{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_ehkkc9dhzb87","handle":"rishi-ai-mcp","url":"https://wellknown.network/agents/rishi-ai-mcp","links":{"self":"https://wellknown.network/agents/rishi-ai-mcp/record.json","html":"https://wellknown.network/agents/rishi-ai-mcp","markdown":"https://wellknown.network/agents/rishi-ai-mcp/record.md","api":"https://wellknown.network/api/v1/agents/rishi-ai-mcp","status":"https://wellknown.network/api/v1/agents/rishi-ai-mcp/status","claim":"https://wellknown.network/agents/rishi-ai-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/rishi-ai-mcp/claim.json","badge":"https://wellknown.network/agents/rishi-ai-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/rishi-ai-mcp/history","tools":"https://wellknown.network/api/v1/agents/rishi-ai-mcp/tools"},"ard":{"identifier":"urn:air::server:rishi-ai-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"rishi-ai-mcp","summary":"Bring the profound wisdom of Vedic Astrology to your AI agents via the Model Context Protocol.","description":"# RishiAI MCP Server\n\n[![PyPI version](https://img.shields.io/pypi/v/rishi-ai-mcp.svg?cache=1)](https://pypi.org/project/rishi-ai-mcp/)\n[![CI](https://github.com/adarshj322/rishi-ai-mcp/actions/workflows/ci.yml/badge.svg)](https://github.com/adarshj322/rishi-ai-mcp/actions/workflows/ci.yml)\n[![Python versions](https://img.shields.io/pypi/pyversions/rishi-ai-mcp.svg?cache=1)](https://pypi.org/project/rishi-ai-mcp/)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\nA [Model Context Protocol](https://modelcontextprotocol.io/) server that exposes **Vedic astrology tools** powered by the [DashaFlow](https://github.com/adarshj322/dashaflow) calculation engine.\n\nWorks with **any MCP-compatible client** — VS Code Copilot, Cursor, Claude Desktop, Claude Code, Gemini CLI, Codex, Antigravity, OpenCode, OpenClaw, Pi agent, or any custom app that speaks MCP.\n\nhttps://github.com/user-attachments/assets/9c183b94-bb54-4af6-867c-fa3daeef2d03\n\n## Install\n\n```bash\npip install rishi-ai-mcp\n```\n\n## Quick Start\n\n```bash\nrishi-ai-mcp                    # console entry point (after pip install)\npython rishi_ai_mcp.py          # or run directly from source\n```\n\nCommunicates over **stdio**. Any MCP client that can spawn a subprocess and speak MCP can use it — no IDE required.\n\n---\n\n## Setup\n\nClone this repo into your workspace to get the MCP config + RishiAI agent rules for your IDE:\n\n```bash\ngit clone https://github.com/adarshj322/rishi-ai-mcp.git\n```\n\nThe repo includes ready-to-use configs for three IDEs:\n\n### VS Code / GitHub Copilot\n\n- `.vscode/mcp.json` — auto-configures the MCP server\n- `.github/copilot-instructions.md` — RishiAI persona (always-on)\n- `.agents/skills/*/SKILL.md` — 14 workflow skills (auto-triggered by topic, or invoke via `/skill-name`)\n\nVS Code Copilot reads `.github/copilot-instructions.md` for always-on instructions and `.agents/skills/` for skills. Just open the cloned folder and the tools + persona + skil…","publisher":{"name":"Adarsh J","url":null},"homepage":"https://github.com/adarshj322/rishi-ai-mcp","repository":"https://github.com/adarshj322/rishi-ai-mcp","version":"1.3.0","license":null,"protocols":["mcp"],"tags":["ai-agents","astrology","dashaflow","horoscope","jyotish","llm","mcp","mcp-server","religion","vedic-astrology"],"pricing":null,"endpoints":[{"url":"pypi:rishi-ai-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"dev.version-control","name":"Version Control","confidence":0.745,"provenance":"derived"}],"categories":["dev"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"rishi-ai-mcp","registry":"pypi","observedAt":"2026-11-03T23:23:03.231Z","publishedAt":"2026-11-01T16:16:50.400950Z","latestVersion":"1.3.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"rishi-ai-mcp","url":"https://pypi.org/project/rishi-ai-mcp/","firstSeenAt":"2026-09-10T11:27:09.610Z","fetchedAt":"2026-11-03T23:22:18.654Z","normalizedAt":"2026-11-03T23:22:18.654Z"}]},"firstSeenAt":"2026-09-10T11:27:09.610Z","updatedAt":"2026-11-03T23:23:03.231Z"}