generate-data-mcp

generate-data-mcp

Thin HTTP wrapper for the Generate-Data.com API, enabling data generation, schema proposal, and field type listing through MCP tools.

Category
Visit Server

README

generate-data-mcp

Public MCP server for Generate-Data.com. Thin HTTP wrapper — no generation logic in this repo.

Monorepo sync: A copy of this package also lives in the main generate-data.com repo under generate-data-mcp/. This repository is the canonical published source.

Tools

Tool API endpoint Description
generate_data POST /api/v2/generate Generate rows from a field schema
list_field_types GET /api/v2/field-types List field types by category
get_field_options GET /api/v2/field-types/{type}/options Options schema for a field type
propose_schema POST /api/v2/ai/schema/propose AI schema from natural language
refine_schema POST /api/v2/ai/schema/refine Refine schema via conversation
get_api_usage GET /api/v2/api-keys/usage Current key usage stats
list_projects GET /api/v2/projects List Projects (Premium)
generate_project POST /api/v2/projects/{id}/generate Generate Project ZIP

V2.1: list_projects and generate_project require a Premium API key.

Tool examples

generate_data — minimum payload:

{
  "fields": [
    {"name": "first_name", "type": "first_name", "options": {}},
    {"name": "email", "type": "email", "options": {}}
  ],
  "num_rows": 10,
  "format": "csv"
}

propose_schemaprompt: "E-commerce customers with name, email, and signup date"

get_api_usage — no parameters; returns calls today, rows generated, tier.

Tier limits (API key)

Capability Free Premium
Max rows / request 100 100,000
Max columns 10 50
Formats CSV CSV, JSON, XML, Parquet
Daily API calls 10 1,000

Limits are enforced by the Django API, not this MCP server.

Configuration

Variable Required Default
GENERATE_DATA_API_KEY Yes
GENERATE_DATA_API_BASE_URL No https://api.generate-data.com

Create an API key in Settings → API Access on generate-data.com.

Install

pip install git+https://github.com/generate-data/generate-data-mcp.git
# or for development:
git clone https://github.com/generate-data/generate-data-mcp.git
cd generate-data-mcp
pip install -e ".[dev]"

Claude Desktop / Cursor

{
  "mcpServers": {
    "generate-data": {
      "command": "python",
      "args": ["-m", "generate_data_mcp.server"],
      "env": {
        "GENERATE_DATA_API_KEY": "your-uuid-key-here",
        "GENERATE_DATA_API_BASE_URL": "https://api.generate-data.com"
      }
    }
  }
}

For local development against a running Django backend:

"GENERATE_DATA_API_BASE_URL": "http://localhost:8000"

Run

export GENERATE_DATA_API_KEY=your-key
python -m generate_data_mcp.server

Verify

  1. export GENERATE_DATA_API_KEY=...
  2. Invoke get_api_usage from your MCP client — should return tier and call counts.
  3. Invoke list_field_types — should return category map.

Troubleshooting

Symptom Fix
GENERATE_DATA_API_KEY is required Set env var before starting the server
HTTP 401 Invalid or deactivated key
HTTP 429 / rate_limit Per-minute or daily cap hit; wait or upgrade tier
HTTP 403 / format_not_allowed Free tier is CSV-only
Connection refused Check GENERATE_DATA_API_BASE_URL

Tests

pip install -e ".[dev]"
pytest tests/ -v

API docs

See docs/API_V2.md in the main repo.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured