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.
A Model Context Protocol (MCP) server that connects LLMs to the Zendesk Support & Help Center APIs — with per-user OAuth 2.1 PKCE authentication and fine-grained tool visibility controls.
An MCP server that bridges AI agents to the eyeot ERP, exposing ~600 business actions (CRM, sales, stock, HR, finance, etc.) as MCP tools over stdio via OAuth 2.1 authentication.
Enables AI clients to discover and invoke Salesforce business capabilities (e.g., customer lookup, account creation) through MCP tools, keeping business logic in Apex while exposing it via REST, Agentforce, and OpenAPI.
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.
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.
Enables AI agents to perform CRM operations like creating contacts, managing deals, and updating leads through natural language using the Model Context Protocol.
Remote MCP server that connects Nexus Leads AI to MCP-compatible clients, enabling read-only operations on leads, tasks, proposals, and more, plus controlled test scenarios, secured via GitHub OAuth.