MCP Server
MCP
Neo — AI/ML Engineering
AI/ML engineering MCP server for Neo — submit tasks, track execution, and retrieve outputs.
Install
uvx neo-mcp
Configuration Example
{
"remotes": [],
"packages": [
{
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"identifier": "neo-mcp",
"version": "0.5.5",
"runtimeHint": "uvx",
"transport": {
"type": "stdio"
},
"environmentVariables": [
{
"description": "Your Neo API secret key (starts with sk-v1-). Get one at https://heyneo.com.",
"isRequired": true,
"isSecret": true,
"name": "NEO_SECRET_KEY"
},
{
"description": "Neo backend environment: 'production' (default) or 'staging'.",
"default": "production",
"name": "NEO_ENVIRONMENT"
},
{
"description": "Project root where Neo tasks read and write files. Must be the git/project root.",
"name": "NEO_WORKSPACE_DIR"
}
]
}
]
}
mcp
model-context-protocol
pypi
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