Discover and integrate MCP servers tagged with modelcontextprotocol
15 modelcontextprotocol MCP Servers Available
Collection of Google-native tools (e.g., Gmail, Calendar) for the MCP
MCP Server Semgrep is a [Model Context Protocol](https://modelcontextprotocol.io) compliant server that integrates the powerful Semgrep static analysis tool with AI assistants like Anthropic Claude. It enables advanced code analysis, security vulnerability detection, and code quality improvements directly through a conversational interface.
A Model Context Protocol (MCP) server that enables AI assistants to generate images, text, and audio through the Pollinations APIs. Supports customizable parameters, image saving, and multiple model options.
Memento MCP: A Knowledge Graph Memory System for LLMs
Collection of apple-native tools for the model context protocol.
AWS MCP Servers — specialized MCP servers that bring AWS best practices directly to your development workflow
TweetBinder MCP Server is a server based on the Model Context Protocol (MCP) that allows Claude and other MCP-compatible clients to interact with your TweetBinder by Audiense account
This MCP server provides email sending functionality using Protonmail's SMTP service. It allows both Claude Desktop and Cline VSCode extension to send emails on your behalf using your Protonmail credentials.
PhonePi MCP enables seamless integration between desktop AI tools and your smartphone, providing 23+ direct actions including SMS messaging, phone calls, contact management, snippet creation and search, clipboard sharing, notifications, battery status checks, and remote device controls.
Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor.
MCP Server for IDA Pro.
An MCP server that autonomously evaluates web applications.
Control Neovim using Model Context Protocol (MCP) and the official neovim/node-client JavaScript library
MCP Salesforce connector
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
