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Neo — AI/ML Engineering

MCP server · by NeoAIResearch

Developer Tools
Python
v0.5.5

AI/ML engineering MCP server for Neo — submit tasks, track execution, and retrieve outputs.

View source ↗Website ↗More servers

Install

Run one of the commands below, then add the client config underneath.

Python
uvx neo-mcp

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers
{
  "mcpServers": {
    "neo-mcp": {
      "command": "uvx",
      "args": [
        "neo-mcp"
      ]
    }
  }
}

About this server

Neo — AI/ML Engineering is listed in the Developer Tools category of the MCPNav directory. It is distributed as Python and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the Neo — AI/ML Engineering MCP server?＋

Neo — AI/ML Engineering is an MCP server by NeoAIResearch. AI/ML engineering MCP server for Neo — submit tasks, track execution, and retrieve outputs.

How do I install Neo — AI/ML Engineering?＋

Install it with: uvx neo-mcp. Then add the JSON config to your client's MCP settings and restart the client.

Is Neo — AI/ML Engineering free to use?＋

The MCP server itself is free to install. The source is public on https://github.com/NeoAIResearch/neo-mcp. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support Neo — AI/ML Engineering?＋

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.