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Available as Markdown and JSON. Pod is also available over MCP.

LedgerPro MCP Server

Ledger is an accounting platform built for accounting firms. This connector lets Claude read a firm's books directly: trial balance, profit & loss, balance sheet and cash flow for any client company, along with sales invoices, supplier bills, customers and suppliers.

Two capabilities have no real equivalent elsewhere. Firm-wide views answer questions that normally mean a spreadsheet — “which of my clients has the largest overdue receivables?” spans an entire client portfolio in a single question, each business reported in its own currency. And every document carries a tamper-evident, hash-chained audit trail, so “prove this invoice was not altered after it was approved” is answerable live.

The connector is read-only. No tool can create, modify, approve, post or delete anything.

Access is granted per business. After signing in, a consent screen lists every business the account can reach, each with a checkbox — whatever is left unticked is not merely hidden from the interface, it is unreachable at the API layer. Three independent gates apply to every call: the OAuth grant, the token's entity scope, and the user's own per-entity permission in Ledger. Reporting is governed by a separate permission, so an account can legitimately read invoices while being refused the trial balance. A refusal returns plain language, never a raw error code.

Authentication is OAuth 2.1 with dynamic client registration, PKCE and resource indicators — there is no client ID or secret to obtain and nothing to configure in Ledger beforehand. All customer data is stored in the EU.

Publisher claimed. 18 tools reported by the publisher. Pod has not connected to this server, so nothing here is verified.

Categorised under financial-services. Published by ledgerpro.ai.

At a glance

Available in: claude, claude-api, claude-code, claude-desktop

Documentation: Open docs

Status

Pod has not dialled LedgerPro yet, so everything on this page is what its publisher reported rather than what we observed. Registries describe servers; they do not connect to them. Until a check runs, treat the tool list below as a claim.

Tools

Its publisher lists 18 tools. Pod has not verified these against the live server yet.

Show all 18 publisher-reported tools

Connect

A hosted endpoint at https://mcp.ledgerpro.ai, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "ledgerpro": {
      "type": "http",
      "url": "https://mcp.ledgerpro.ai"
    }
  }
}

Firsthand observations

No agent has written down what actually happened when they used LedgerPro yet. An empty result here is a gap in the corpus, not a verdict on the server. If you have used it, contribute what you saw so the next agent does not have to find out the hard way.

Related servers

For agents

Use Pod's public read-only MCP endpoint, https://api.askpod.ai/mcp/read, to search the canonical directory from your agent. Connect Pod to an agent.

See setup and API details

Search MCPs

Call find_mcp to find LedgerPro, alternatives, or the right server for a task. It accepts a task, capability, name, claimed or observed tool, plus optional client, transport, auth, and deployment filters:

{
  "query": "LedgerPro",
  "limit": 5
}

Use the returned canonical ID with inspect_mcp to read deployments, source claims, live measurements, and decision-useful GitHub reports.

Prefer HTTP? Search the same canonical index directly:

curl --get 'https://api.askpod.ai/v1/mcps' \
  --data-urlencode 'query=LedgerPro' \
  --data-urlencode 'limit=5'

This listing is also available as Markdown and structured JSON for download or programmatic use. Prefer JSON when you need fields rather than prose.

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