← zerowidth.ai

INDIVIDUAL MCP TOOL

get_doc

Fetch the full Markdown body of a specific docs page by its slug.

zerowidth.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://api.zerowidth.ai/mcp/x/caliper

No auth detected

Connect to this endpoint to inspect the live schema for get_doc and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • A tool name or description suggests retrieving external content.

Parent server

zerowidth.ai

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.zerowidth-mcp]
url = "https://api.zerowidth.ai/mcp/x/caliper"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "zerowidth-mcp": {
      "type": "http",
      "url": "https://api.zerowidth.ai/mcp/x/caliper"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: zerowidth-mcp
Remote MCP URL: https://api.zerowidth.ai/mcp/x/caliper

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "zerowidth-mcp": {
      "url": "https://api.zerowidth.ai/mcp/x/caliper"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "zerowidth-mcp": {
      "type": "http",
      "url": "https://api.zerowidth.ai/mcp/x/caliper"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "zerowidth-mcp",
  "transport": "streamable-http",
  "url": "https://api.zerowidth.ai/mcp/x/caliper"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • search_docs — Search ZeroWidth product documentation.
  • list_docs — Enumerate all available docs pages, optionally filtered by product (e.
  • caliper_datasets_get — One dataset with a page of its items — read this BEFORE editing items (caliper_datasets_update_item needs the item id) and before extending coverage, so you don't add cases that already exist.
  • caliper_datasets_update — Changes a dataset's title, description, or visibility.
  • caliper_datasets_delete — Deletes a dataset.
  • caliper_datasets_update_item — Rewrites one item's content, keeping its id (ratings and eval results keyed to it stay attached).
  • caliper_datasets_remove_item — Drops one item.
  • caliper_datasets_generate — Creates a NEW dataset of model-written items — Q&A by default, or scripted sequences / simulated people via `shape` — pass flowId and the generator reads the flow's prompt, mode, and schema to write realistic cases for THAT flow; `description` adds guidance (or stands alone when there's no flow).