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TextClean MCP server

Which MCP servers are TextClean'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 2026-10-27

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Whose server it is
  • Registry nameorg.textclean/textcleanverified in the MCP registry

The registry name sits under textclean.org. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-10-27
  • Stateanswerschecked 2026-10-27
  • Tools1
  • Server calls itselfTextClean
  • Server version1.2.1
  • Protocol version2025-06-18

On 2026-10-27 the server answered initialize and tools/list without a sign-in. First answer in 203 ms.

Should an agent connect itNot proven either way yet
  • Its tools do every use case we checked: repair hard line breaks in copied PDF text; strip markdown and HTML from AI chat output.
  • Checked on 6 of the 7 days it takes to judge reliability.

Once connected

  • For "repair hard line breaks in copied PDF text", the likely first call is clean_text.
  • For "strip markdown and HTML from AI chat output", the likely first call is clean_text.

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: 6, the first on 2026-10-27
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 6 so far
  • What an agent can do with it2 of 2 use cases
  • Answeredmeasuring6 of the 7 daily checks it takes to print a share
  • Median first answer288 ms
  • Space in an agent's context≈ 769 tokensthe definitions of all its tools (1), which an agent carries on every turn
  • Tool definitionsA · 100 of 100
  • Typed results1 of 1 toolsdeclared outputSchema: results come typed, read once
  • Every tool passes all six checks.

What an agent can do with it

  • can do · repair hard line breaks in copied PDF text
  • can do · strip markdown and HTML from AI chat output
  • not sure · find and replace literal text in documents

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 offers1 tools · read 2026-10-27
  • clean_text

    Clean supplied text deterministically without rewriting its meaning. Use for copied PDF text, Markdown/HTML artifacts, citations, spacing, or destination formatting; not OCR, file uploads, grammar correction, or AI-authorship detection…

How to connect

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

{
  "mcpServers": {
    "textclean": {
      "type": "http",
      "url": "https://textclean.org/mcp/free"
    }
  }
}

Add it

Claude Code, in a terminal

claude mcp add --transport http textclean https://textclean.org/mcp/free

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://textclean.org/mcp/free 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.