Salaah
Calculates Islamic prayer times and Qiblah direction using the islamic_times library within a FastAPI framework.
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
Calculates Islamic prayer times and Qiblah direction using the islamic_times library within a FastAPI framework.
Manages salary slip services for AI agents based on the MCP protocol, enabling secure and convenient integration for various intelligent applications.
Enables a Model Context Protocol (MCP) client to interact with Saleor e-commerce data including products, orders, and customers.
Enables querying live Salesforce Data Cloud data from Large Language Models (LLMs) like Claude Desktop via a Model Context Protocol (MCP) interface.
Connects AI assistants with Salesforce using secure OAuth authentication to simplify integration.
Connects Salesforce Pardot data to Claude Desktop using CData JDBC Drivers.
Manages and controls Eufy RoboVac smart vacuum cleaners, providing an interface for interaction.
Enables holistic project management in Claude by providing a Model Context Protocol (MCP) server for the Linear API.
Extends AI assistant capabilities with example Model Context Protocol (MCP) servers written in Rust.
Provides a sample server and debugging environment within VSCode.
Manages model context protocol interactions through a plugin-based architecture, secure vault integration, and real-time web dashboard.
Enables large language models to execute code using a Machine Code Protocol server.
Converts TL-Verilog files into SystemVerilog/Verilog by wrapping Redwood EDA’s SandPiper-SaaS compile function.
Enables interaction with Santa using Large Language Models (LLMs) via the Model Context Protocol (MCP).
Facilitates interaction with SAP systems by executing Remote Function Calls (RFCs) via a RESTful API.
Enables querying live SAP Business One data from Claude Desktop using CData JDBC Drivers via a read-only MCP interface.
Enables querying SAP HANA data from Claude Desktop using CData JDBC Drivers.
Enables Large Language Models (LLMs) to connect to and query live SAP HANA XS Advanced data through a Model Context Protocol (MCP) interface.
Enables Large Language Models to query live SAP Hybris C4C data using natural language.
Connects large language models to SAP Netweaver Gateway data through a Model Context Protocol server, enabling natural language querying.
Connects SAP SuccessFactors data to LLMs like Claude Desktop via a read-only Model Context Protocol (MCP) server.
Enables connection to SAP Sybase data from Claude Desktop using CData JDBC Drivers via a read-only MCP Server.
Generates effective 'Satori Syntax' for social media posts, offering five distinct patterns to create compelling messages within 140 characters.
Enables text-to-speech capabilities for applications using the MCP protocol.
MCP (Model Context Protocol) servers are tools that connect AI assistants like Claude, Cursor, and other AI coding tools to external data sources, APIs, and services. They enable AI models to access real-time information, execute code, interact with databases, and perform actions beyond their base capabilities. Check out our curated collection of the best MCP servers for Cursor →
MCP servers act as intermediaries between AI assistants and external systems. When you ask Claude or Cursor to perform a task requiring external data, the MCP server handles the request, fetches the data, and returns it in a format the AI can understand and use.
When selecting an MCP server, consider:
For detailed setup guides, see our Complete MCP Server Setup Guide →
Everything you need to know about installing, using, and troubleshooting Model Context Protocol.
To install MCP servers in Cursor: 1) Open Cursor settings (Cmd+,), 2) Navigate to MCP Servers section, 3) Click 'Add Server', 4) Enter server configuration (name and command), 5) Restart Cursor. Check out our curated collection of the best MCP servers for Cursor with detailed setup guides.
MCP servers are protocol-level integrations that work across multiple AI assistants (Claude, Cursor, etc.), while VS Code extensions are editor-specific. MCP servers provide context to AI models, whereas extensions add IDE functionality. MCP is more portable and AI-focused.
Most MCP servers listed are open-source and free. Some enterprise connectors (like Salesforce or Jira) may require paid API access to the underlying service, but the MCP server code itself is usually free.
Yes! The Model Context Protocol is open standard. You can build servers in Python or TypeScript/Node.js to expose your own internal APIs or databases to Claude and Cursor.
An MCP server is a lightweight program that exposes specific capabilities (data access, tool execution, prompts) to AI assistants through a standardized protocol. MCP servers allow Claude and other AI models to securely interact with external systems like databases, APIs, file systems, and web services while maintaining security boundaries.
MCP servers connect to Claude Desktop or other MCP-compatible clients through a standardized JSON-RPC protocol. When you configure an MCP server in Claude Desktop, Claude can access its resources (data/content), use its tools (functions to execute), and leverage its prompts (templated interactions). The protocol ensures secure, controlled access to external capabilities.
Essential MCP servers for beginners include: Filesystem (local file access), SQLite/PostgreSQL (database queries), GitHub (repository access), Brave Search (web search), and Memory (persistent context). These cover common use cases and have excellent documentation. Start with 2-3 servers and expand based on your needs.
Most MCP servers install via npm (npx) or Python (uvx/pip). Configure them in Claude Desktop's config file (claude_desktop_config.json) by specifying the command, arguments, and any required environment variables like API keys. Our directory links to each server's documentation with specific installation instructions.
MCP servers run locally on your machine with explicit permissions you configure. They can only access resources you authorize, and Claude cannot bypass these boundaries. However, always review server code, use official/verified servers when possible, limit permissions to what's necessary, and be cautious with servers that request broad access.
Resources are data sources Claude can read (files, database results, API responses). Tools are functions Claude can execute (run queries, send messages, create files). Prompts are pre-defined templates for common interactions. Most MCP servers expose one or more of these capability types.
MCP is supported by Claude Desktop (official), Cursor IDE, Continue (VS Code extension), and various community implementations. The protocol is open, so support is expanding to more AI development tools. Check our compatibility filters to find servers tested with your preferred client.
Our MCP servers directory is updated weekly with new servers, documentation improvements, and compatibility updates. We monitor GitHub releases, community contributions, and Anthropic announcements to ensure our listings reflect the latest MCP ecosystem developments.