INDIVIDUAL MCP TOOL
ledger_metrics_create
Create a metric — a number the workspace watches (triage time, weekly signups, cost per run).
LIVE ENDPOINT
https://api.zerowidth.ai/mcp/x/ledger
Connect to this endpoint to inspect the live schema for ledger_metrics_create and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Potential side effects detected · medium confidence · heuristic, not a guarantee.
- A tool name or description contains a write-action term.
Parent server
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/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.
Related tools
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.