# BioMCP

> Use this tool when you need to analyze protein structures and identify disease-related proteins, as it enhances large language models with protein structure analysis capabilities and interfaces with established protein databases to provide insights into protein active sites. BioMCP takes protein sequences or structures as input and outputs detailed analysis and search results. It is ideal for use cases involving protein research, disease diagnosis, and drug discovery.

Canonical page: https://skillsregistry.net/skills/acashmoney-bio  
JSON: https://api.skillsregistry.net/v1/skills/acashmoney-bio

## Description

BioMCP is a Model Context Protocol (MCP) server designed to enhance large language models with protein structure analysis capabilities. It provides tools for analyzing protein active sites and searching for disease-related proteins by interfacing with established protein databases.

Future work will be centered around enabling agents to utilize the BioMCP.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/acashmoney-bio)
- **Repository:** <https://github.com/acashmoney/bio-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": "acashmoney-bio"
    }
  }
}
```

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