# bio-mcp-evo2

> Use this tool when you need to generate, score, and analyze DNA sequences, and solve problems related to variant effect prediction and sequence embedding. The bio-mcp-evo2 tool takes in genomic data as input and outputs scored and analyzed DNA sequences, leveraging the evo2 genomic foundation model. It is particularly useful in contexts where high-performance computing is required, such as local GPU, SLURM clusters, or cloud-based infrastructure like Nvidia NIM.

Canonical page: https://skillsregistry.net/skills/bio-mcp-bio-mcp-evo2  
JSON: https://api.skillsregistry.net/v1/skills/bio-mcp-bio-mcp-evo2

## Description

An MCP server that enables AI assistants to generate, score, and analyze DNA sequences using the evo2 genomic foundation model. It supports multiple execution modes including local GPU, SLURM clusters, and the Nvidia NIM cloud API for tasks like variant effect prediction and sequence embedding.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cyou6fvmux)
- **Repository:** <https://github.com/bio-mcp/bio-mcp-evo2>

## 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": "bio-mcp-bio-mcp-evo2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bio-mcp-bio-mcp-evo2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bio-mcp-bio-mcp-evo2/pull`

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