"OnePageCRM - A Simple Action-Focused CRM Software" matching MCP servers:

Enables converting software development requirements into traceable estimates, WBS breakdowns, PERT calculations, risk registers, roadmaps, quotations, and professional PDF proposals or action plans. It supports reviewing assumptions, exclusions, scope gaps, and commercial documentation before sending deliverables to clients.

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.

One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose

Connects your LCApps CRM with AI assistants like Claude, enabling querying and creation of CRM data such as clients, invoices, and expenses. Optionally allows saving PDF documents locally when used as a package.

Enables AI coding agents to read, search, triage, and fix website and asset feedback from Simple Commenter, including commenting, replying, exporting, and project management via MCP.

MCP server for Atomic CRM that enables agents to read and write CRM data via SQL queries, with OAuth authentication and Row Level Security enforced.

Turns any API into a curated MCP server from a single config file, enabling interaction with APIs through MCP clients like Claude Desktop.

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.

Enables AI assistants like Claude to read and write contacts, relationships, and interactions in a personal CRM via a graph-based API.

Provides basic tools for echoing messages, adding numbers, and getting the current timestamp.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Enables users to manage contacts, deals, follow-ups, activities, pipeline summaries, and outreach drafts stored in a local JSON file, with every write requiring an explicit preview and confirmation before it is applied. It operates without network access and never sends messages.

This MCP server enables AI assistants to perform calculations, fetch live weather, manage in-memory notes, access system info and note resources, and use reusable code review and summarization prompts.

A small Python MCP server for querying PostgreSQL and MySQL databases with read-only safety, featuring schema inspection, table description, and query execution tools.

A minimal MCP server implementation demonstrating basic tool integration with example functions like greetings, version info, and system information. Supports both HTTP and stdio transports for connecting AI clients.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

MCP server providing 29 A-share analysis skills including real-time data, capital flow, limit-up tracking, technical/fundamental analysis, backtesting, risk control, and Xueqiu portfolio tracking, enabling AI agents to execute market research and strategy tasks.

MCP server that helps AI assistants generate accurate code and guidance for Dynamsoft SDKs.

Provides math tools (add, subtract, multiply), API fetching (JSONPlaceholder), and usage monitoring via a web dashboard with SQLite logging.

A self-contained, dependency-free MCP server that provides utility tools for time, date, mathematical calculations, and shell command execution. It supports remote connectivity through SSE and is designed for easy deployment via Docker.