Other · Local MCP server

Token Optimizer

Reversible context compression for AI agents: cut token usage up to 94%, originals retrievable.

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.omkar9854/token_optimizer
Version
0.1.0
Status
Active
Category
other
Transport
stdio (local process)
Package
PyPI
Published
2026-07-19
Updated
2026-07-19
Publisher
omkar9854 (GitHub)
Repository
github.com/omkar9854/token_optimizer
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIruntime: uvxslimctx0.1.0stdioNone declared

How to connect Token Optimizer

Token Optimizer runs locally from a Python package published to PyPI: slimctx version 0.1.0. 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 slimctx.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "token_optimizer": {
      "command": "uvx",
      "args": [
        "slimctx"
      ]
    }
  }
}

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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