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Neo — AI/ML Engineering MCP Server

by neoresearchai Your server? Claim it
local only

Neo — AI/ML Engineering runs on your own machine — the client starts it, so there is no endpoint to ping. 178 installs a week from pypi.

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

The linked repository no longer exists on GitHub — it was deleted or made private.

Installs per day peak 232 · avg 63 · -33% w/w
a month agotoday
178
Installs / week
pypi · neo-mcp
—
Stars
on GitHub
—
Last commit
from GitHub
—
License
language unknown

This one has been quiet for a while

Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.

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Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add MCPServer -e 'NEO_SECRET_KEY=<NEO_SECRET_KEY>' -e 'NEO_WORKSPACE_DIR=<NEO_WORKSPACE_DIR>' -- uvx neo-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "MCPServer": {
      "command": "uvx",
      "args": [
        "neo-mcp"
      ],
      "env": {
        "NEO_SECRET_KEY": "<NEO_SECRET_KEY>",
        "NEO_WORKSPACE_DIR": "<NEO_WORKSPACE_DIR>"
      }
    }
  }
}
~/.codex/config.toml
[mcp_servers.MCPServer]
command = "uvx"
args = ["neo-mcp"]
env = { NEO_SECRET_KEY = "<NEO_SECRET_KEY>", NEO_WORKSPACE_DIR = "<NEO_WORKSPACE_DIR>" }
.cursor/mcp.json
{
  "mcpServers": {
    "MCPServer": {
      "command": "uvx",
      "args": [
        "neo-mcp"
      ],
      "env": {
        "NEO_SECRET_KEY": "<NEO_SECRET_KEY>",
        "NEO_WORKSPACE_DIR": "<NEO_WORKSPACE_DIR>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "MCPServer": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "neo-mcp"
      ],
      "env": {
        "NEO_SECRET_KEY": "<NEO_SECRET_KEY>",
        "NEO_WORKSPACE_DIR": "<NEO_WORKSPACE_DIR>"
      }
    }
  }
}

Put your own values in place of <NEO_SECRET_KEY> (Your Neo API secret key (starts with sk-v1-). Get one at https://heyneo.com), <NEO_WORKSPACE_DIR> (Absolute path to your project/git root where Neo writes files. Required for Postman and recommended for all clients). The author’s registry entry marks them as required.

Optional settings from the registry entry, left out of the block above: NEO_ENVIRONMENT (Neo backend environment: 'production' (default) or 'staging').

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Neo — AI/ML Engineering — questions

Answers built from our own checks of this server.

Why is there no uptime for Neo — AI/ML Engineering?
Neo — AI/ML Engineering runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package neo-mcp was installed 178 times last week.
Is Neo — AI/ML Engineering still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect Neo — AI/ML Engineering?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls neo-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use Neo — AI/ML Engineering?
The pypi package neo-mcp was installed 178 times in the last week. Week over week that is -33%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.