bristlecone-logic

Bristlecone Logic is a deterministic utility gateway built for Model Context Protocol (MCP) clients and autonomous AI agents.

От сообществаРаботаетБез входаГлобальныйБесплатноТолько чтение

Что умеет

Audit Dns: Performs forward DNS resolution and network routing verification for a target domain. Resolves IPv4 and IPv6 addresses. Use to verify host reachability and guard autonomous agents against S
Chunk Text: Partitions raw text documents into uniform sliding-window segments with configurable character overlap. Returns an array of formatted text chunks. Use when preparing unstructured documents
Eval Expression: Deterministically evaluates arithmetic, mathematical, and logical expressions inside an AST-isolated sandbox. Prevents LLM calculation errors while strictly blocking arbitrary code ex

Какие данные видит

Нужен ли аккаунт

Не нужен: сервер работает без входа

Bristlecone Logic is a deterministic utility gateway built for Model Context Protocol (MCP) clients and autonomous AI agents. The server provides a high-reliability toolkit designed to eliminate syntax errors, calculation drift, and parsing failures during complex agent workflows. It delivers automated malformed JSON repair, sandboxed mathematical expression evaluation, document chunking with custom overlap windows, clean web content extraction, payload schema validation, and forward DNS auditing.

Список инструментов сервера (6)

Технические названия из tools/list. Нужны только разработчикам.

audit_dns	Performs forward DNS resolution and network routing verification for a target domain. Resolves IPv4 and IPv6 addresses. Use to verify host reachability and guard autonomous agents against Server-Side Request Forgery (SSRF) before making HTTP requests. Do not use for WHOIS domain registration lookups or deep port scanning.
chunk_text	Partitions raw text documents into uniform sliding-window segments with configurable character overlap. Returns an array of formatted text chunks. Use when preparing unstructured documents for vector database embeddings and RAG retrieval pipelines. Do not use for syntactic token counting or semantic sentence segmentation.
eval_expression	Deterministically evaluates arithmetic, mathematical, and logical expressions inside an AST-isolated sandbox. Prevents LLM calculation errors while strictly blocking arbitrary code execution. Use for reliable numerical calculations and boolean logic. Do not use for executing arbitrary Python statements or importing external libraries.
extract_web	Fetches and sanitizes readable text content from any public HTTP or HTTPS web page. Strips boilerplate HTML tags, navigation bars, and scripts. Returns clean body text and HTTP status code. Use when an agent needs primary webpage content for summarization or analysis. Do not use for authenticated pages or executing JavaScript.
repair_json	Deterministically parses and repairs malformed, truncated, or unclosed JSON strings produced by LLMs (e.g. missing closing brackets, unescaped quotes, trailing commas). Returns parsed valid JSON object. Use when an LLM produces syntax-broken JSON. Do not use on valid non-JSON prose or for modifying data values.
validate_schema	Deterministically validates that a target JSON payload contains all mandatory keys specified in a reference schema dictionary. Returns a boolean validation status and a list of missing keys. Use when verifying payload structure before downstream processing. Do not use for regex string validation or deep recursive type casting.