How do I install the tokencast mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

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Tokencast MCP Server

Pre-execution cost estimation for LLM agent workflows with calibration learning

Local serverstdioPython

What is the Tokencast MCP Server?

Pre-execution cost estimation for LLM agent workflows with calibration learning

The short version

Pre-execution cost estimation for LLM agent workflows. Get a cost estimate before running any agent task, then let tokencast learn from actuals to improve accuracy over time.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
estimate_cost	Estimate API cost for a planned task before running it
get_calibration_status	Check whether your estimates are well-calibrated
get_cost_history	Browse past estimates vs actuals
report_session	Report actual cost at session end to improve calibration
report_step_cost	Record the cost of a single pipeline step during a session

How to install the Tokencast MCP Server

{
  "mcpServers": {
    "tokencast": {
      "command": "uvx",
      "args": ["tokencast"]
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Example prompts to try

“Use Tokencast to estimate cost.”
“Use Tokencast to get calibration status.”
“Use Tokencast to get cost history.”

Frequently asked questions

Pre-execution cost estimation for LLM agent workflows with calibration learning Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.