Observed MCP server

Tokenomics MCP

Counts LLM prompt tokens and estimates API costs across OpenAI and Anthropic models directly inside MCP-compatible chat clients. Supports exact tokenization for OpenAI models and fallback approximation for Claude when no API key is present.

Security score

—/100

Awaiting a completed comparable scan.

Seven-category assessment pending: authentication, tool poisoning, prompt injection, dangerous capabilities, dependency risk, data exfiltration, and transport security.

Score history

Pending

Immutable methodology-versioned snapshots

Schema drift

Pending

No normalized tool schema observed

Fingerprint

Pending

Repository/package-backed identity

Public findings

No public findings recorded

This is not a safety claim. Check the coverage and revision status before relying on absence of findings.