# tigergraph-mcp

> Use this tool when you need to integrate AI agents with TigerGraph, enabling standardized interactions through the Model Context Protocol (MCP) standard. It solves problems of compatibility and communication between AI systems and TigerGraph, allowing for seamless data exchange and processing. The tool accepts MCP-compliant inputs and outputs async API responses, ideal for use cases requiring real-time graph data processing and analysis.

Canonical page: https://skillsregistry.net/skills/tigergraph-tigergraph-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tigergraph-tigergraph-mcp

## Description

Model Context Protocol (MCP) server for TigerGraph that lets AI agents interact with TigerGraph through the MCP standard using pyTigerGraph's async APIs.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aw03vm5xw8)
- **Repository:** <https://github.com/tigergraph/tigergraph-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tigergraph-tigergraph-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tigergraph-tigergraph-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tigergraph-tigergraph-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt