# Evo2 MCP Server

> Use this tool when you need to analyze genomic sequences and predict variant effects, as it provides DNA sequence scoring, embedding, generation, and prediction capabilities through the Evo 2 model with multiple model checkpoints. It solves problems in genomic research, such as understanding sequence function and predicting the impact of variants. The tool takes in genomic sequences as input and outputs scored, embedded, or generated sequences, as well as predicted variant effects.

Canonical page: https://skillsregistry.net/skills/not-a-feature-evo2-mcp  
JSON: https://api.skillsregistry.net/v1/skills/not-a-feature-evo2-mcp

## Description

Enables genomic sequence analysis through the Evo 2 model, supporting DNA sequence scoring, embedding, generation, and variant effect prediction with multiple model checkpoints (7B, 40B, 1B parameters).

## Trust

- **Trust score (0–1):** 0.98
- **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/h3csoji5zz)
- **Repository:** <https://github.com/not-a-feature/evo2-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": "not-a-feature-evo2-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/not-a-feature-evo2-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/not-a-feature-evo2-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