Token Enhancer is a local proxy that reduces the token usage of web pages by stripping them down to clean text before they enter an AI agent's context window.
From the registry: Cuts AI web-fetching costs up to 99.9% by stripping page junk before it reaches your LLM.
$ python3 --version$ pip install xelektron-token-enhancerPlease install the `token-enhancer` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Python** — Python 3.10+ Run: `python3 --version`
- **Install package** — pip install xelektron-token-enhancer Run: `pip install xelektron-token-enhancer`
Canonical MCP server config (stdio transport):
- command: `python3`
- args: ["-m","mcp_server"]
- optional environment variables:
- `REQUESTS_CA_BUNDLE`: SSL CA bundle path for Linux hosts where SSL verification fails (example: `/etc/ssl/certs/ca-certificates.crt`)
Note: No API keys or GPU required. Strips HTML noise from web pages before LLM context. REQUESTS_CA_BUNDLE env var needed on some Linux hosts only.
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.REQUESTS_CA_BUNDLEOverrides the default CA bundle on Linux hosts where SSL verification fails.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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