MCP servers that let an AI client send prompts to multiple LLM providers including Gemini, Codex, and local Ollama through standard MCP. It also includes a Claude Code plugin for multi-provider code review, brainstorming, comparison, and a pre-commit review hook.
From the registry: Bridge Claude with local Ollama LLMs for private AI-to-AI collaboration — no API keys, fully local
$ ollama pull qwen2.5-coder:7bPlease install the `ask-ollama` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install Node.js** — Node.js v20.0.0 or higher is required to run the MCP server via npx. (https://nodejs.org/)
- **Install and run Ollama** — Ollama must be installed and running locally for ask-ollama-mcp to work. (https://ollama.com/)
- **Pull an Ollama model** — Pull at least one local model. The README example uses qwen2.5-coder:7b, which is also the documented default model. Run: `ollama pull qwen2.5-coder:7b`
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","ask-ollama-mcp"]
Note: The README provides a dedicated Ollama MCP server package. Preferred portable install path is via npx using the stdio transport. No environment variables are documented for ask-ollama-mcp. The server relies on a local Ollama instance and defaults to model qwen2.5-coder:7b, with qwen2.5-coder:1.5b as fallback if not found.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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