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    MCP server for Microsoft Dynamics 365 Business Central that enables AI assistants to query and manage Business Central data via full CRUD operations.
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    24 npm
    MIT
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    Model Context Protocol (MCP) server for Microsoft Dynamics 365 Business Central. Provides AI assistants with direct access to Business Central data through properly formatted API v2.0 calls.
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    Enables AI assistants to read and modify Microsoft Dynamics 365 Business Central data through the API v2.0, supporting CRUD operations on resources like customers, contacts, and sales orders with Azure CLI or client credentials authentication.
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    24 npm
    MIT
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    MCP server for Microsoft Dynamics 365 Business Central, enabling AI assistants to perform CRUD operations, query data, and retrieve schemas via Business Central API v2.0.
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    24 npm
    MIT
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    MCP server for Microsoft Dynamics 365 Business Central that enables AI assistants to access and manage Business Central data via API v2.0, with full CRUD operations and support for Azure CLI or client credentials authentication.
    24 npm
    MIT
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    Enables Claude Desktop to interact with enterprise REST APIs such as Jira, Zoho CRM, Salesforce, SharePoint, Procore, HxGN EAM, and Primavera P6 using OpenAPI/Swagger definitions, with support for various authentication workflows.
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    9 npm
    MIT
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    Provides tools for AI assistants to interact with a WooCommerce store, enabling fetching recent orders with optional filtering and retrieving detailed information about specific orders by ID.
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    Enables interaction with Microsoft Dataverse and Dynamics 365 data through natural language, including CRUD operations, metadata exploration, and saved views.
    MIT
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    A Model Context Protocol server that enables CRUD operations and querying on Microsoft Dataverse through natural language.
    7 npm
    MIT
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    MCP server to query Microsoft Dynamics 365 CRM records and support workflows using streamable HTTP transport.
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    Connects Claude to Microsoft Dataverse for everyday record operations like listing, creating, updating, and deleting records, with interactive authentication and caching.
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    Enables Claude Desktop to query ServiceTitan data about technician jobs and business performance via natural language, while protecting customer personal information.
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    Enables querying client onboarding status and basic client info (name, family) via two tools, designed for integration with Microsoft Copilot and Teams.
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    Enables Microsoft 365 Copilot to interact with Salesforce through REST APIs, supporting queries, object descriptions, pipeline summaries, and anomaly detection.
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    Enables natural-language queries about sales metrics, returning interactive charts inline in chat via MCP Apps with a markdown fallback for unsupported hosts.
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    LinkedIn prospect intelligence inside Claude. It automates the research behind outreach, not the sending: scrapes posts, profiles and comment threads into a local SQLite database, classifies what a person or company actually posts about, mines comment threads for people already describing your problem, and surfaces uncommon commonalities worth opening with.
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    Read-only MCP server for Gingr pet-care facility data, enabling queries about owners, animals, reservations, appointments, services, and staff via natural language.
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    10 npm
    MIT
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    Model Context Protocol server for the Apideck Unified API. Connect any MCP-compatible agent framework to 100+ accounting systems, HRIS platforms, file storage providers, and more through one integration. More information https://www.apideck.com/mcp-server
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    412 npm
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    MIT
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    Enables direct interaction with Microsoft Dataverse from Claude Desktop, supporting full CRUD, bulk operations, FetchXML queries, actions, and metadata discovery.
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    Connects AI agents to the Ploomes CRM REST API, exposing 56 tools for managing contacts, deals, tasks, pipelines, interactions, quotes, orders, products, fields, users, and account information.
    56
    9 npm
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    Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida
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    Enables an AI agent to act as first-line customer support on top of Microsoft Dynamics 365 / Dataverse, reading incoming synced emails, looking up contacts and published knowledge articles, and drafting HTML-safe replies or escalating to a human as a Case. Runs draft-only by default with safeguards against prompt injection, duplicate replies, and unsafe recipients.
    8
    MIT
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    A read-only MCP server for the Little Green Light donor CRM. It lets Claude answer questions about donor data, gifts, and fundraising metrics by querying LGL directly.
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    Enables AI assistants to search and retrieve B2B leads and company data from the LeadBrew database, including contact details and company information.
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    A minimal MCP server that gives AI coding agents clean read and write access to Microsoft Dataverse environments via the Dataverse Web API v9.2. It works as a drop-in alternative to Microsoft's own MCP server, without requiring Copilot Credits or managed environments.
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    Provides AI assistants access to YOUREPT CRM admin data, including leads, students, teachers, lessons, payments, payouts, and financial reports, enabling natural-language queries about business metrics.
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    The Derrick MCP server provides AI assistants with access to Derrick's B2B enrichment capabilities. It allows retrieval of company and contact information, lead enrichment, prospecting automation, and workflow execution directly through the Model Context Protocol (MCP).
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    11 npm
    MIT
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    Provides tools to search for people using registered business cards and the public Eight network. Enables LLMs to query person information while keeping private data secure.
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    Enables Claude to answer plain-English questions about a GTM engineer agent's own work — client ICPs, run history and costs, buying-signal alerts, lists, and ranked prospect fit scores — by reading the research files that agent writes, with every answer citing its source file. It also exposes one guarded action tool that starts a new prospect research run only after a cost preview, an explicit confirmation, and daily run/spend cap checks.
    9
    MIT