RERealChar
Community
Create, customize, and engage in real-time conversations with AI characters across web, mobile, and terminal platforms.
Directory
MCP Server Directory
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
MCP Servers listings
MI
MCP Index
CommunityMaintains an ever-growing list of open source MCP servers.
AG
AgentRPC
CommunityConnect functions across different languages and network boundaries to AI agents.
JM
Jean Memory
CommunityProvides a secure, unified memory layer that enables AI applications to retain context and preferences across multiple platforms.
HE
Heimdall
CommunityProvides AI coding assistants with persistent, cognitive memory of specific codebases, enabling long-term learning and recall across sessions.
TM
Titan Memory
CommunityEmpowers LLMs to maintain memory state across interactions using a neural memory system that learns and predicts sequences.
CU
Cursor10x
CommunityEnhances AI assistants with persistent conversation context, project history, and code relationships across sessions.
RC
Roo Code Memory Bank
CommunityEnables AI assistants to maintain project context across sessions using a file-based memory bank.
CM
Cline Memory Bank
CommunityMaintains project context across development sessions for AI-assisted coding with the Cline VSCode extension.
TA
Talkito
CommunityEnables developers to interact with AI systems through speech across multiple channels, functioning as both a command-line tool and a Python library.
AM
AI Memory
CommunityProvides a production-ready Model Context Protocol (MCP) server for AI agents to store, retrieve, and manage semantic memory and contextual knowledge across sessions.
GM
God Mode
CommunityEmpowers an AI assistant with comprehensive cross-platform system control and a vast arsenal of tools for management, security, and automation.
AM
A-MEM
CommunityProvides an AI-powered memory system for Claude Code, maintaining persistent and evolving contextual understanding across coding sessions.
AH
Agent Hub
CommunityOrchestrates enterprise-grade AI agents to streamline developer and DevOps workflows across various toolchains.
AA
Agentic AI Projects
CommunityShowcases practical applications of AI agents across various domains and real-world scenarios.
BB
Big Brain
CommunityHosts a free Model Context Protocol (MCP) server for reading statistics from top protocols in the Mantle Network.
BM
BMAD
CommunityOrchestrates multi-agent workflows and intelligent task management for software development, integrating with OpenRouter and cross-IDE environments.
BU
Buckeye
CommunityQueries all public information across the osu.edu domain and its subdomains.
CC
CC
CommunityProvides intelligent context management tools to help MCP clients maintain consistency in long-running AI conversations, solving LLM memory loss and intent forgetting.
CM
Claude Memory
CommunityEnables Claude to maintain persistent long-term memory across conversations.
CL
Code Line Counter
CommunityTrack and analyze the scale of AI-generated code by counting lines of code, comments, and blank lines across various programming languages.
CC
Context Compose
CommunityDefine, compose, and manage granular contexts for large language models, ensuring consistent and high-quality results across AI-powered development tasks.
CC
Context Continue
CommunityManages context in AI development sessions to prevent loss of information due to token limits.
CE
Context Engineering
CommunityEmpower AI agents with comprehensive codebase understanding, eliminating context loss and optimizing token usage for complex software development.
What Are MCP Servers?
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 →
How MCP Servers Work
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.
Types of MCP Servers
- Code Completion Servers: Enhance AI coding assistants with context from your codebase, documentation, and project structure.
- API Integration Servers: Connect AI to REST APIs, GraphQL endpoints, and web services for real-time data access.
- File Management Servers: Enable AI to read, write, and organize files in your development environment.
- Data Analysis Servers: Connect AI to databases, data warehouses, and analytics tools.
Choosing the Right MCP Server
When selecting an MCP server, consider:
- IDE Compatibility: Ensure it works with Cursor, VS Code, or your preferred editor
- Use Case Match: Choose servers designed for your specific needs
- Maintenance Status: Prefer actively maintained servers with recent updates
- GitHub Activity: Higher stars and recent commits indicate quality
Popular Use Cases
- AI-Powered Code Completion Enhance Cursor and Claude with project-specific context.
- Automated API Testing Connect AI to your APIs for intelligent testing and debugging.
- Database Querying Let AI write and execute SQL queries against your databases.
For detailed setup guides, see our Complete MCP Server Setup Guide →
Frequently Asked Questions About MCP Servers
Everything you need to know about installing, using, and troubleshooting Model Context Protocol.
How do I install MCP servers in Cursor?
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.
What's the difference between MCP servers and VS Code extensions?
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.
Are these MCP servers free to use?
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.
Can I build my own MCP server?
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.
What is a Model Context Protocol (MCP) server?
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.
How do MCP servers work with Claude?
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.
What are the best MCP servers to start with?
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.
How do I install and configure MCP servers?
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.
Are MCP servers secure?
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.
What's the difference between MCP resources, tools, and prompts?
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.
Which AI clients support MCP besides Claude Desktop?
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.
How often is this MCP servers directory updated?
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.
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