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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

Why this job: name: mcp; says: model context protocol; topics: mcp-server, model-context-protocol, mcp-client, mcp

What it does

  • Pre-loaded Servers. All MCP servers are connected at startup from JSON configuration
  • JSON Configuration. Configure multiple servers with complex commands and environments
  • Multiple Transport Types. Connect to MCP servers via stdio (local processes), HTTP (StreamableHTTP), or SSE
  • Tool Filtering. Filter tools per server with include/exclude modes for fine-grained control
  • Config Variable Expansion. Supports ${env:VAR_NAME} and ${workspaceFolder} in config strings

Get started

uvx ollama-mcp-bridge

You need: Python >= 3.10.15; Ollama server running (local or remote); MCP server configuration file with at least one MCP server defined (see below for example)

Maintenance
Active
Last commit 46 days ago
Stars
105
On GitHub
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
v0.12.2
Released 53 days ago
Built with
Python
54% of the code

Is it looked after?

Contributors
2
Last 90 days
Issues
73% closed
4 still open
Pull requests
62 merged
9 waiting
Releases
23
12 in the last year

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More: languages, topics and project record

Languages

  • Python 54%
  • HTML 45%
  • Dockerfile <1%

Topics

  • ai
  • ai-agents
  • api
  • bridge
  • fastapi
  • local-ai
  • local-llm
  • mcp
  • mcp-client
  • mcp-server
  • model-context-protocol
  • ollama

Project record

  • JobMCP servers
  • StatusListed
  • Commits69
  • Forks38
  • Watching4
  • Stars in 28 days+1
  • CreatedJun 13, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

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