Other · Local MCP server
Inference AIops
Governed GPU inference ops (vLLM + Ray Serve): latency RCA, scaling, drain, 39 tools.
What the MCP Registry states
The entry as published to the official MCP Registry (read 2026-10-04), latest version.
- Registry name
io.github.AIops-tools/inference-aiops- Version
- 0.10.4
- Status
- Active
- Category
- other
- Transport
- stdio (local process)
- Package
- PyPI
- Published
- 2026-09-16
- Updated
- 2026-09-16
- Publisher
- AIops-tools (GitHub) · 26 servers with pages here
- Repository
- github.com/AIops-tools/Inference-AIops
- Source
- Registry API entry
Packages
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPI | inference-aiops | 0.10.4 | stdio |
How to connect Inference AIops
Inference AIops runs locally from a Python package published to PyPI: inference-aiops version 0.10.4. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx inference-aiops.
In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):
{
"mcpServers": {
"inference-aiops": {
"command": "uvx",
"args": [
"inference-aiops"
]
}
}
}Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect
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| MySQL AIopsGoverned MySQL/MariaDB DBA ops: slow-query, lock-wait, replication & fragmentation RCA; 35 tools. | Local · stdio |
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