mcpField
A
Anvx Token Economy Intel

Anvx Token Economy Intel

Local
anvx.ioCloud & Infra0Updated 28w ago
RepositoryVisit website

About Anvx Token Economy Intel

Anvx Token Economy Intelligence brings LLM API costs, crypto holdings, and Stripe revenue into one view. It is aimed at teams tracking token-economy finances; the README lists an OpenClaw skill, MCP server, and CLI.

Key features

  1. 01Unified LLM cost and revenue view
  2. 02Crypto holdings overview
  3. 03OpenClaw skill
  4. 04MCP server
  5. 05Command-line interface

Use cases

  1. 01Review LLM API costs alongside revenue
  2. 02Track crypto holdings with token spending
  3. 03Access token-economy intelligence through an MCP client

MCP support

The project provides an MCP server that works with Claude Desktop and ChatGPT. The README does not specify its available tools or data sources.

#finance#ai-costs#tokens#crypto#spending#optimisation#billing#llm#aws#api-costs#cloud#monitoring#devtools#api

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "tje8x-anvx": {
      "command": "uvx",
      "args": [
        "token-economy-intel"
      ]
    }
  }
}
Run commanduvx token-economy-intel

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypitoken-economy-intel0.1.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Token Economy Intelligence

Unified intelligence across your token economy - LLM API costs, crypto holdings, and Stripe revenue in one view.

Surfaces:

  • OpenClaw skill: clawhub install token-economy-intel
  • MCP server: works with Claude Desktop and ChatGPT
  • CLI: uv run python -m engine.main --synthetic --status

Development:

  • Install deps: uv sync
  • Run tests: uv run python -m pytest engine/testing/ -v

License: MIT-0

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.