# agentql-mcp

> agentql-mcp — tinyfish-io-agentql-mcp. Use this tool when you need to integrate data extraction capabilities into your workflow, specifically for managing model context and extracting relevant information from Git repositories. The agentql-mcp server solves problems related to data integration and model management by providing a protocol for seamless interaction. It takes in Git repository data as input and outputs extracted insights, making it ideal for use cases involving data extraction and model context management.

Canonical page: https://skillsregistry.net/skills/tinyfish-io-agentql-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tinyfish-io-agentql-mcp

## Description

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/tinyfish-io/agentql-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": "tinyfish-io-agentql-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tinyfish-io-agentql-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tinyfish-io-agentql-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