Rootpublish MCP server
Which MCP servers are Rootpublish's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-25
- Registry namecom.rootpublish/ai-factsverified in the MCP registry
The registry name sits under rootpublish.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-25
- Tools3
- Server calls itselfrootpublish-ai-facts-remote
- Server version0.1.0
- Protocol version2025-06-18
On 2026-10-25 the server answered initialize and tools/list without a sign-in. First answer in 814 ms.
- Whether its tools do the product's job has not been judged yet.
- Checked on 3 of the 7 days it takes to judge reliability.
Once connected
- For "find wrong plans or contract terms in AI answers", the likely first call is buyer_questions.
- Parameters are untyped or undescribed in 2 of 3 tools: check arguments before calling.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 3 so far
- Answeredmeasuring3 of the 7 daily checks it takes to print a share
- Median first answer817 ms
- Space in an agent's context≈ 433 tokensthe definitions of all its tools (3), which an agent carries on every turn
- Tool definitionsC · 72 of 100
- Typed results0 of 3 toolsdeclared outputSchema: results come typed, read once
- Parameters without a description: in 2 of 3
- Not saying whether it only reads or can destroy: 3 of 3
What an agent can do with it
- not sure · check what AI assistants say about your prices and terms
- can do · find wrong plans or contract terms in AI answers
- not sure · track how AI answers change across repeated buyer questions
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
buyer_questionsStart 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.
company_statementsAfter you have answered the buyer questions: reads the company's pricing and service pages and returns its statements with instructions for comparing your answers.
verify_findingsKeeps 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.
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"ai-facts": {
"type": "http",
"url": "https://rootpublish.com/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http rootpublish https://rootpublish.com/mcpclaude.ai, ChatGPT and other clients: add https://rootpublish.com/mcp as a custom connector in the settings.
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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