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ollama-mcp-bridge

Active·★ 89·MIT·Updated 2026-04-06
★ Trending★ API Integration★ Dev Tooling

Extend the Ollama API with dynamic AI tool integration from multiple MCP (Model Context Protocol) servers. Fully compatible, transparent, and developer-friendly, ideal for building powerful local LLM applications, AI agents, and custom chatbots

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.

#ai#ai-agents#api#bridge#fastapi#local-ai#local-llm#mcp
$ Install
$ pip install --upgrade ollama-mcp-bridge
↗ Visit site★ GitHub
01

Features

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
02

Compatibility

Python
Python 3.10+
Verified via docs
Ollama
Ollama API
Verified via docs
MCP Servers
MCP Servers
Verified via docs
03

Quick start

1
$ pip install --upgrade ollama-mcp-bridge
04

Use cases

↳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
05

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Related searches

ollama-mcp-bridge AlternativesBest LLM Infra Tools 2026Open Source LLM Infraollama-mcp-bridge Tutorialollama-mcp-bridge Vs Competitorsaiai-agentsapi

Comments

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  • B
    Blake NguyenApr 15, 2026

    Dynamic MCP tool integration into Ollama extends local models far beyond their defaults

  • O
    Oakley JacksonMar 25, 2026

    Works fine on Mac with Ollama running locally, minimal latency overhead

  • P
    Peyton LewisMar 19, 2026

    The bridge pattern means local models can access the same tools as Claude

  • R
    River AndersonMar 11, 2026

    Good for privacy-sensitive workflows where you want local inference with external tool access

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 89
Last commit1mo ago
StatusActive
LicenseMIT
CategoryLLM Infra
Trend (30d)
+3.5↑ 0.5%
Links
Documentation↗Discussion↗Issues↗Releases↗

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