ollama-mcp-bridge
★ 89
vs
semble
★ 4.5k
ollama-mcp-bridge vs semble
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.; semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.
01
TL;DR
Choose ollama-mcp-bridge if…Enhance local Ollama models with external MCP tools like weather, filesystem, or database queries
Choose semble if…Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
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
semble01Fast performance on CPU (indexes in ~250ms, queries in ~1.5ms)
02High accuracy (NDCG@10 of 0.854), comparable to transformer models
03Supports indexing local paths and remote Git repositories
04Functions as an MCP server for various AI agents
05Zero setup, no API keys, GPU, or external services required
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
semble↳Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
↳Searching local or remote codebases for specific code snippets based on natural language or code queries
↳Finding semantically similar code sections related to a given file path and line number
05
Best For
ollama-mcp-bridgeTrendingAPI IntegrationDev Tooling
sembleCode AssistantRAG / Knowledge Base
FAQ
FAQ
What is the difference between ollama-mcp-bridge and semble?
Both ollama-mcp-bridge and semble are in the LLM Infra category. ollama-mcp-bridge has 89 stars, while semble has 4.5k stars.
Which is better, ollama-mcp-bridge or semble?
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 semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is ollama-mcp-bridge free or open source?
Yes, ollama-mcp-bridge is open source on GitHub (MIT).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
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