bristlecone-logic

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

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What it can do

  • 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

What data it sees

Do you need an account

No: the server works without sign-in

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.

How to connect

How to connect bristlecone-logic to Claude

The server address to paste into Claude settings:

https://bristlecone-logic--joshua-wkl4.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect bristlecone-logic to ChatGPT

The server address to paste into ChatGPT settings:

https://bristlecone-logic--joshua-wkl4.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect bristlecone-logic to Cursor

The server address to paste into Cursor settings:

https://bristlecone-logic--joshua-wkl4.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (6)

Raw names from tools/list. Only developers need these.

audit_dnsPerforms 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_textPartitions 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_expressionDeterministically 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_webFetches 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_jsonDeterministically 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_schemaDeterministically 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.