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Log decisions with expectations, add evidence, and track metrics in Ledger.
ZeroWidth Ledger is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 97/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding ZeroWidth Ledger to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
mcp add ai.zerowidth/ledger https://api.zerowidth.ai/mcp/x/ledgerReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-07T14:20:39.860587Z",
"publishedAt": "2026-10-07T14:20:39.860587Z",
"statusChangedAt": "2026-10-07T14:20:39.860587Z"
}
},
"server": {
"name": "ai.zerowidth/ledger",
"icons": [
{
"src": "https://zerowidth.ai/mcp/icons/ledger.png",
"sizes": [
"512x512"
],
"mimeType": "image/png"
}
],
"title": "ZeroWidth Ledger",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://api.zerowidth.ai/mcp/x/ledger",
"type": "streamable-http",
"headers": [
{
"name": "Authorization",
"isSecret": true,
"description": "Bearer token: a workspace API key or personal access token from accounts.zerowidth.ai"
}
]
}
],
"version": "1.0.0",
"websiteUrl": "https://zerowidth.ai/docs/overview/mcp#connect-to-one-product",
"description": "Log decisions with expectations, add evidence, and track metrics in Ledger."
}
}