Ask runboth.dev in plain language: what RunBoth does, how to install it, and its limits.
Scored across 3 tools
Each tool has a clearly distinct purpose: ask queries the knowledge base, list_sites enumerates supported sites, and trust_lookup retrieves agent trust records. There is no overlap or ambiguity in their intended use.
Tool names are all lowercase snake_case, but their patterns differ: 'ask' is a bare verb, 'list_sites' is verb_noun, while 'trust_lookup' is reversed or compound. The set is readable but lacks a uniform verb-object convention.
With only 3 tools, the set is tightly focused and each clearly earns its place for the server's informational and trust-assessment purpose. The count is well within the 3-15 range for a well-scoped server.
For the stated domain (querying runboth.dev help, listing supported sites, and checking trust records), the surface is complete. An agent can discover the site, ask questions, and evaluate endpoint trust without dead ends.
Ask runboth.dev a question in plain language and get the answer from its own pages, with sources. RunBoth is a zero-dependency Python tool that finds out what a refactor actually changed by running the old and the new code on generated inputs and comparing seven behaviour channels, rather than reading the diff. Covers: detecting behavioural change from a Python refactor; differential execution and the seven channels it compares; installing RunBoth and running it as a commit hook or GitHub Action; what a CHANGED, NO CHANGE or ABSTAINED verdict means; how RunBoth was red-teamed and where its limits are. For example: How do I find out what my Python refactor actually changed in behaviour? Answers come back as ranked pages from runboth.dev with a URL, a score and a one-line reason each.
Inputs: query (required), site, generate_mode.
List the sites this endpoint answers for (runboth.dev).
Inputs: no named parameters.
Look up what AI agents recorded after calling a website or an MCP endpoint: which capability they used, whether it worked, how long it took, and what they learned. Read-only, no key. Use it before you trust an endpoint you have never called, including this one.
Inputs: target (required), top_k.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Read-only facts about Ghostpilot, the AI interview copilot for Mac: product, pricing, download, FAQ.
Ask any GitHub repository a question. Get source-backed answers.
Run Python code from natural language prompts, with optional PyPI package install.
Use your Mac, Windows or Linux computer from ChatGPT, Claude or Codex: files, commands, documents.
Add one secure layer between your agents and this server.
