# datasette-mcp

> datasette-mcp — datasette-datasette-mcp. Use this tool when you need to expose database schemas and execute read-only SQL queries on a Datasette instance. It solves problems related to data exploration and querying by providing an MCP server that lists databases and retrieves their schemas. The tool takes SQL queries as input and returns query results as output, ideal for use cases that require programmatic access to dataset metadata and data.

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

## Description

Adds an MCP server to a Datasette instance, exposing tools to list databases, retrieve database schemas, and execute read-only SQL queries.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/agdcijlb1w)
- **Repository:** <https://github.com/datasette/datasette-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": "datasette-datasette-mcp"
    }
  }
}
```

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