Rootpublish AI facts check
Server Details
Check what an AI assistant tells buyers about a company against the company's own pricing pages.
The last two health checks of this connector failed. If this server requires authentication, missing or expired test credentials may be the cause. A test profile lets Glama authenticate for health checks and discover tools; it is separate from your personal connections.
If you are the author, claim ownership, then add or update a test profile under Admin → Test Profile.
- Status
- Unhealthy
- Uptime
- 40.9% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- nandarona-inc/rootpublish-ai-facts
- GitHub Stars
- 0
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 3 tools
Each tool occupies a distinct, ordered stage of a single workflow: generate buyer questions, read the company's statements, then verify the findings. The descriptions explicitly sequence them, leaving no overlap or risk of misselection.
All names use consistent snake_case, but the semantic pattern is mixed: two are noun phrases (buyer_questions, company_statements) while one uses a verb_noun form (verify_findings). Readable, but not a single predictable convention.
Three tools map exactly to the three phases of the facts-check pipeline, each earning its place with no redundancy. Well-scoped for the stated purpose.
The surface covers the full lifecycle of a facts check: framing questions, ingesting company statements, and validating discrepancies against quotes. No obvious dead ends, though there is no explicit final-report/export step.
Available Tools
3 toolsbuyer_questionsAInspect
Start an AI facts check: returns the questions a buyer asks about a company. Answer them yourself, with web search, before reading anything from the company.
Inputs: site (required), depth, offer, company.
company_statementsBInspect
After you have answered the buyer questions: reads the company's pricing and service pages and returns its statements with instructions for comparing your answers.
Inputs: site (required), pages, company.
verify_findingsBInspect
Keeps only the differences whose quotes are really in your answer and on the company's page, and finds the pages your answer cited that carry a wrong figure. Call once per answer.
Inputs: site (required), answer (required), judgement (required), pages.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Related MCP Connectors
Verified SaaS, AI, and LLM pricing for 490+ tools: plans, hidden costs, TCO, and alternatives.
Dated AI and virtual receptionist prices, billing terms, integrations and hire-vs-AI costs.
Test whether AI agents complete SaaS pricing, signup or sales journeys; get evidence-backed reports.
Source-linked SaaS pricing records and scenario comparisons for AI agents.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceProvides verified pricing data for SaaS, AI tools, and LLMs across 490+ tools. No API key required, returns sourced records with attribution links.3-
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to compare published prices and licence terms for email verification credits, sound effect packs, and font licences against a given usage, returning ranked options with source links and the date each price was checked. It is read-only and requires no account, API key, or sign-in.MIT
- AlicenseAqualityCmaintenanceEnables AI assistants to search and retrieve verified software comparisons, including current pricing with source and date, and ranked alternatives for software switching decisions.310 npm1MIT
- FlicenseBqualityCmaintenanceAn AI-powered chatbot that researches and tracks LLM inference pricing across providers, stores structured pricing data locally, and answers pricing questions via natural language.2-
Glama MCP Gateway
Add one secure layer between your agents and this server.