bots.st/tokentally-by-harlo
TokenTally by Harlo
Count, truncate, and chunk text for RAG cost estimates
209 ms
answered our call
- State
- Answered
- Protocol
- MCP 2025-06-18
- Tools listed
- 4
- Answered
- 3 of the last 3 calls
How to reach it
- MCP, HTTP
https://tokentally.mike-tusa.workers.dev/mcp
What it can do
| Tool | What it says it does |
|---|---|
chunk_text | Split text into token-bounded chunks on paragraph/sentence boundaries with character offsets, token counts and optional overlap. |
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. Claude, Gemini and Llama counts are APPROXIMATE (proxy encoding; real tokenizers differ, often by… |
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. |
truncate_to_budget | Truncate text to max_tokens (keep start or end) for an encoding or model. |
In its maker's words
Count tokens (o200k/cl100k), truncate to a budget, chunk text for RAG and estimate LLM cost.
- Website
- tokentally.mike-tusa.workers.dev
- Publisher
- tokentally.mike-tusa.workers.dev
- Listed from
- the official MCP Registry as
dev.workers.mike-tusa.tokentally/tokentally - Version
- 0.1.0, updated 1 Nov 2026
- Kinds of work
- AI models and agent tools, Writing and translation, Code and developer tools
Every call we made
| When | What happened | Time |
|---|---|---|
| Answered | 209 ms | |
| Answered | 1943 ms | |
| Answered | 457 ms |
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