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    An open-source MCP server that wraps the Shopline Open API into 143 AI-callable tools for e-commerce data analysis, enabling AI agents to query orders, products, inventory, customer behavior, and promotions from Shopline stores through natural language.
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    19
    MIT
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    MCP server enabling AI assistants to connect to Kula recruiting API for managing jobs, candidates, applications, webhooks, and more.
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    MIT
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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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    A Model Context Protocol server for Salesforce that enables managing contacts, leads, opportunities, accounts, and cases, along with SOQL queries and direct links.
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    Modern quote to cash powered by AI
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    263
    MIT
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    An MCP server that provides the complete operations brain of an industrial-services company, enabling agents to manage quoting, booking, invoicing, safety, and finances end-to-end.
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    MIT
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    Provides AI agents with operational customer context, including typed revenue objects, persistent state, scoped tools, and human-in-the-loop handoffs through MCP, REST, and CLI.
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    Apache 2.0
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    Enables access to live company and contact data from Explorium's AgentSource platform for business intelligence and enrichment within Claude Desktop.
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    MIT
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    MCP server for the Rentalot API. Manage rental properties, contacts, showings, conversations, and more from any AI assistant.
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    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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    MIT
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    BackEngine is a multi-tenant SaaS platform that ingests all of an organization's customer and prospect communications — Slack threads, emails, call and meeting transcripts, and support tickets — and distills them into structured, queryable context. Raw conversations are processed into signals (categorized, attributed moments), sources (the underlying transcripts, emails, and tickets), and rolling
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