INDIVIDUAL MCP TOOL
ledger_entries_draft
Writes up to 50 entries as DRAFTS: proposals that stay out of the record until a person confirms each one in Ledger's Drafts view.
LIVE ENDPOINT
https://api.zerowidth.ai/mcp/x/ledger
Connect to this endpoint to inspect the live schema for ledger_entries_draft and invoke it with your own arguments.
Indexed input schema
{}Risk classification
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.
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.