mcp-ollama-beeai MCP Server

@tamdilip

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

tamdilip

mcp-ollama-beeai MCP Server について

A minimal agentic app to interact with OLLAMA models leveraging multiple MCP server tools using BeeAI framework.

#machine-learning #mcp #chatbot #mcpe-server#reason-react#ollama #agentic-ai#llama3-1#beeai

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概要

What is 🤖 mcp-ollama-beeai?

A minimal client app that interacts with local Ollama models using multiple MCP (Model Context Protocol) agent tools, built with the BeeAI framework. It provides a chat interface where you can select MCP agents – such as Postgres or Fetch – and let the LLM reason and act on your requests.

How to use 🤖 mcp-ollama-beeai?

Install Ollama, serve it locally, and pull at least one model (default: llama3.1). Configure your MCP servers in mcp-servers.json (defaults include Postgres and Fetch). Clone the repo, run npm i && npm start, then open http://localhost:3000. Use the UI dropdowns to choose a server and tool before asking questions.

Key features of 🤖 mcp-ollama-beeai

Chat interface with LLM‑powered reasoning and action steps
Use any local Ollama model (configurable via .env)
Pre‑configured Postgres and Fetch MCP servers
Switch MCP agents on the fly from the UI
Responses rendered in readable Markdown format
Built on the BeeAI framework for easy ReAct agent setup

Use cases of 🤖 mcp-ollama-beeai

Query a local Postgres database using natural language
Fetch and summarise web pages through a chat interface
Experiment with different Ollama models paired with MCP tools
Quickly test and demo MCP‑based agent workflows locally

よくある質問

Which Ollama models are supported?

Any model you have pulled locally (default is `llama3.1`). Override `OLLAMA_CHAT_MODEL` in `.env` to use a different one.

What MCP servers are included by default?

Postgres and Fetch are pre‑configured. You can add any MCP server from the official examples by editing `mcp-servers.json`.

What are the system requirements?

At least 16GB of RAM for models to perform well. Ollama must be installed and running, and Node.js/npm are needed to run the app.

How do I point the app to a different LLM server?

Set `OLLAMA_BASE_URL` in `.env` (default: `http://localhost:11434/api`) to use a remote server instead of your local Ollama.

Does the app require an internet connection?

No. All interactions are local – the Ollama model runs on your machine and the MCP agents connect to local or remote services you configure.

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