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.
@tamdilip
基本信息
A minimal agentic app to interact with OLLAMA models leveraging multiple MCP server tools using BeeAI framework.
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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.
.env)Any model you have pulled locally (default is `llama3.1`). Override `OLLAMA_CHAT_MODEL` in `.env` to use a different one.
Postgres and Fetch are pre‑configured. You can add any MCP server from the official examples by editing `mcp-servers.json`.
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.
Set `OLLAMA_BASE_URL` in `.env` (default: `http://localhost:11434/api`) to use a remote server instead of your local Ollama.
No. All interactions are local – the Ollama model runs on your machine and the MCP agents connect to local or remote services you configure.
Official MCP server for BlazingCDN - AI agents (Claude, Cursor, Windsurf) manage CDN resources, purge cache, query metrics, domains, Anycast CDN, Video CDN and Media CDN
HeyLead: AI agent for LinkedIn outreach. Finds the right people, writes in your voice, follows up and handles replies, from Claude Code, Cursor, any MCP client or a web dashboard.
GoBuy gives AI agents marketplace-evidence trust scores. One call returns a 0–100 Evidence Score with observed/missing signals, freshness, and product context. Tools: • check_product_trust — inspect one Amazon, Walmart,

**Melaya gives an AI assistant hands.** It is a remote MCP server, so there is nothing to install and no API key to configure — one URL works in Claude, ChatGPT, Le Chat, Cursor and any MCP client. ### Your Android phon
Open-source Node.js FHIR MCP server with SMART Backend Services, metadata-aware search/CRUD tools, compact responses, FHIRPath filtering, safe pagination, audit events, and terminology lookup.
评论