Chanakya-Local-Friend MCP Server
samosa-ai-com/Chanakya-Local-Friend
[](https://agentrank-ai.com/tool/samosa-ai-com--Chanakya-Local-Friend/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Chanakya is an advanced, open-source, and self-hostable voice assistant designed for privacy, power, and flexibility. It leverages local AI/ML models to ensure your data stays with you. It Integrates with 1000+ third-party MCP servers including Home Assistant.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
samosa-ai-com/Chanakya-Local-Friend is a Python MCP server. Chanakya is an advanced, open-source, and self-hostable voice assistant designed for privacy, power, and flexibility. It leverages local AI/ML models to ensure your data stays with you. It Integrates with 1000+ third-party MCP servers including Home Assistant.
Ranked #5692 out of 24846 indexed tools.
Ecosystem
Score Breakdown
213 stars → growing community
Last commit 3mo ago → stale
40/46 issues closed → responsive maintainer
5 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# Chanakya Chanakya is an **advanced, open-source, and self-hostable voice assistant** designed for privacy, power, and flexibility. It can leverage local AI/ML models to help keep data under your control and supports connecting to third-party MCP servers through configuration. A network of intelligent agents collaborates to complete tasks, provide insights, and maintain ongoing workflows. - Chanakya Flask app on `http://127.0.0.1:5513` - AIR service on `http://127.0.0.1:5512` - Conversation layer on `http://127.0.0.1:5514` - Optional A2A bridge on `http://127.0.0.1:18770` The most important setup rule is simple: create the repo-root `.env` and `mcp_config_file.json` before starting the stack. The startup scripts read those files immediately. ## Quick Start ### 1. Prerequisites - Python 3.11 is the safest default for local development. - `python3.11 -m venv` available on your machine. - `uvx` available if you use the example MCP config as-is. - An OpenAI-compatible API key and baRead full README on GitHub →
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