INDIVIDUAL MCP TOOL

ledger_feeds_create

Freeze a tool call as a metric's standing source: it runs on the cadence you give and records what it finds, with no model involved.

zerowidth.ainone authenticationAvailability not checked

LIVE ENDPOINT

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

No auth detected

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

{}

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

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

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/ledger"
enabled = true

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

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

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/ledger"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "zerowidth-mcp": {
      "type": "http",
      "url": "https://api.zerowidth.ai/mcp/x/ledger"
    }
  }
}

Generic MCP

Client-specific MCP configuration

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

MCP Inspector

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

search_docs — Search ZeroWidth product documentation.
get_doc — Fetch the full Markdown body of a specific docs page by its slug.
list_docs — Enumerate all available docs pages, optionally filtered by product (e.
ledger_entries_list — The workspace's memory: decisions (changes with pre-registered expectations), lessons (distilled beliefs), and observations (captured facts).
ledger_entries_get — One entry's full anatomy — the six fields, attached evidence (Caliper runs, measurements, observations), and the supersede chain (what replaced it, or what it replaced).
ledger_entries_create — Records a memory entry.
ledger_entries_settle — The ritual moment: evidence has landed, the expectation closes, the lesson is written.
ledger_metrics_list — The numbers the workspace watches — each with unit, latest reading, and how many open decisions are bound to it.