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 production-style MCP server exposing six business tools (web search, database, CRM, email, calendar, analytics) to AI clients via a secure, authenticated interface, with mock mode and a reference agent client.
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.
Exposes 104 Odoo tools across CRM, Sales, Inventory, Accounting, and Helpdesk, enabling natural-language control of an Odoo instance via a Telegram assistant with user-level authentication and multi-step orchestration.
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 assistants to securely triage SuperOffice CRM support cases by retrieving tickets, running database diagnostics, searching knowledge bases, and orchestrating cross-system incident investigations.
Live LinkedIn data for AI agents: 44 tools for profiles, companies, jobs, posts, people search, job-change signals and email finding. Hosted remote server (streamable HTTP) - your agent never touches your own LinkedIn account. 300 free credits on signup, no card. Dockerfile in repo bridges stdio clients to the hosted endpoint via mcp-remote.
Enables AI agents to perform CRM operations like creating contacts, managing deals, and updating leads through natural language using the Model Context Protocol.
A Laravel-based AI-powered chat interface for business management operations, enabling users to execute tasks like creating customers and updating task statuses through natural language conversations.
Node.js + TypeScript server that runs Synapse AI agent graphs with Salesforce integration, performing all AI inference and MCP tool execution to keep Apex within governor limits.
Enables users to interact with a Salesforce org through a web AI assistant powered by a configurable AI provider, supporting read-only queries and gated write operations with audit logging.
Enables AI assistants to identify and quantify value leaks in organizations using Melt's methodology, providing structured estimates instead of generic vendor lists.
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.
Gives AI agents governed, read-only access to product marketing intelligence such as positioning, messaging, win/loss, and competitive briefs, plus persona-based draft reviews.