# BioPython MCP Server

> Use this tool when you need to analyze biological sequences, align genomes, or access bioinformatics databases through a standardized interface. The BioPython MCP Server solves problems in sequence analysis, protein structure prediction, and phylogenetics by providing a comprehensive set of BioPython capabilities. It accepts biological data as input and outputs analyzed results, ideal for use in AI-assisted bioinformatics workflows requiring automated data processing and analysis.

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

## Description

Provides comprehensive BioPython capabilities for biological sequence analysis, alignment, database access (GenBank, UniProt, PubMed), protein structure analysis, and phylogenetics through a Model Context Protocol interface for AI-assisted bioinformatics workflows.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dfkvpq4sxu)
- **Repository:** <https://github.com/kmaneesh/biopython-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": "kmaneesh-biopython-mcp"
    }
  }
}
```

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