mcpField
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Tokeven Cost Advisor

Local
tokeven.comAI & Agents
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About Tokeven Cost Advisor

Price a Claude, GPT, Gemini or Grok call before you send it. Runs locally

Configuration

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

mcp.json · Universal config
{
  "mcpServers": {
    "com-tokeven-tokeven": {
      "command": "uvx",
      "args": [
        "tokeven"
      ]
    }
  }
}
Run commanduvx tokeven

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
pypitokeven0.16.0

Tools

3

Saved tool list · updated 4d ago

ParameterTypeRequiredDescription
taskenumNoOverride auto-detected task type.code-gen | code-review | summarization | extraction | classification | creative | reasoning | qa
modelstringYesThe model ID you're currently planning to use (e.g. claude-opus-4-8).
systemstringNoOptional system prompt (Anthropic style). For OpenAI, include as a system-role message.
messagesarrayYesChat messages in [{"role": "user", "content": "..."}] format.
optimizebooleanNoReturn a locally-optimized prompt alternative (whitespace compression).
max_tokensintegerNoMax output tokens if set — used to bound the output estimate.
service_tierstringNoSpeed tier the call will request (OpenAI: flex, fast/priority, ultrafast). Prices the current model at that tier and shows the standard-speed saving.
cached_input_tokensintegerNoTokens expected to be served from provider cache at the discounted rate.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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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.