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Chanakya-Local-Friend MCP Server

samosa-ai-com/Chanakya-Local-Friend

Score: 62.3 Rank #5692 MCP Server
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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.

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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

Python NOASSERTION

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 213

213 stars → growing community

Freshness 25% 3mo ago

Last commit 3mo ago → stale

Issue Health 25% 87%

40/46 issues closed → responsive maintainer

Contributors 10% 5

5 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 18
Description Detailed
License NOASSERTION

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Freshness high impact

Last commit was 99 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

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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 ba
Read full README on GitHub →

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