ollama-mcp-bridge
★ 89
vs
xLAM
★ 621
ollama-mcp-bridge vs xLAM
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.; xLAM: xLAM is a research repository for Large Action Models (LAMs), which aggregates and unifies agent trajectories from diverse environments into a consistent format. It streamlines the creation of a generic data loader optimized for agent training, enabling robust model development across various scenarios.
01
TL;DR
Choose ollama-mcp-bridge if…Enhance local Ollama models with external MCP tools like weather, filesystem, or database queries
Choose xLAM if…Function calling in LLMs
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
xLAM01Aggregates agent trajectories from distinct environments
02Standardizes and unifies trajectories into a consistent format
03Optimized generic data loader for agent training
04Maintains equilibrium across different data sources during training
05Supports efficient inference with Transformers and vLLM
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
xLAM↳Function calling in LLMs
↳Training autonomous agents
↳Multi-turn conversation processing
05
Best For
ollama-mcp-bridgeTrendingAPI IntegrationDev Tooling
xLAMTrending
FAQ
FAQ
What is the difference between ollama-mcp-bridge and xLAM?
Both ollama-mcp-bridge and xLAM are in the LLM Infra category. ollama-mcp-bridge has 89 stars, while xLAM has 621 stars.
Which is better, ollama-mcp-bridge or xLAM?
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 xLAM if Function calling in LLMs.
Is ollama-mcp-bridge free or open source?
Yes, ollama-mcp-bridge is open source on GitHub (MIT).
Is xLAM free or open source?
Yes, xLAM is open source on GitHub (APACHE).
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