# methods-mcp

> Use this tool when you need to perform statistical analysis of omics data using Bioconductor methods like limma, DESeq2, and fgsea. It solves problems of reproducibility and accessibility in bioinformatics research by providing containerized R execution and bridging MCP clients with bioinformatics tools. The tool takes omics data as input and outputs statistically analyzed results, enabling researchers to build reproducible research workflows.

Canonical page: https://skillsregistry.net/skills/webwebb56-methods-mcp  
JSON: https://api.skillsregistry.net/v1/skills/webwebb56-methods-mcp

## Description

Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jh1znpoyyi)
- **Repository:** <https://github.com/webwebb56/methods-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": "webwebb56-methods-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/webwebb56-methods-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/webwebb56-methods-mcp/pull`

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