# reactome-mcp

> Use this tool when you need to analyze biological pathways and retrieve specific data through natural language queries. It solves problems related to searching, browsing, and exporting complex biological data, providing a user-friendly interface for AI assistants to interact with Reactome. The tool takes natural language inputs and returns relevant pathway data as output, ideal for use cases requiring efficient and intuitive biological data analysis.

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

## Description

Enables AI assistants to search, browse, analyze, and export biological pathway data from Reactome through natural language.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gffv1zi6ev)
- **Repository:** <https://github.com/reactome/reactome-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": "reactome-reactome-mcp"
    }
  }
}
```

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