Burs-IA Utils

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as io.github.soyeladice-svg/bursia-utils and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

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

• find_tool

  Searches the 465 tools of this server by keywords (English or Spanish) and an optional family, and returns the best matches with their input schemas. When: the right tool for a task is not known yet.

• token-estimate

  Heuristically estimates how many LLM tokens a text uses (Latin text ~4 chars/token, CJK ~1 char/token, code and punctuation denser) with a ±25% range. Real counts depend on each model's tokenizer. Whe

• prompt-template-fill

  Fills {{variable}} placeholders (dotted paths allowed, optional {{name|default}}) from a values object, reporting missing and unused variables; strict mode fails on missing values. No code execution.

• json-repair

  Repairs almost-JSON typical of LLM output (code fences, comments, single quotes, unquoted keys, trailing or missing commas, Python True/False/None, NaN, unclosed strings and brackets) and returns the

• json-extract

  Finds and parses JSON objects/arrays embedded in free text (e.g. an LLM reply): fenced ```json blocks first, then balanced {…}/[…] spans; optionally repairs near-JSON. When: an agent loop needs an exa

• code-blocks-extract

  Extracts fenced code blocks (``` or ~~~) from Markdown or LLM output with their language tags and line counts, optionally filtered by language. When: an agent loop needs an exact, repeatable result fo

• rag-chunk

  Splits text into chunks of at most N characters or estimated tokens with overlap, preferring paragraph, then sentence, then word boundaries; returns offsets for citation. When: an agent loop needs an

• dedupe-similar

  Groups near-duplicate strings (Jaccard similarity of character 3-grams ≥ threshold, accent- and case-insensitive) among up to 2,000 items, keeping the first of each group. When: an agent loop needs an