lm logo
lm
★ 121
vs
ollama-mcp-bridge logo
ollama-mcp-bridge
★ 104

lm vs ollama-mcp-bridge

lm: Houtini LM connects Claude Code to a local LLM, offloading bounded tasks like boilerplate generation, code review, and commit messages to a free, private local model, while Claude handles complex reasoning. It tracks token savings and supports various local LLM backends.; ollama-mcp-bridge: Ollama MCP Bridge is a proxy layer that sits in front of the Ollama API, seamlessly adding tools from multiple MCP servers so that every Ollama request can access all connected tools transparently. It supports streaming, thinking mode, tool filtering, and multiple transport types. The bridge is configurable via JSON, runs as a FastAPI server, and can be installed via pip, uvx, Docker, or from source.

01

TL;DR

lm logo
lmLLM Infra · ★ 121

Generate boilerplate, test stubs, and documentation

ollama-mcp-bridge logo
ollama-mcp-bridgeLLM Infra · ★ 104

Enhance local Ollama models with external MCP tools like weather, filesystem, or database queries

02

Side-by-Side Comparison

Field
lm logolm
ollama-mcp-bridge logoollama-mcp-bridge
Category
LLM Infra
LLM Infra
Stars
★ 121
★ 104
License
MIT
MIT
Install Command
npx -y @houtini/lm
pip install --upgrade ollama-mcp-bridge
Updated
1w ago
4w ago
Open Source
Yes
Yes
Tags
ai-agents, claude-mcp, code-generation
ai, ai-agents, api
03

Features

lm logolm
01Offload bounded tasks to a local LLM via Claude Code
02Token tracking with session footer for cost visibility
03Compatible with multiple local LLM backends (LM Studio, Ollama, vLLM, etc.)
04Streaming responses with 55-second soft timeout to avoid client-side timeouts
05Multiple specialized tools (chat, custom_prompt, code_task, discover, list_models)
ollama-mcp-bridge logoollama-mcp-bridge
01Pre-loaded MCP servers from JSON configuration
02Multiple transport types: stdio, StreamableHTTP, SSE
03Tool filtering with include/exclude modes
04Multi-round tool execution until completion
05Complete Ollama API compatibility with transparent proxying
04

Use Cases

lm logolm
↳Generate boilerplate, test stubs, and documentation
↳Perform code review, explanation, and format conversion
↳Draft commit messages and brainstorm approaches
ollama-mcp-bridge logoollama-mcp-bridge
↳Enhance local Ollama models with external MCP tools like weather, filesystem, or database queries
↳Build AI agents that can autonomously call multiple tools in a single chat session
↳Integrate MCP servers into existing Ollama workflows without modifying client code
FAQ

FAQ

What is the difference between lm and ollama-mcp-bridge?
Both lm and ollama-mcp-bridge are in the LLM Infra category. lm has 121 stars, while ollama-mcp-bridge has 104 stars.
Which is better, lm or ollama-mcp-bridge?
The best choice depends on your use case. Choose lm if Generate boilerplate, test stubs, and documentation, and ollama-mcp-bridge if Enhance local Ollama models with external MCP tools like weather, filesystem, or database queries.
Is lm free or open source?
Yes, lm is open source on GitHub (MIT).
Is ollama-mcp-bridge free or open source?
Yes, ollama-mcp-bridge is open source on GitHub (MIT).
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