misata MCP Server

How to use misata MCP Server

pip install misata

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "name": "io.github.rasinmuhammed/misata",
  "description": "Multi-table synthetic data with FK integrity and exact declared aggregates. No real data.",
  "repository": {
    "url": "https://github.com/rasinmuhammed/misata",
    "source": "github"
  },
  "version": "0.8.7.2",
  "packages": [
    {
      "registryType": "pypi",
      "identifier": "misata",
      "version": "0.8.7.2",
      "transport": {
        "type": "stdio"
      },
      "runtimeHint": "uvx"
    }
  ]
}

What is misata MCP Server?

misata is a Python MCP server for Claude Desktop, Cursor, Windsurf with uvx/pip, git clone, remote URL. High-performance open-source synthetic data engine. Uses LLMs for schema design and vectorized NumPy for deterministic, scalable generation. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Key capabilities

• Tool access support
• Shell commands support
• Browser use support
• Spreadsheet work support
• Document generation support
• OpenAI provider support
• Anthropic provider support

Compatibility and setup

Install or run misata using uvx/pip. Check rasinmuhammed/misata for the latest setup command.

• Built for Python
• Install or run with uvx/pip
• Install or run with git clone
• Install or run with remote URL
• Works with Claude Desktop
• Works with Cursor
• Works with Windsurf
• Uses stdio transport

MCP metadata is retained with field-level source and confidence evidence. Undetected values remain unknown.

Requirements and access

Security and permissions

Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.

When to use misata MCP Server

• Use it for connecting agents to external tools and data.
• Use it for integrations workflows.
• Use it for coding workflows.
• Use it for data workflows.
• Use it for claude desktop users.

Built with

Verified compatibility and discovery

Frequently asked questions