
TG_MCP
A lightweight Python interface that exposes TigerGraph database operations as structured tools and URI-based resources for Claude and other MCP agents.
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
- Features
- Project Structure
- Installation
- Configuration
- Connecting to Claude
- Examples
- Contributing
- 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 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 rules
Installation
-
Clone the repo
git clone https://github.com/Muzain187/TG_MCP.git cd TG_MCP
-
Create & activate a virtual environment
python3 -m venv venv source venv/bin/activate
-
Install dependencies
pip install .
Requires
mcp[cli]>=1.6.0
andpyTigerGraph>=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:
Contributing
- Fork the repository
- Create a feature branch
git checkout -b feature/YourFeature
- Commit your changes
git commit -m "Add YourFeature"
- Push to branch
git push origin feature/YourFeature
- 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.
推荐服务器

Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。