"Using an AI Agent for Structured Search and Traversal in a Neo4j Database" matching MCP servers:

Enables LLMs to search and retrieve Autotask tickets, companies, and contacts using advanced semantic search and AI-powered reranking.

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.

Provides MCP tools that let an agent retrieve customer account, product usage, interaction, and support summaries, and create follow-up tasks after user approval.

Enables MCP clients to list customer accounts, retrieve event timelines, get next-action recommendations, and push tasks to a CRM.

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.

MCP server for qualifying and responding to inbound leads in seconds using a multi-agent AI pipeline.

Enables AI clients to securely interact with Salesforce data using natural language, translating prompts into structured queries for analysis, reporting, and business insights.

Enables AI agents to manage CRM data including companies, contacts, prospects, pipelines, forecasts, and tasks via typed MCP tools, with local SQLite storage and a JSON CLI.

An MCP server that lets AI agents search contacts, manage the call queue, log activities, and update deal stages in a CRM while preventing destructive actions and email sending.

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.

An MCP-native CRM backend for AI agents, enabling customer, opportunity, note, follow-up, and pipeline health management through 15 MCP tools.

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

Free, open-source MCP server that connects Claude to the Shopify Partner API. 25 tools for revenue analytics, churn analysis, retention cohorts, merchant health scoring, conversion funnels, revenue forecasting, and growth velocity.

Enables any MCP client to run natural-language queries and actions against CRM and ticket systems, with schema-validated tools, audit logging, and server-side write gating.

MCP server enabling AI assistants to connect to Kula recruiting API for managing jobs, candidates, applications, webhooks, and more.

Enables foreign trade sales workflows by orchestrating market scanning, product selection, customer profiling, credit checks, outreach drafting, and quotation calculations with source-traceable, three-category conclusions.

Enables MCP-compatible AI clients to securely search and retrieve Bullhorn jobs, candidates, and placements, manage candidate files and resumes, and run generic entity searches/queries without exposing credentials.

Enables creating and deploying Agentforce agents to Salesforce by gathering requirements and generating agent metadata.

Enables AI agents to search companies, enrich contacts, and reveal emails via Fiber AI's data and tools directly from the editor.