We tested the major MCP servers and document extraction tools to find the best options for processing accounting documents in AI coding assistants.
Lido MCP is the best MCP server for accounting document processing because it extracts structured data from any document layout without templates or training. One-command install, 50 free pages, and works with Claude, Cursor, and Windsurf.
Here's how the top MCP servers and document extraction tools compare for accounting document processing:
| Tool | MCP Support | Templates Required | OCR | Structured Output | Free Tier |
|---|---|---|---|---|---|
| Lido MCP | Native | None | Built-in | Rows & columns | 50 pages |
| MarkItDown | Via wrapper | None | Limited | Markdown only | Open source |
| Docling | Via wrapper | None | Built-in | JSON / Markdown | Open source |
| LandingAI | Native | None | Built-in | Markdown | Limited |
| Koncile | Native | None | Built-in | Accounting format | Trial |
| Claude PDF (built-in) | N/A | None | Limited | Unstructured text | Included |
| Unstructured.io | Via wrapper | None | Built-in | Elements / JSON | Limited |
Lido's MCP server connects directly to Claude, Cursor, and Windsurf with a single npm command. Unlike conversion tools that output markdown or raw text, Lido returns structured rows and columns — the fields, line items, and tables extracted from your accounting documents and organized into data you can use immediately.
The extraction engine reads document layouts without templates. Point it at an invoice and it finds the vendor, amounts, and line items. Point it at a bank statement and it finds the transactions. No training, no zones, no rules to configure.
Strengths: Template-free structured extraction, native MCP support, OCR built in, SOC 2 + HIPAA certified, 50 free pages.
Limitations: Requires Lido account for production use, cloud-based processing (no on-prem option).
Microsoft's open-source tool converts documents into markdown. It handles PDFs, Word docs, PowerPoint, and Excel files. The output is readable text rather than structured data, which means you still need to parse it to extract specific fields.
There's no native MCP server, but community wrappers exist. Good for general document reading; less effective for pulling structured data from accounting documents.
Strengths: Open source, supports many file formats, good markdown output.
Limitations: No structured data output, limited OCR, requires wrapper for MCP, tables often lose structure in conversion.
IBM's Docling is an open-source document conversion library that supports PDF, DOCX, PPTX, and other formats. It extracts text, tables, and images with a focus on preserving document structure.
Docling runs locally, which is useful for sensitive documents. The tradeoff is that you need to set up Python dependencies and a wrapper to use it via MCP.
Strengths: Open source, runs locally, good table detection, multiple output formats.
Limitations: Requires Python setup, no native MCP server, heavier resource requirements, output needs additional parsing for structured extraction.
LandingAI offers an MCP server focused on document understanding with vision models. It's particularly good at understanding complex page layouts and extracting content from visually rich documents.
Strengths: Native MCP support, good at complex layouts, agentic extraction capabilities.
Limitations: Outputs markdown (not structured rows/columns), limited free tier, cloud-only.
Koncile focuses specifically on accounting documents — invoices, receipts, and financial statements. Their MCP server is purpose-built for accounting workflows and outputs data in formats that integrate with bookkeeping tools.
Strengths: Accounting-focused, good at financial documents, purpose-built output format.
Limitations: Narrow document scope, limited to accounting use cases, less flexibility for general extraction.
The right tool depends on what you need the extracted data for:
Use Lido MCP if you need structured rows and columns from accounting documents — fields extracted and organized into data you can pipe into code, databases, or spreadsheets. Lido handles any document layout without templates.
Use MarkItDown or Docling if you just need to read document contents as text. These tools convert documents to markdown, which your AI can then reason about. Good enough when you don't need structured field extraction.
Use Koncile if you're working exclusively with accounting documents and need output formatted for bookkeeping workflows.
Use Claude's built-in PDF reading for one-off questions about a document's content. No setup required, but the output is unstructured text rather than extracted fields.
For a deeper dive into MCP server options, see our full comparison of MCP servers for document processing. To learn how to build automated extraction workflows, read how to automate document processing with AI agents.
Best MCP servers for invoice processing · Best MCP servers for bank statement extraction · Best MCP servers for receipt OCR · Best MCP servers for tax document OCR
Lido MCP is the best option for structured accounting document processing. It extracts data from any document layout without templates, returns organized rows and columns, and installs with a single command. 50 free pages included.
Not with Lido. Most traditional extraction tools require templates or training sets for each document layout. Lido reads the visual structure of each document individually, so it works on new layouts from day one.
Yes. MCP is designed for composability. You can install Lido for document extraction alongside other MCP servers for different capabilities — file management, database access, API connections — and your AI assistant uses whichever tool fits each task.
Claude's built-in PDF reading gives you unstructured text — the AI reads the document and answers questions about it. Lido MCP gives you structured data — fields, line items, and tables extracted into organized rows and columns. The structured approach is better when you need to process the data programmatically.
Lido achieves 95-99% accuracy on digital documents and 90-98% on scanned documents. The extraction includes confidence scores for each field, so you can flag low-confidence results for human review in production workflows.
Lido offers 50 free pages with no credit card required. Paid plans start at $29/month for 100 pages. Enterprise plans with higher volumes and dedicated support start at $7,000/year.
One command. 50 free pages. No credit card, no templates, no configuration.
claude mcp add lido -- npx -y @lido-app/mcp-server