"Using a CRM System for Work" matching MCP servers:

Servidor MCP para integração com o Clint CRM. Gerencie contatos, negócios, tags, organizações e toda a configuração do seu CRM diretamente através de assistentes de IA compatíveis com MCP.

Enables AI agents to create, validate, and export UML system models using structured MSON format. Supports generating PlantUML and Mermaid diagrams with direct export to System Designer macOS application.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

A production-ready MCP server for Method CRM API integration. It enables LLMs to interact with Method CRM data through tools for tables, files, users, events, and API key management.

Enables interaction with Twenty CRM through a Model Context Protocol server. Provides comprehensive CRM operations including managing people, companies, opportunities, notes, tasks, and custom objects with support for filtering, pagination, and AI-powered automations.

Unifies CRM and productivity tool APIs behind a single interface, letting AI agents and developers create, update, delete, and list records across Zoho, HubSpot, Odoo, Google Sheets, Gmail, and Google Calendar without handling platform-specific schemas.

Enables authorized integration with Reynolds FOCUS CRM to manage daily work plans, tasks, customer records, notes, SMS/email actions, follow-ups, appointments, and call outcomes.

Enables AI-driven job application automation for LinkedIn and SEEK platforms with intelligent cover letter generation, automated application submission, and application tracking management. Supports anti-detection measures and complies with platform usage policies for safe job hunting automation.

Enables LLM agents to search deals, summarize pipeline metrics, find duplicate leads, and create leads using real Zoho CRM field names through plain-language tool calls.

Lets MCP clients discover and run AppleScript or JavaScript for Automation (JXA) to control macOS applications, inspect the system, or reuse scripts from a bundled knowledge base.

Submit and inspect governed business-system actions through a BailingHub control plane, with tools for submitting, retrieving, and waiting on governed jobs.

Enables AI apps to work with Google Sheets in plain language: finding spreadsheets, reading and writing ranges, managing sheets, formatting, validation, protected ranges, tables, charts, and access control, with deliberate writes and destructive operations clearly marked.

Enables AI assistants to search, read, draft, and send Gmail messages, as well as manage labels and trash using natural language.

Provides a Model Context Protocol server for executing AppleScript and JavaScript for Automation scripts on macOS, featuring a knowledge base of pre-defined scripts and supporting automation of macOS applications and system functions.

Enables AI assistants to manage Google Contacts through natural language, including searching, reading, creating, updating, and deleting contacts, organizing labels and groups, running batch operations, and converting auto-saved Other contacts into regular ones.

An MCP server for the Google Forms API that enables creating and editing forms, publishing them, reading responses, and setting up push notifications from AI clients using natural language.

Enables management of Kylas CRM lead operations, including creating leads, searching and filtering records, and resolving user, product, or pipeline IDs. It provides specialized tools for monitoring idle leads and accessing lead schema instructions through natural language.

Lets AI apps read and edit Google Docs in plain language, including reading as text or Markdown, making precise range-based edits, styling, working with comments, and exporting to PDF, DOCX, and other formats.

A minimal MCP server for posting tweets to X (Twitter) via API v2, supporting tweet creation, replies, and quote tweets.

An MCP server that exposes a perpetual, honest job-application pipeline as typed tools an LLM agent can call, with fit scoring, verified resume building, and a submission planner enforced by code, not prompts.