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    What is PandaDoc MCP? PandaDoc MCP (Model Context Protocol) server connects AI agents directly to PandaDoc's document workflow — creating, sending, and tracking contracts and agreements without leaving your AI client. How to use PandaDoc MCP? To use PandaDoc MCP, connect your PandaDoc account, provide the required API credentials, and configure the appropriate MCP client.
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    MIT
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    Enables AI models to search and retrieve legal documents, magazine issues, comments, and related references from the Linde database (linda.lindeverlag.at) using the Model Context Protocol.
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    attendance-engine-mcp is a Model Context Protocol server that gives AI agents deterministic, fixture-backed tools for workforce attendance and wage-and-hour compliance. Built on @attendance-engine/core — a pure-function, zero-deps, 100%-covered TypeScript engine — it lets Claude, Cursor, Windsurf, or any MCP host correctly answer the questions HR/payroll teams actually ask: did this person clock i
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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.
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    Enables querying EU legal documents, case law, and citation graphs through natural language using the LexAPI.
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    Enables renters to cross-examine their rent ledger against their lease using deterministic tools, uncovering discrepancies in charges, fees, and rent amounts.
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    MIT
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    InvoiceXML brings e-invoice compliance to your AI agent. Create, validate, convert, render, and extract structured invoices across UBL (Peppol BIS Billing 3.0, used worldwide), CII, Factur-X, ZUGFeRD, and XRechnung, all checked against the EN 16931 standard and official Schematron rules. Ask your assistant to generate a compliant invoice, validate one for errors, or convert between formats, with n
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    MIT
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    MCP server for querying Glory trust products and corporate secretarial services. It enables users to search and retrieve detailed information about family trusts, employee trusts, and offshore company services across multiple jurisdictions.
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    MIT
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    Enables interaction with the Blawx API to discover project ontologies, ask questions using fact scenarios, and retrieve detailed, step-by-step explanations of logic-based answers. It allows agents to browse project content and drill down into model attributes and constraint satisfaction for rule-based reasoning.
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    Exposes a check_ad_copy tool over stdio for LLM assistants to lint Korean cosmetics and health-food marketing copy for prohibited claims.
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    MIT