"How to Read an Excel File" matching MCP servers:

Metis gives AI agents expert know-how that named reviewers have approved, and only where its recorded conditions match the situation. High-risk situations go to a person. When an agent sees practice depart from procedure, it can send the expert one short question. Every retrieval is recorded on a hash-linked evidence chain.

SOC2 Compliance AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables users to run DCF/NAV/CCA valuations, Fama-French 5-Factor cost of equity, KMV credit risk, derivatives pricing, and Excel/PDF/Word report review with IVS 2025, IFRS 13, and HKFRS 9 compliance.

Integrates the Metis FCA Handbook AI Harness into Claude Desktop to analyze FCA Handbook applicability for financial products, services, or firms, returning structured compliance reasoning with verbatim citations.

Official MCP server for the EU AI Act. Search and access Articles, Recitals, Annexes, timelines, obligations, prohibited practices, GPAI requirements, conformity assessments, and compliance information across all 24 official EU languages.

An MCP connector that lets AI agents search and read U.S. case law and statutes from Freecase, providing tools for full-text search and retrieval of legal documents.

An MCP server for the CourtMesh public API that enables AI clients to search and analyze Indian court case law, covering over 310 million case records from the Supreme Court, High Courts, District Courts, and tribunals.

Enables AI agents to query German federal and state statutes, court decisions, and citation graphs, grounding citations, retrieving provision texts and versions, and understanding coverage limits through read-only tools.

Deterministic SNAP eligibility logic, exposed as auditable Model Context Protocol tools. An AI agent can read, reason, and orchestrate, but the eligibility determination itself is made by versioned, tested, cited code that a caseworker, an auditor, or a court can inspect.

Verifies blockchain-anchored timestamp proofs entirely on the user's machine, with five tools: hash a file, verify a file against a proof, verify a known hash against inline proof data, explain what a proof asserts, and create a new proof through ProofLedger. Verification recomputes the SHA-256 and walks the Merkle path locally instead of asking the issuer; only create uses the network.

Helps independent inventors calculate USPTO fees, determine entity status, track patent deadlines, and understand procedural rules without needing an attorney.

Enables MCP clients to search Colombian energy and gas resolutions and legal opinions, read them in chunks or by internal search, and explore each rule's regulatory graph with validity computed from the texts themselves.

Enables AI agents to validate Mexican RFC, CURP, CLABE and NSS identifiers with real check digits, parse CFDI 4.0 invoices with labelled SAT catalogue codes and verified totals, and query the SAT's public status service to see whether an invoice is still valid. It also generates coherent test people and companies, all read-only and without API keys, certificates or PAC contracts.

An MCP server that validates Japanese corporate numbers and invoice registration numbers, and normalizes/matches company names across notation variants.

Read and check European e-invoices (Factur-X, ZUGFeRD, XRechnung, UBL, CII) from an AI assistant: contents in plain text plus an EN 16931 consistency check.

Enables MCP clients to search New Zealand legislation, browse point-in-time versions of Acts, Bills, and secondary legislation, and read the text of sections or schedules via the official legislation.govt.nz developer API.

EU AI Act · APRA · NIST AI RMF · ISO 42001 · AU AI Safety — grounded compliance citations for any MCP client.

AI Bill of Materials compliance tracking and SBOM generation for AI/ML systems

MCP server that exposes the OBBBA No Tax on Tips federal deduction logic as callable tools, enabling users to check eligibility and estimate tip deductions.

Enables AI agents to permanently remove personally identifiable information from PDF documents, returning redacted files with the sensitive text deleted rather than merely covered. Supports scanned documents, multiple languages, entity types, and optional human review.