"A server for automatically scanning and loading database table structures into AI agent context" matching MCP servers:

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 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.

Enables AI agents to pull focused GoHighLevel context before talking to a contact, including contact lookup, timeline summaries, pipeline positions, and appointments, with optional guarded writes. It helps agents brief themselves on a person without exposing raw CRM API noise.

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

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

Enables users to combine CRM identity records, operational policy and ticket data, policy documents, call transcripts, and case notes, then reconcile them and identify tickets that require human escalation.

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.

Provides interactive tools to explore AFAS customer data and employee leave information, including bubble charts, leave balance reports, and detailed leave cards.

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.

Enables AI agents to perform CRM operations like creating contacts, managing deals, and updating leads through natural language using the Model Context Protocol.

Enables AI clients to securely access and query Zoho CRM data using natural-language prompts, returning structured results for analysis and reporting. It supports sales pipeline tracking, lead analysis, team performance reporting, and other CRM use cases through self-hosted deployment.

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.

Enables AI assistants to manage Bitrix24 CRM entities, tasks, project kanban boards, and Scrum sprints through an incoming webhook, requiring explicit user confirmation for all write operations.