Financial reporting for AI agents through MCP

These are requests an AI agent can complete through the server. Each answer names the publication it came from and the definition behind each figure.

• “Compare this fiscal year's Income Statement with the prior fiscal year and show the largest changes in operating expenses.”
• “Show the Balance Sheet as of the latest month-end and the account balances behind the cash line.”
• “Retrieve the Cash Flow Statement and break down capital expenditures by month.”
• “Show the definition and the publication evidence behind these financial metrics.”

Income Statement and Cash Flow Statement reports cover a fiscal year, with an optional comparison to another fiscal year. The Balance Sheet reports a month-end, with an optional comparison to another month-end. A question about a single month or quarter is answered from the General Ledger through a query. How far a figure can be traced depends on the report, the level of detail, and the permissions of the connection.

Give a controller the reach of a seasoned group controller. An AI agent working from your published books can answer the questions that usually take years across the business to answer: how each entity treats a transaction, where treatments differ, and what changed since the last period. Experience still has to be earned. The visibility no longer does.

Investigate issues before month-end

Support a continuous-close approach with financial review throughout the month. Ask an agent to investigate changes in revenue, expenses, or balances using published financial data and the supporting detail available to your connection. After your team corrects the source records, refresh, validate, and publish the updated data, then review the effect on the reported results.

An expert accountant or group controller on call, working from your own books

Ask how a transaction should be treated and get two answers side by side: what accounting guidance says, and how your books have handled the same situation before. An agent searches years of ledger history in seconds, finds similar entries, and spots the ones that were booked differently. Analysis that used to mean exports and an afternoon of filtering becomes a question and an answer, with the ledger lines attached. The guidance comes from your AI assistant and the evidence comes from your books. You make the accounting decision, and your team posts it in the ERP.

Compare entities on a consistent reporting basis

Bring NetSuite and QuickBooks Online financial data into a shared reporting structure. Review one Legal Entity or all authorized entities using approved mappings and a consistent currency and accounting-book basis. Investigate differences between companies with the source references retained, reducing the need to rebuild that context from separate exports. Dedicated, correctly tagged intercompany accounts can be excluded to analyze external revenue, costs, and debt.

Delegate financial analysis with defined access

Give an agent access to the entities, datasets, and financial detail its work requires. PipeLedger calculates the reported values and enforces the connection's permissions on every request. Your team can delegate investigation while retaining control over access and accounting decisions.

PipeLedger supports financial review and reporting. Close-task management, ERP journal posting, payment initiation, elimination journals, and complex statutory consolidation adjustments remain outside its tool boundary.

The server serves financial datasets prepared from your ERP, including General Ledger Lines, Trial Balance, Chart of Accounts, Cash Flow Components, and project datasets, and unit data your team maintains in the Unit Register. Financial datasets describes what each one contains and the reports built from them. A connection sees only the datasets it has been granted.

Add the remote MCP endpoint to Claude, ChatGPT, Claude Code, or another host that supports remote MCP servers with OAuth. OAuth is the preferred connection path, so a PipeLedger bearer does not need to be copied into the host or placed in chat.

Endpoint

https://mcp.pipeledger.ai/mcp

Transport

Streamable HTTP

Authentication

OAuth 2.1 authorization code with PKCE

Follow the public OAuth connection guide for the authorization flow and troubleshooting steps.

The host sees only tools permitted by the connection's active policy. PipeLedger checks that policy again when each tool runs; tool discovery alone never grants access.

• Financial results come only from approved, published delivery surfaces. Raw, staging, intermediate, and unpublished data are not available through MCP.
• Mart access, dimension scope, row filters, GL account confidentiality, identity privacy, limits, and clearance are enforced before results leave PipeLedger.
• Masked labels, stable privacy tokens, aggregation, or omitted transaction detail are expected outcomes when the connection has restricted access.
• Deterministic finance logic produces the authoritative values. An AI host can interpret those values but cannot change them.

Viewer connections can resolve governed business objects, inspect schemas, query permitted marts, produce financial statements and Metrics Reports, drill into signed report evidence, review data quality and audit evidence, reconcile usage, and inspect the Finance Catalog.

The Report Library is a bounded personal-workspace capability. It can save, revise, or archive an owner-scoped Metrics Report and can propose or withdraw an internal sharing request. A proposal does not publish into the organization library. Operator tools are not part of the standard viewer connection.

Responses include structured content plus an equivalent text form for host compatibility. Errors are sanitized and do not expose database details, credentials, or financial records outside the authorized result.

For pre-subscription questions or sign-in trouble, email support@pipeledger.ai. PipeLedger targets an initial response within one business day.

Subscribers can use the secure in-app Communication Hub for live support when available or tracked tickets at any time. Do not send passwords, access tokens, authenticator or recovery codes, or financial records by email. See the public support page for both contact paths.