How do I use generate-data-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@generate-data-mcp Propose a schema for an e-commerce product catalog." That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

generate-data-mcp

by ns-3e

Overview Schema Related Servers Score Discussions

Python

Remote

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_schema — prompt: "E-commerce customers with name, email, and signup date"

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

Related MCP server: Ready APIs

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

export GENERATE_DATA_API_KEY=...
Invoke get_api_usage from your MCP client — should return tier and call counts.
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.

Install Server

license - permissive license

quality

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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