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Querit.ai MCP server

Which MCP servers are Querit.ai'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 2026-10-10

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Whose server it is
  • Addresshttps://mcp.querit.ai/mcpnot in the official registry: answered when asked

No entry in the official MCP registry names this server. It answered on querit.ai when the Atlas asked at the address servers are usually mounted on, so it is the vendor's own. Clients and catalogues that list servers from the registry do not show it.

When we asked itchecked 2026-10-27
  • Stateanswerschecked 2026-10-27
  • Tools2
  • Server calls itselfquerit
  • Server version0.1.0
  • Protocol version2025-06-18

On 2026-10-27 the server answered initialize and tools/list without a sign-in. First answer in 51 ms.

Should an agent connect itNot proven either way yet
  • Its tools do every use case we checked: integrate real-time information into AI agents and chatbots; reduce hallucinations in language models with current data; retrieve structured web content for knowledge assistants.
  • Checked on 2 of the 7 days it takes to judge reliability.

Once connected

  • For "integrate real-time information into AI agents and chatbots", the likely first call is querit_search.
  • For "reduce hallucinations in language models with current data", the likely first call is querit_search.

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.

Measured dailydaily checks: 2, the first on 2026-10-27
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 2 so far
  • What an agent can do with it3 of 3 use cases
  • Answeredmeasuring2 of the 7 daily checks it takes to print a share
  • Median first answer112 ms
  • Space in an agent's context≈ 796 tokensthe definitions of all its tools (2), which an agent carries on every turn
  • Tool definitionsA · 100 of 100
  • Typed results2 of 2 toolsdeclared outputSchema: results come typed, read once
  • Every tool passes all six checks.

What an agent can do with it

  • can do · integrate real-time information into AI agents and chatbots
  • can do · reduce hallucinations in language models with current data
  • can do · retrieve structured web content for knowledge assistants

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 →

Tools it offers2 tools · read 2026-10-27
  • querit_search

    Search the live web with Querit. Use for current facts, sources, news, products, and documentation. include_content=true requires a user-provided Querit API Key. Anonymous calls require include_content=false, count<=5, and…

  • querit_contents

    Retrieve clean content and metadata for known webpage URLs, usually after querit_search. Anonymous calls support at most 3 URLs, 4000 characters per page, and crawl_timeout<=15. HTML may be incomplete when content_truncated=true. Returned…

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

{
  "mcpServers": {
    "querit": {
      "type": "http",
      "url": "https://mcp.querit.ai/mcp"
    }
  }
}

Add it

Claude Code, in a terminal

claude mcp add --transport http querit https://mcp.querit.ai/mcp

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://mcp.querit.ai/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.