Astral MCP
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Alternatives to Astral MCP
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AlicenseCqualityAmaintenanceComprehensive astrology MCP exposing every endpoint of the AstroWay Calculation API — natal charts, synastry, transits, Vedic dashas, Tarot, Numerology, Human Design. Sub-arcsecond Swiss Ephemeris precision, 10 000 free credits per month.50078 npm4MIT- AlicenseAqualityCmaintenanceAstrology MCP server that computes natal charts, transits, synastry, progressions, returns, eclipses, retrogrades, and moon phases from a real ephemeris, enabling AI agents to provide accurate astrological calculations without hallucination.1299 npm1MIT
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- AlicenseAqualityAmaintenanceEnables AI agents to compute natal charts, horoscopes, synastry, transits, Vedic kundli, panchang, tarot, numerology and other insight domains through 258+ typed tools, hosted as Remote MCP over Streamable HTTP or run locally over stdio with one key.3928 npmMIT
TDQS
Scored across 10 tools
The four computational tools (natal chart, transits, synastry, moon phase) are clearly distinct, but the three informational tools (capabilities, data inventory, agent manifest) overlap in purpose and could confuse an agent choosing which to call. The remaining support tools (birthplace search, demo, connection status) are well-separated.
All tools share the consistent astral_ prefix and use snake_case, giving the set a unified look. However, naming style is mixed: some use verb_noun (compute_natal_chart, search_birthplace) while most are plain nouns (synastry, moon_phase, demo, capabilities), which is a minor inconsistency.
Ten tools is a reasonable count for an astrology server, and each core capability has a dedicated tool. However, five of the ten are meta/informational tools (capabilities, inventory, manifest, demo, status), which feels slightly heavy relative to the five functional tools, though still within an acceptable range.
The server covers the main astrological workflows: natal charts, transits, synastry, moon phase, and geocoding prerequisites. Missing advanced features like progressions or solar returns are acknowledged omissions rather than dead ends, so agents can complete typical tasks without gaps.