Developer · Local MCP server
tierproxy
Multi-provider proxy infrastructure for AI/ML. Geo, sessions, cost-aware routing, usage 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.tierproxy/python-sdk- Version
- 0.4.0
- Status
- Active
- Category
- developer
- Transport
- stdio (local process)
- Package
- PyPI
- Published
- 2026-05-19
- Updated
- 2026-05-19
- Publisher
- tierproxy (GitHub)
- Website
- tierproxy.com
- Repository
- github.com/tierproxy/python-sdk
- Source
- Registry API entry
Packages
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPIruntime: pipx | tierproxy | 0.4.0 | stdio |
How to connect tierproxy
tierproxy runs locally from a Python package published to PyPI: tierproxy version 0.4.0. 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 tierproxy; the entry names pipx as the runtime. It reads the environment variable TIERPROXY_API_KEY (required, secret); set it in the client's configuration for this server. Required arguments: --spec.
In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):
{
"mcpServers": {
"python-sdk": {
"command": "uvx",
"args": [
"tierproxy"
],
"env": {
"TIERPROXY_API_KEY": "<secret>"
}
}
}
}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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