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mcp-assist MCP Server

mike-nott/mcp-assist

Score: 51.7 Rank #15860 MCP Server
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MCP-powered Home Assistant conversation agent that solves entity context limitations through dynamic discovery instead of full entity dumps

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Overview

mike-nott/mcp-assist is a Python tool licensed under MIT. MCP-powered Home Assistant conversation agent that solves entity context limitations through dynamic discovery instead of full entity dumps Topics: conversation-agent, hacs, home-assistant, home-assistant-custom-component, mcp.

Ranked #15860 out of 24846 indexed tools.

Ecosystem

Python MIT 582 pypi/wk
conversation-agenthacshome-assistanthome-assistant-custom-componentmcp

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 110

110 stars → growing community

Freshness 25% 3mo ago

Last commit 3mo ago → stale

Issue Health 25% 54%

29/54 issues closed → decent issue management

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 582/wk

582 weekly installs → early adoption

Forks 23
Description Good
License MIT

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

How to Improve

Description low impact

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Freshness high impact

Last commit was 101 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

topic:mcp

From the README

# MCP Assist for Home Assistant

A Home Assistant conversation agent that uses MCP (Model Context Protocol) for efficient entity discovery, achieving **95% token reduction** compared to traditional methods. Works with LM Studio, llama.cpp, Ollama, OpenAI, Google Gemini, Anthropic Claude, and OpenRouter.

## Key Features

- ✅ **95% Token Reduction**: Uses MCP tools for dynamic entity discovery instead of sending all entities
- ✅ **No Entity Dumps**: Never sends 12,000+ token entity lists to the LLM
- ✅ **Smart Entity Index**: Pre-generated system structure index (~400-800 tokens) for context-aware queries
- ✅ **Multi-Platform Support**: Works with LM Studio, llama.cpp, Ollama, OpenAI, Google Gemini, Anthropic Claude, and OpenRouter
- ✅ **Multilingual Support**: 21 languages with localized UI, system prompts, and speech detection
- ✅ **Multi-turn Conversations**: Maintains conversation context and history
- ✅ **Dynamic Discovery**: Finds entities by area, type, device_class, state, or na
Read full README on GitHub →

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