About CKAN MCP Server
CKAN MCP Server connects MCP-compatible clients to CKAN data portals for browsing and managing portal data. Its tools cover datasets, organizations, resources, datastore searches, and portal status.
Key features
- 01Search and list datasets
- 02View organizations and resources
- 03Search DataStore tables
- 04List groups and tags
- 05Read portal status and details
Use cases
- 01Finding datasets in an open-data portal
- 02Inspecting organization datasets
- 03Searching a resource's DataStore table
MCP support
It exposes CKAN API operations as MCP tools and provides API documentation and configuration as resources. MCP-compatible clients connect over stdio.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMECKAN MCP Server
A Model Context Protocol (MCP) server for the CKAN API that enables browsing and managing CKAN data portals through MCP-compatible clients.
What is this?
This is an MCP server that provides access to CKAN (Comprehensive Knowledge Archive Network) APIs through the Model Context Protocol. It can be used with MCP-compatible clients like Claude Desktop, IDEs, or other AI applications to interact with CKAN data portals.
Requirements
- Python 3.13 or higher
- pip (Python package installer)
Installation
- Install Python dependencies:
pip install -r requirements.txt
Configuration
Set the following environment variables:
CKAN_URL: The base URL of your CKAN portal (e.g.https://demo.ckan.org)CKAN_API_KEY: (Optional) Your CKAN API key for write operations
Example:
export CKAN_URL="https://demo.ckan.org"
export CKAN_API_KEY="your-api-key-here"
You can also copy .env.example to .env and set your configuration there.
Usage
Running the server directly
python mcp_ckan_server.py
Using Docker
# Build the image
docker build -t ckan-mcp-server .
# Run with environment variables
docker run -e CKAN_URL="https://demo.ckan.org" -e CKAN_API_KEY="your-key" ckan-mcp-server
Using Docker Compose
# Copy environment file and configure
cp .env.example .env
# Edit .env with your settings
# Run the server
docker-compose up
Tools
The MCP server provides the following tools:
Packages/Datasets
ckan_package_list: List all packagesckan_package_show: Show details of a specific packageckan_package_search: Search for packages
Organizations
ckan_organization_list: List all organizationsckan_organization_show: Show organization details
DataStore
ckan_datastore_searchSearch DataStore Tables by Resource
Groups and Tags
ckan_group_list: List all groupsckan_tag_list: List all tags
Resources
ckan_resource_show: Show resource details
System
ckan_site_read: Site informationckan_status_show: Status and version information
Examples
Search packages
{
"tool": "ckan_package_search",
"arguments": {
"q": "climate data",
"rows": 5,
"sort": "score desc"
}
}
Show organization
{
"tool": "ckan_organization_show",
"arguments": {
"id": "sample-organization",
"include_datasets": true
}
}
List all tags
{
"tool": "ckan_tag_list",
"arguments": {}
}
Resources
The server also provides the following resources:
ckan://api/docs: API documentationckan://config: Server configuration
Using with MCP Clients
Claude Desktop
Add this to your Claude Desktop configuration file:
{
"mcpServers": {
"ckan": {
"command": "python",
"args": ["/path/to/mcp_ckan_server.py"],
"env": {
"CKAN_URL": "https://demo.ckan.org",
"CKAN_API_KEY": "your-api-key-here"
}
}
}
}
Other MCP Clients
The server communicates via stdio, so any MCP-compatible client can connect to it by running the Python script and communicating through standard input/output.
CKAN API Reference
This MCP server implements the main endpoints of the CKAN API v3. Complete documentation: https://docs.ckan.org/en/latest/api/
License
Mozilla Public License Version 2.0
Author
(C) 2025, Ondics GmbH, https://ondics.de
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.