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mcp-ollama-beeai MCP Server

@tamdilip

基本信息

分类

AI 与智能体

传输方式

stdio

作者

tamdilip

关于 mcp-ollama-beeai MCP Server

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

mcp-ollama-beeai MCP Server 配置

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该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

mcp-ollama-beeai MCP Server 工具

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概览

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

常见问题

1

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.

2

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`.

3

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.

4

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.

5

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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