Enables interaction with the GitHub REST API by parsing its documentation and generating tool definitions for endpoints like users and other resources.
Enables interaction with the Stripe API by parsing its documentation and automatically generating tool definitions for its financial and payment services.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCPifyCreate an MCP server for the Stripe API using https://stripe.com/docs/api"
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.
MCPify
Point it at API docs, get an MCP server.
MCPify scrapes API documentation, uses Gemini to figure out the endpoints/auth/params, and spits out a config file. The runtime reads that config and runs an MCP server that Claude (or any MCP client) can use to call the API.
Installation
git clone https://github.com/yourusername/mcpify.git
cd mcpify
pip install -e .Needs Python 3.11+ and a Gemini API key.
Usage
export GEMINI_API_KEY="your-api-key"
# Parse docs into a config file
mcpify parse https://api.example.com/docs -o my-api.json
# Run the server
mcpify serve my-api.json --auth "your-api-token"
# Or do both at once
mcpify quickstart https://api.example.com/docs --auth "token"To use with Claude Desktop, add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"my-api": {
"command": "mcpify",
"args": ["serve", "/path/to/my-api.json", "--auth", "your-token"]
}
}
}CLI
mcpify parse <url> - Scrape docs and generate config
mcpify parse https://docs.github.com/en/rest -o github.json --max-pages 15Option | Description |
| Output file (default: |
| Max pages to scrape (default: 10) |
| Don't follow links |
| Gemini API key (or use env var) |
| Gemini model (default: |
mcpify serve <config> - Run MCP server
mcpify serve my-api.json --auth "Bearer token" --transport stdioOption | Description |
| Auth token for API calls |
|
|
mcpify show <config> - Print config as table
mcpify quickstart <url> - Parse and serve in one shot
Config Format
The generated JSON looks like this:
{
"name": "my-api",
"description": "Description of the API",
"base_url": "https://api.example.com/v1",
"version": "1.0.0",
"auth": {
"type": "bearer",
"header_name": "Authorization",
"prefix": "Bearer "
},
"tools": [
{
"name": "get_users",
"description": "Retrieve a list of users",
"method": "GET",
"path": "/users",
"parameters": [
{
"name": "limit",
"type": "integer",
"description": "Max results to return",
"required": false,
"location": "query",
"default": 10
}
],
"response": {
"description": "Array of user objects"
},
"tags": ["users"]
}
]
}Auth types: none, api_key, bearer, oauth2
Parameter locations: query, path, header, body
Python API
from mcpify.scraper import scrape_documentation
from mcpify.parser import parse_documentation
from mcpify.runtime import create_mcp_server
# Scrape docs
docs = await scrape_documentation("https://api.example.com/docs")
# Parse with Gemini
config = await parse_documentation(docs)
# Save config
config_path = "my-api.json"
with open(config_path, "w") as f:
f.write(config.to_json())
# Create and run server
server = create_mcp_server(config, auth_token="your-token")
server.run()Examples
# GitHub
mcpify parse https://docs.github.com/en/rest/users -o github.json
mcpify serve github.json --auth "ghp_your_token"
# Stripe
mcpify parse https://stripe.com/docs/api -o stripe.json
mcpify serve stripe.json --auth "sk_test_your_key"License
MIT
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