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    Enables AI agents to build and structurally validate Indian GST e-invoice JSON payloads (INV/CRN/DBN) and render IRP-returned signed QR strings as PNG images.
    1
    Apache 2.0
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    Enables AI agents to act as an individual user, within that user's live roles and firm policy, across LitKit document review, LitLex case-law research, and LitSpace matter files. Supports read operations such as searching and reading documents, opinions, citations, statutes, and files, plus immediate write actions like tagging documents, saving notes, posting to threads, and uploading files.
    Apache 2.0
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    Legacy eCFR MCP listing for reading CFR text, FAR, DFARS, and agency supplements. Maintenance transferred to AcqAgent: https://github.com/acqagent/mcps. This listing's build and 13-tool evaluation cover eCFR only, not the other servers in the 1102tools monorepo.
    13
    25
    MIT
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    Provides verification and utility APIs for AI agents to validate tax IDs, screen sanctions, verify companies, and inspect domains using prepaid USD credits, with no charge for failed checks.
    13
    34 npm
    MIT
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    Lets AI assistants read, search, edit, annotate, sign, redact and OCR PDF files entirely on the local machine, with no uploads and non-destructive writes to new files. It also merges, splits and reorganises pages, fills forms, compares versions to detect tampering, and converts documents between PDF, Word, Excel, images and text, including turning bank statements into spreadsheet rows.
    22
    AGPL 3.0
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    Provides 75 tools for the Kinetic Gain Protocol Suite, including validation, inspection, and attestation for 12 specs such as AEO, Prompt Provenance, Agent Cards, and DefenseTech modules. Enables agents to interact with these protocols directly in MCP-compatible clients.
    2
    75
    361 npm
    AGPL 3.0
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    Enables AI assistants to search and read consolidated legislation from multiple countries, retrieve exact law texts as of any historical date with citations and git commit SHAs, and create webhook or email subscriptions to track legal changes.
    2
    MIT
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    Enables deterministic question-answering over a curated knowledge base of AWS Agent Toolkit governance, returning cited least-privilege IAM policies, MCP catalogue entries, and data-residency guidance without calling an LLM.
    MIT
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    Enables TPP validation through tools for certificate validation, chain auditing, and entity searching via the TPP Validation API.
    3
    Apache 2.0
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    Enables AI assistants to perform Japanese invoice and tax calculations, including consumption tax, withholding tax, invoice number validation, and invoice data generation, all locally without external APIs.
    MIT
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    Torify gives AI agents the Japanese locale primitives that standard libraries lack — imperial era date conversion (wareki), qualified invoice number validation with NTA registry lookup, corporate number lookup (法人番号), postal code resolution, name romanization (Hepburn), and kanji-to-kana conversion via Yahoo! JLP. 31 endpoints total. No authentication required for MCP. Pay-per-call $0.02/call via
    MIT
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    OpenLawMCP is an open-source legal AI research tool built to make AI-assisted legal research more reliable. A major problem with using AI for legal research is that it can give confident answers without showing whether the answer is grounded in real legal sources. For legal work, that creates a credibility problem. Users need answers that can be checked against actual legal material.
    10 npm
    5
    Apache 2.0
  • F
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    MCP server for German e-invoicing with tools to generate and validate XRechnung CII XML locally, supporting German VAT rates and § 19 UStG.
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    AgentBureau provides the legal and physical infrastructure for AI agents to operate within the German jurisdiction. We bridge the gap between digital intelligence and real-world action by providing "Embodiment-as-a-Service." Through our API, agents can perform legally binding actions—like sending faxes, mailing physical letters, issuing invoices, forming entire companies (GmbH/UG), ...
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    Enables agents to fuzzy-screen person and company names against the OFAC SDN/Consolidated, EU, UK and UN sanctions lists downloaded fresh from official sources, returning potential-match statuses, 0–100 scores and listing details via a billed screening tool, plus a free local tool that lists covered sources, score scale and disclaimer.
    3
    MIT