← aiagentscity.com

INDIVIDUAL MCP TOOL

ledger_examples

Complete, runnable Python recipe for a common AgentLedger integration pattern.

aiagentscity.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://aiagentscity.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for ledger_examples 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

aiagentscity.com

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.agent-ledger]
url = "https://aiagentscity.com/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "agent-ledger": {
      "type": "http",
      "url": "https://aiagentscity.com/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: agent-ledger
Remote MCP URL: https://aiagentscity.com/mcp

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": {
    "agent-ledger": {
      "url": "https://aiagentscity.com/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "agent-ledger": {
      "type": "http",
      "url": "https://aiagentscity.com/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "agent-ledger",
  "transport": "streamable-http",
  "url": "https://aiagentscity.com/mcp"
}
MCP Inspector

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

Related tools

  • ledger_rotate_secret — Mint a NEW agent_secret for an agent_id your workspace already owns, invalidating the old one.
  • ledger_revoke_secret — Invalidate an agent_id's agent_secret WITHOUT deleting its spend history.
  • ledger_track — Record a spend entry for an AI agent on any payment rail, with optional token counts.
  • ledger_set_budget — Set spending caps for an agent.
  • ledger_report — Spend report for an agent over a rolling window.
  • ledger_alerts — Alert history for an agent: budget warnings (80% threshold) and spending spikes.
  • ledger_list_agents — Owner-only: full cross-tenant listing of every agent ever claimed on this instance, with totals.
  • ledger_start — Get a FREE AgentLedger workspace with no credential and no arguments — the MCP equivalent of opening POST /start in a browser.