# mcp-wikipathways

> mcp-wikipathways — pipeworx-io-mcp-wikipathways. Use this tool when you need to access biological pathway information via natural language queries, solving problems related to pathway analysis and discovery. It takes in natural language inputs and returns relevant pathway data from the WikiPathways database. Ideal for use cases requiring integrated biological knowledge, such as disease research and systems biology applications.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-wikipathways  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-wikipathways

## Description

Enables AI agents to query the WikiPathways open community pathway database via natural language, part of the Pipeworx MCP gateway.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ent1hz1r2e)
- **Repository:** <https://github.com/pipeworx-io/mcp-wikipathways>

## 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": "pipeworx-io-mcp-wikipathways"
    }
  }
}
```

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