) - [Token Optimization](#token-optimization) - [Tool Discovery](#tool-discovery) - [Notes](#notes) ## Requirements - **Python 3.10, 3.11, or 3.12** - **TigerGraph 4.1 or later** — Install from the [TigerGraph Downloads page](https://dl.tigergraph.com/) or use [TigerGraph Savanna](https://savanna.tgcloud.io/) for a managed cloud instance. > **Recommended: TigerGraph 4.2+** to enable TigerVector and advanced hybrid retrieval features. ## Installation ```bash pip install pyTigerGraph-mcp ``` This installs: - `pyTigerGraph>=2.0.1` — the TigerGraph Python SDK - `mcp>=1.0.0` — the MCP SDK - `pydantic>=2.0.0` — for data validation - `click` — for the CLI entry point - `python-dotenv>=1.0.0` — for loading `.env` files To enable the `tigergraph__generate_gsql` and `tigergraph__generate_cypher` tools (LLM-powered query generation): ```bash pip install "pyTigerGraph-mcp[llm]" ``` > **Migrating from `pyTigerGraph[mcp]`?** `pip install pyTigerGraph[mcp]` now installs `pyTigerGraph-mcp` automatically. Update your imports from `pyTigerGraph.mcp` to `tig…
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