Python Sdk

Name: Python Sdk
Author: tierproxy

by tierproxycommunityv0.4.0

TierProxy is a Python SDK for sending HTTP requests through a multi-provider proxy gateway with geo targeting, smart routing, budgeting, caching, retries, and failover. It also includes an MCP server (`tierproxy-mcp`) that exposes proxy actions to Claude/Cursor/Cline/Windsurf as tools.

From the registry: Multi-provider proxy infrastructure for AI/ML. Geo, sessions, cost-aware routing, usage tools.

GitHub Repository Website

Install & configure

Prerequisites

required
Install the TierProxy MCP package
Install the Python package with MCP support so the `tierproxy-mcp` command is available.
```
$ pip install tierproxy[mcp]
```

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `python-sdk` MCP server into my current AI client (that's you).

Required prerequisites (do these first if not already done):
- **Install the TierProxy MCP package** — Install the Python package with MCP support so the `tierproxy-mcp` command is available. Run: `pip install tierproxy[mcp]`

Canonical MCP server config (stdio transport):
- command: `tierproxy-mcp`
- args: []
- required environment variables:
  - `TIERPROXY_API_KEY`: TierProxy API key used by the MCP server to authenticate requests. (example: `<your-tierproxy-api-key>`)

Note: The README documents the MCP server as a stdio command named `tierproxy-mcp`. The package and gateway are marked as preview release in the README.

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.

Note: The README documents the MCP server as a stdio command named `tierproxy-mcp`. The package and gateway are marked as preview release in the README.