# Karenina MCP

> Use this tool when you need to analyze model performance data without manual SQL queries, as it enables natural language querying of verification results stored in SQLite databases, solving data exploration and analysis problems for AI assistants. It takes natural language inputs and returns relevant data outputs, streamlining model performance evaluation. Ideal for use cases where manual SQL coding is impractical or inefficient.

Canonical page: https://skillsregistry.net/skills/biocypher-karenina-mcp  
JSON: https://api.skillsregistry.net/v1/skills/biocypher-karenina-mcp

## Description

Enables natural language querying of Karenina benchmark verification results stored in SQLite databases, allowing AI assistants to explore and analyze model performance data without writing SQL manually.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v0pg6s1hwn)
- **Repository:** <https://github.com/biocypher/karenina-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": "biocypher-karenina-mcp"
    }
  }
}
```

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