About AIReady
Sahadeva is a research-preview Jyotish workspace with web, mobile, and MCP interfaces for chart calculations and consultations. The input tagline describes AIReady, but the README documents Sahadeva, so this overview follows the README.
Key features
- 01Deterministic chart and Panchanga calculations
- 02Consultation and compatibility tools
- 03MCP tools, prompts, and resources
- 04Evidence and prediction-readiness checks
- 05Optional Cloudflare-hosted AI narration
- 06Web and Expo mobile interfaces
Use cases
- 01Explore a natal chart and related consultations
- 02Compare compatibility using distinct traditions
- 03Audit evidence and prediction readiness before interpretation
MCP support
Provides a Streamable HTTP MCP endpoint with tools for charts, reports, consultations, and evidence checks, plus prompts and resources describing workflows and security. Chart calculation does not require an LLM.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://ai-ready.magicteams.ai/mcpclaude mcp add --transport http everyai-com-ai-ready https://ai-ready.magicteams.ai/mcp{"mcpServers":{"everyai-com-ai-ready":{"type":"http","url":"https://ai-ready.magicteams.ai/mcp"}}}Open in Cursor{"servers":{"everyai-com-ai-ready":{"type":"http","url":"https://ai-ready.magicteams.ai/mcp"}}}Open in VS Code{"mcpServers":{"everyai-com-ai-ready":{"type":"http","url":"https://ai-ready.magicteams.ai/mcp"}}}{"mcpServers":{"everyai-com-ai-ready":{"serverUrl":"https://ai-ready.magicteams.ai/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
5| Parameter | Type | Required | Description |
|---|---|---|---|
| domain | string | Yes | Public domain or URL to scan, e.g. example.com or https://example.com/page (path is ignored; no IPs, ports or localhost). |
Details
The maintainer has not added details yet. Check the README in the repository.
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.