jonigl

jonigl/ollama-mcp-bridge

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

4 good first / help-wanted issues · Python · last activity Aug 18, 2026

96 stars 35 forks 96 watchers Python MIT License
ai ai-agents api bridge fastapi local-ai local-llm mcp mcp-client mcp-server model-context-protocol ollama ollama-api proxy tools
View on GitHub
4 Open Issues Need Help Last updated: Aug 18, 2026

Open Issues Need Help

View All on GitHub
No supported WebSocket library detected. about 2 months ago
help wanted
jonigl/ollama-mcp-bridge
96

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

Python
#ai#ai-agents#api#bridge#fastapi#local-ai#local-llm#mcp#mcp-client#mcp-server#model-context-protocol#ollama#ollama-api#proxy#tools
Streaming tool-call requests emit an intermediate `done: true` before the final answer, breaking Open WebUI stream handling about 2 months ago
bug good first issue
jonigl/ollama-mcp-bridge
96

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

Python
#ai#ai-agents#api#bridge#fastapi#local-ai#local-llm#mcp#mcp-client#mcp-server#model-context-protocol#ollama#ollama-api#proxy#tools
No `npx` available in docker 5 months ago
enhancement good first issue
jonigl/ollama-mcp-bridge
96

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

Python
#ai#ai-agents#api#bridge#fastapi#local-ai#local-llm#mcp#mcp-client#mcp-server#model-context-protocol#ollama#ollama-api#proxy#tools
/api/chat failed: Extra data: line 2 column 1 (char 140) 9 months ago
bug good first issue
jonigl/ollama-mcp-bridge
96

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

Python
#ai#ai-agents#api#bridge#fastapi#local-ai#local-llm#mcp#mcp-client#mcp-server#model-context-protocol#ollama#ollama-api#proxy#tools