MCP Server für Kerykeion
@JonesH
About MCP Server für Kerykeion
This template provides a streamlined foundation for building Model Context Protocol (MCP) servers in Python. It's designed to make AI-assisted development of MCP tools easier and more efficient.
Basic information
Config
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Overview
What is MCP Server für Kerykeion?
MCP Server für Kerykeion is a Model Context Protocol server that integrates the Kerykeion astrology library. It provides access to astrological data such as planet positions, houses, and aspects through MCP resources and tools.
How to use MCP Server für Kerykeion?
Install via pip install kerykeion-mcp. Then use a Python script that imports from kerykeion_mcp import mcp and runs mcp.run() to start the server. Once running, clients can access resources like chart://{name} and tools like register_chart.
Key features of MCP Server für Kerykeion
- Registers birth charts with automatic geo-lookup.
- Queries planets, houses, and aspects.
- Persistent caching of chart data.
- Full integration with the MCP protocol.
- Provides data in multiple formats, including JSON.
Use cases of MCP Server für Kerykeion
- Retrieve a complete birth chart summary for a person.
- Get all planet positions for a given chart.
- Look up details of a single planet or house.
- Access all aspects in a chart.
- Obtain full chart data as JSON for further processing.
FAQ from MCP Server für Kerykeion
How do I install the server?
Run pip install kerykeion-mcp to install the package.
How do I register a new birth chart?
Use the register_chart tool with the person’s name and birth details. The server automatically performs a geo-lookup.
What data can I access via resources?
You can access chart summaries, planet positions, house positions, aspects, and full JSON data using URIs like chart://{name}/planets or chart://{name}/json.
Does the server cache chart data?
Yes, it has persistent caching of chart data to avoid recomputation.
What are the runtime dependencies?
The package depends on the Kerykeion astrology library and the MCP framework, automatically installed via pip.
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