ollama-mcp-bridge
★ 89
vs
on-policy
★ 2.0k
ollama-mcp-bridge vs on-policy
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.; on-policy: This repository implements MAPPO, a multi-agent variant of PPO, widely used in cooperative multi-agent games and research. It provides robust implementations for various multi-agent environments like StarCraft II, Hanabi, and Google Research Football, along with detailed training scripts and hyperparameter guidance.
01
TL;DR
Choose ollama-mcp-bridge if…Enhance local Ollama models with external MCP tools like weather, filesystem, or database queries
Choose on-policy if…Research and experimentation in cooperative multi-agent reinforcement learning
02
Side-by-Side Comparison
03
Features
ollama-mcp-bridge01Pre-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
on-policy01Implementation of MAPPO (Multi-Agent PPO)
02Support for diverse multi-agent environments (e.g., StarCraft II, Hanabi)
03Ready-to-use training scripts for various scenarios
04Detailed hyperparameter guidance and updated results
05Default support for shared policy among agents
04
Use Cases
ollama-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
on-policy↳Research and experimentation in cooperative multi-agent reinforcement learning
↳Benchmarking and evaluating PPO's effectiveness in MARL scenarios
↳Training AI agents for popular multi-agent games like StarCraft II and Hanabi
05
Best For
ollama-mcp-bridgeTrendingAPI IntegrationDev Tooling
on-policyTrendingReinforcement LearningMulti-Agent AI
FAQ
FAQ
What is the difference between ollama-mcp-bridge and on-policy?
Both ollama-mcp-bridge and on-policy are in the LLM Infra category. ollama-mcp-bridge has 89 stars, while on-policy has 2.0k stars.
Which is better, ollama-mcp-bridge or on-policy?
The best choice depends on your use case. Choose ollama-mcp-bridge if Enhance local Ollama models with external MCP tools like weather, filesystem, or database queries, and on-policy if Research and experimentation in cooperative multi-agent reinforcement learning.
Is ollama-mcp-bridge free or open source?
Yes, ollama-mcp-bridge is open source on GitHub (MIT).
Is on-policy free or open source?
Yes, on-policy is open source on GitHub (MIT).
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