edi-mcp
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- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to parse, validate, summarize, and convert X12 EDI documents (such as 850 purchase orders and 810 invoices) into structured JSON through callable MCP tools.-

SignalEDI MCP Serverofficial
AlicenseAqualityAmaintenanceEnables AI assistants to parse, validate, send, and inspect X12 EDI documents via the SignalEDI Core API, with optional QuickBooks integration and a demo mode for keyless local testing.754 npmMIT- AlicenseCqualityDmaintenanceProvides deterministic data parsing and enrichment for AI agents, including bank statements, trade history, EDI, PDFs to structured markdown, and atomic enrichment for amounts, dates, and addresses, with strict schema enforcement to prevent hallucinations.3733 npm2ISC
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to parse and analyze PDF invoices, including text, field, and table extraction, OCR for scanned documents, ZUGFeRD support, compliance validation, and batch processing via MCP.-
- AlicenseAqualityDmaintenanceValidates EU electronic invoices (Peppol, XRechnung, FatturaPA, etc.) and explains validation error codes, enabling AI coding agents to check invoice validity and get fixes before rejection.320 npmMIT

rechnungsapi-mcpofficial
AlicenseAqualityBmaintenanceEnables AI assistants and agents to create, validate, read and convert German and EU e-invoices in ZUGFeRD, XRechnung and Factur-X formats, including extracting structured data from scanned or PDF invoices and embedding XML into PDF/A-3 files. It can run as a hosted remote server or locally, with each request authenticated by the caller's own API token.1016 npmMIT
TDQS
Scored across 4 tools
Each tool has a distinct purpose: parse converts raw EDI to structured JSON, validate checks structural integrity, summarize produces a business summary, and generate_997_ack creates an acknowledgment. There is no overlap.
All tool names follow a consistent verb_noun pattern in snake_case (parse_edi, validate_edi, summarize_edi, generate_997_ack), making them predictable and easy to navigate.
With 4 tools covering parsing, validation, summarization, and acknowledgment generation, the count is appropriate for a focused EDI utility. It could be expanded slightly for more advanced operations, but it's well-scoped.
The set covers key operations (read, validate, summarize, respond) but lacks tools for editing, converting, or batch processing EDI documents. This leaves notable gaps for complex workflows.