TokenTally by Harlo

by FastDrop

MCP MCP VERIFIED Verified 2 hours ago Registry import free

Count tokens (o200k/cl100k), truncate to a budget, chunk text for RAG and estimate LLM cost.

Count tokens (o200k/cl100k), truncate to a budget, chunk text for RAG and estimate LLM cost. Official MCP Registry: dev.workers.mike-tusa.tokentally/tokentally@0.1.0. Remote endpoint: https://tokentally.mike-tusa.workers.dev/mcp

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Remote MCP endpoint ingested from the official registry and probed by FastDrop.

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as dev.workers.mike-tusa.tokentally/tokentally and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.

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Tools this endpoint exposes

Read directly from the endpoint on 1 Nov 2026. Not supplied by the maker.

count_tokens
Count tokens for text in o200k_base and cl100k_base side by side, plus approximate Claude/Gemini/Llama counts with method notes. OpenAI counts (o200k_base, cl100k_base) are exact for those tokenizers.
truncate_to_budget
Truncate text to max_tokens (keep start or end) for an encoding or model.
chunk_text
Split text into token-bounded chunks on paragraph/sentence boundaries with character offsets, token counts and optional overlap.
estimate_cost
Estimate USD cost per model from text or input_tokens plus output_tokens using a dated price table (prices_as_of 2026-10-27). Estimates, not live billing.