Keboola API Documentation MCP Server

Keboola API Documentation MCP Server

Give your AI agents instant access to Keboola API documentation. Search endpoints, get parameter details, and generate curl examples—all through MCP tools.

Category
Visit Server

README

Keboola API Documentation MCP Server

Give your AI agents instant access to Keboola API documentation. Search endpoints, get parameter details, and generate curl examples—all through MCP tools.

Overview

This MCP (Model Context Protocol) server provides AI agents with searchable access to all Keboola API documentation. Instead of manually searching through API docs, your agents can query endpoints, explore sections, and get ready-to-use examples.

Indexed APIs:

  • Storage API (199 endpoints)
  • Management API (129 endpoints)
  • Stream Service (41 endpoints)
  • Templates Service (23 endpoints)
  • Orchestrator API (15 endpoints)
  • Metastore Service (14 endpoints)
  • Query Service (10 endpoints)
  • Generic Extractor API (8 endpoints)
  • AppsProxy Service (7 endpoints)

Features

  • Search endpoints by keyword, API name, or HTTP method
  • Browse by section (Tables, Buckets, Jobs, etc.)
  • Get full details including parameters, request/response examples
  • Generate curl examples for any endpoint
  • Auto-update documentation from GitHub sources

Quick Start

Installation

# Clone the repository
git clone https://github.com/keboola/keboola-api-documentation-mcp-server
cd keboola-api-documentation-mcp-server

# Install dependencies
poetry install

# Update documentation from GitHub
poetry run keboola-docs update

MCP Client Setup

Claude Desktop Configuration

  1. Open Claude Desktop
  2. Go to Claude (menu) → SettingsDeveloperEdit Config
  3. Add the following configuration:
{
  "mcpServers": {
    "keboola-docs": {
      "command": "poetry",
      "args": ["--directory", "/path/to/keboola-api-documentation-mcp-server", "run", "python", "-m", "keboola_docs_mcp.server"]
    }
  }
}

Config file locations:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

Claude Code Configuration

Add the MCP server using the Claude Code CLI:

claude mcp add keboola-docs -- poetry --directory /path/to/keboola-api-documentation-mcp-server run python -m keboola_docs_mcp.server

Or add manually to your Claude Code settings:

{
  "mcpServers": {
    "keboola-docs": {
      "command": "poetry",
      "args": ["--directory", "/path/to/keboola-api-documentation-mcp-server", "run", "python", "-m", "keboola_docs_mcp.server"]
    }
  }
}

Cursor Configuration

  1. Go to SettingsMCP
  2. Click "+ Add new global MCP Server"
  3. Configure with these settings:
{
  "mcpServers": {
    "keboola-docs": {
      "command": "poetry",
      "args": ["--directory", "/path/to/keboola-api-documentation-mcp-server", "run", "python", "-m", "keboola_docs_mcp.server"]
    }
  }
}

Windsurf Configuration

Add to your Windsurf MCP settings:

{
  "mcpServers": {
    "keboola-docs": {
      "command": "poetry",
      "args": ["--directory", "/path/to/keboola-api-documentation-mcp-server", "run", "python", "-m", "keboola_docs_mcp.server"]
    }
  }
}

Using uvx (Alternative)

If you prefer using uvx instead of Poetry:

{
  "mcpServers": {
    "keboola-docs": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/keboola/keboola-api-documentation-mcp-server", "python", "-m", "keboola_docs_mcp.server"]
    }
  }
}

Available MCP Tools

Tool Description
list_apis() List all available Keboola APIs with endpoint counts
search_endpoints(query, api_filter?, method_filter?, limit?) Search for endpoints by keyword
get_endpoint_details(api_name, path, method) Get full endpoint documentation
get_api_section(api_name, section_name?) Get all endpoints in a section
list_sections(api_name) List all sections in an API
get_request_example(api_name, path, method) Generate curl example

Example Queries

Once configured, you can ask your AI agent:

Searching:

  • "Find endpoints for creating tables in Storage API"
  • "Search for token-related endpoints"
  • "What POST endpoints exist in the Management API?"

Exploring:

  • "List all available Keboola APIs"
  • "What sections does the Storage API have?"
  • "Show me all endpoints in the Tables section"

Details:

  • "Get details for POST /v2/storage/buckets"
  • "Show me a curl example for creating a table"
  • "What parameters does the token verification endpoint need?"

CLI Commands

Update Documentation

Fetch the latest API documentation from GitHub:

# Update all docs
poetry run keboola-docs update

# Update specific API
poetry run keboola-docs update --api storage

# Dry run (check for updates without downloading)
poetry run keboola-docs update --dry-run

List Sources

poetry run keboola-docs list-sources

Run Server Manually

poetry run python -m keboola_docs_mcp.server

CI/CD Integration

GitHub Actions Workflow

The repository includes a workflow that automatically updates documentation daily. It runs at 6:00 UTC and commits any changes.

To trigger manually:

  1. Go to ActionsUpdate API Documentation
  2. Click Run workflow

Custom CI Integration

Add to your workflow:

- name: Set up Python
  uses: actions/setup-python@v5
  with:
    python-version: '3.12'

- name: Install Poetry
  uses: snok/install-poetry@v1

- name: Install dependencies
  run: poetry install

- name: Update API documentation
  env:
    GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
  run: poetry run keboola-docs update

- name: Commit changes
  run: |
    git add docs/
    git diff --staged --quiet || git commit -m "chore: update API docs"
    git push

Configuration

sources.yaml

Documentation sources are configured in sources.yaml. Each source specifies:

  • name: API display name
  • url: GitHub raw URL to fetch from
  • output: Local file path
  • format: apib (API Blueprint) or openapi
  • description: Brief description
  • auth_header: Authentication header name (optional)
  • base_url: API base URL (optional)

Example:

sources:
  - name: Storage API
    url: https://raw.githubusercontent.com/keboola/storage-api-php-client/master/apiary.apib
    output: docs/apiary/storage-api.apib
    format: apib
    description: Core data storage API
    auth_header: X-StorageApi-Token
    base_url: https://connection.keboola.com

Private Repositories

The updater automatically uses GITHUB_TOKEN or GH_TOKEN environment variables to access private repositories. In CI, this is provided by GitHub Actions automatically.


Development

Running Tests

poetry run pytest

Project Structure

keboola-api-documentation-mcp-server/
├── docs/
│   ├── apiary/          # API Blueprint documentation
│   └── openapi/         # OpenAPI/Swagger specs
├── src/keboola_docs_mcp/
│   ├── server.py        # MCP server with tools
│   ├── cli.py           # CLI commands
│   ├── updater.py       # Documentation fetcher
│   ├── index.py         # Search index
│   ├── models.py        # Data models
│   └── parsers/         # API Blueprint & OpenAPI parsers
├── tests/
├── sources.yaml         # Documentation sources config
└── pyproject.toml

Troubleshooting

Issue Solution
No endpoints found Run poetry run keboola-docs update to fetch docs
HTTP 404 errors Check GITHUB_TOKEN is set for private repos
Server won't start Ensure Poetry dependencies are installed
Search returns nothing Try broader search terms or check API name

Resources

License

MIT

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