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Documentation

MCP Server

Requires SAGE API Plan

MCP Server access is included with the SAGE API subscription — a separate plan from Advanced Chart. An Advanced Chart key cannot connect to the MCP endpoint. See billing for details.

The Model Context Protocol (MCP) is an open standard that lets AI assistants — Claude, GPT, custom agents — discover and call external tools in a structured way. Instead of crafting HTTP requests, the AI client negotiates capabilities with the server and invokes tools by name.

THD exposes a single MCP endpoint that gives AI agents access to Human Design chart generation, composite analysis, transits, and planetary returns — plus read-only reference resources for terminology and field definitions.

Endpoint

POST https://api.totalhumandesign.com/mcp

Transport: Streamable HTTP (the MCP standard HTTP transport). Your MCP client handles the protocol automatically.

Authentication

Use the same API key you use for the REST API:

Authorization: Bearer thd_YOUR_API_KEY

Generate or manage keys from your dashboard.

Available capabilities

Tools (4)

ToolDescription
generate_chartGenerate a full V2 Human Design chart from birth data
generate_compositeGenerate a composite chart for two people
get_transitsGet planetary transit data for a date range
get_planetary_returnCalculate a planetary return chart

Resources (2)

URIDescription
thd://reference/terminologyHuman Design terminology — types, strategies, authorities, centers, channels, gates
thd://reference/chart-fieldsV2 chart response field definitions, data types, and nested object structure

MCP vs REST

Use caseChoose
AI agent integration (Claude Desktop, Cursor, custom LLM pipelines)MCP
Traditional app, mobile client, server-to-serverREST API
SAGE knowledge queriesREST API (SAGE is REST-only)

MCP tools return the same chart data as the REST endpoints. The protocol layer is different — JSON-RPC over Streamable HTTP instead of plain REST — but the underlying data is identical.

Data only

MCP tools return raw chart data, not AI-generated interpretations. If you need natural-language explanations from the knowledge base, use the SAGE API via REST.

Next steps