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Clawhard Studio MCP server

Which MCP servers are Clawhard Studio'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 2026-10-29

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Whose server it is
  • Registry namecom.clawhard/studioverified in the MCP registry

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

When we asked itchecked 2026-10-29
  • Stateanswerschecked 2026-10-29
  • Tools13
  • Server calls itselfcom.clawhard/studio
  • Server version1.0.0
  • Protocol version2025-06-18

On 2026-10-29 the server answered initialize and tools/list without a sign-in. First answer in 69 ms.

Should an agent connect itNot proven either way yet
  • Its tools do trim base64 blobs and repeated log lines from prompts, but not compare thread cost across 128k, 200k, and 1m context windows.
  • Checked on 5 of the 7 days it takes to judge reliability.

Once connected

  • For "trim base64 blobs and repeated log lines from prompts", the likely first call is tokendiet_trim_text.
  • runsheet_create, halves_create_group change data without a sign-in: anyone with the address can call them.

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: 5, the first on 2026-10-29
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 5 so far
  • What an agent can do with it1 of 2 use cases
  • Answeredmeasuring5 of the 7 daily checks it takes to print a share
  • Median first answer68 ms
  • Space in an agent's context≈ 2,710 tokensthe definitions of all its tools (15), which an agent carries on every turn
  • Tool definitionsA · 100 of 100
  • Typed results0 of 15 toolsdeclared outputSchema: results come typed, read once
  • Every tool passes all six checks.

What an agent can do with it

  • can do · trim base64 blobs and repeated log lines from prompts
  • not sure · see token counts before and after trimming
  • cannot · compare thread cost across 128k, 200k, and 1m context windows

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

  • Tools that change data, on a server that answers without a sign-in: runsheet_create, halves_create_group

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 offers13 tools · read 2026-10-29
  • tokendiet_trim_text

    Shrinks a prompt, chat, log, stack trace, JSON dump or code paste so it uses fewer tokens: removes base64 and data blobs, minifies JSON, shortens stack traces, squashes repeated log lines, strips code comments and link tracking…

  • slopscore_check_site

    Fetches a public web page and its main stylesheets and scripts once, then scores it from 0 (hand-made feel) to 100 (certified slop) against 19 design and copy habits that make a site look AI-made (purple gradients, gradient headlines…

  • aitab_list_plans

    Lists the AI subscription plans AI Tab knows (chat assistants, coding tools, image and video, voice and music, work) with their USD list prices and the plan keys to pass to the total tool.

  • aitab_total

    Adds up a list of AI subscriptions and returns the monthly, yearly and daily total, where the user is paying twice for the same thing (overlaps), what could be cut and how much that saves, plus a link that opens the shareable receipt. Use…

  • tells_score_text

    Checks a piece of writing for the habits that make people think a chatbot wrote it (em dashes, words like "delve", assistant filler like "I hope this helps", "it's not X, it's Y", fake suspense, stiff transitions, markdown leftovers…

  • tells_fix_text

    Rewrites the easy tells: swaps em dashes for commas, chatbot words for plain ones, strips assistant filler, markdown stars and emoji bullets, fixes stiff transitions. Habits that need a human rewrite ("it's not X, it's Y", fake suspense…

  • runsheet_list_templates

    Lists the starter run sheets (wedding, conference, photo shoot, blank) with their default times, so you can pick one or adapt it before creating a run sheet.

  • runsheet_create

    Creates a Runsheet: a live, shareable schedule for an event day (wedding, shoot, conference, any timed run of show). Start from a template or send your own items. Returns a view-only link for guests and vendors and a private edit link for…

  • halves_settle_up

    Given a group of people and the expenses (who paid, how much, who shared it), returns each person's net balance and the smallest set of payments that squares everyone up. Splits equally by default, or by exact amounts. Stateless: nothing…

  • halves_create_group

    Creates a Halves group and returns a link anyone can open (no sign-up) to add and fix expenses and see who owes whom. Optionally pre-loads expenses. Anyone who has the link can edit the group, so share it only with the people in it…

  • lingo_list_terms

    Lists the design vocabulary Lingo knows: 36 named looks in six groups (layout, type, color, shape, motion, style), each with a plain-English meaning and the exact wording and values to give an AI coding agent, plus the vague phrases Lingo…

  • lingo_translate

    Turns a vague design request ("make it pop", "it looks cheap", "too busy", "less AI-looking") into what designers usually mean by it and the specific design terms and values to use instead. Returns a ready-to-paste design brief and a link…

  • lingo_brief

    Builds a precise design brief (markdown) from Lingo term ids and/or vague phrases, ready to paste into an AI coding agent or a project rules file. Conflicting picks (for example sharp and soft corners) keep the last one. Includes optional…

How to connect

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

{
  "mcpServers": {
    "studio": {
      "type": "http",
      "url": "https://mcp.clawhard.com/mcp"
    }
  }
}

Add it

Claude Code, in a terminal

claude mcp add --transport http clawhard https://mcp.clawhard.com/mcp

Add to CursorAdd to VS Code

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