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.
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
A connector that surfaces ~50 tools from 10+ integrated business systems (CRM, finance, support) via MCP, enabling an AI assistant to securely query and operate on correlated office data.
Enables Claude to interact with Jira, Salesforce, and n8n through MCP tools, allowing automated reading of Jira stories, deploying Salesforce metadata, and triggering n8n workflows.
Enables AI agents to perform CRM operations like creating contacts, managing deals, and updating leads through natural language using the Model Context Protocol.
A Model Context Protocol server for Salesforce that enables managing contacts, leads, opportunities, accounts, and cases, along with SOQL queries and direct links.
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.
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.
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.
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