IDIBM DB2 by CData
Community
Enables querying of live IBM DB2 data within Large Language Models (LLMs) like Claude Desktop using a read-only Model Context Protocol (MCP) server.
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
IC
Ice Cream Topping Recommender
CommunityDemonstrates building interactive Model Context Protocol (MCP) tools with elicitation capabilities.
IC
Iceberg Catalog
CommunityEnables interaction with Apache Iceberg catalogs from Claude, facilitating data lake discovery and metadata search through natural language prompts.
IC
Iconfont
CommunityFacilitates the downloading of icon fonts from the iconfont platform.
ID
Idb
CommunityIntegrates Facebook's iOS Development Bridge (idb) with the Model Context Protocol (MCP) for automated iOS device management and testing.
ID
Ideogram
CommunityGenerates images from text prompts using the Ideogram API.
ID
IETF Document Server
CommunityProvides access to IETF RFC documents for Large Language Models via the Model Context Protocol.
IT
IG Trading
CommunityIntegrates with IG Trading API to enable AI-powered trading and market analysis through a Model Context Protocol (MCP) server.
IG
Ignition
CommunityProvides AI assistants with seamless integration to the Ignition SCADA/MES platform for automation, monitoring, and management.
IL
Illumio
CommunityProvides a Model Context Protocol (MCP) server to interact with Illumio PCE for workload management, label operations, and traffic flow analysis.
IL
Illustrator
CommunityEnables text, image, and path manipulation and information retrieval within Adobe Illustrator on macOS.
IL
Ilograph
CommunityEmpower AI agents with comprehensive access to Ilograph documentation, validation tools, and diagram creation guidance.
ID
Image Description
CommunityEnables AI assistants to analyze images using xAI's Grok vision API, supporting web URLs and local files with integrated OCR capabilities.
IF
Image Fusion Processor
CommunityAccepts local face and ID images for fusion via a ComfyUI server, saving the merged results locally.
IG
Image Generation Cloudflare
CommunityFacilitates image generation using Cloudflare.
IP
Image Placeholder
CommunityGenerates placeholder images from various providers using an MCP server.
IP
Image Process
CommunityProvides image manipulation functionalities through an MCP server, leveraging the Sharp library.
IP
Image Processing
CommunityProvides image processing capabilities via the Model Context Protocol (MCP), enabling tasks like resizing, compressing, and format conversion.
IR
Image Reader
CommunityEnables listing and reading image files from a local directory, designed for integration with LLM agents.
IT
Image Tools
CommunityRetrieves image dimensions and compresses images from both URLs and local files.
IM
Imagerecog
CommunityRecognizes images using a server-client architecture based on the Model Context Protocol (MCP).
IM
IMAP
CommunityExposes IMAP operations as tools for AI assistants, enabling automated email draft creation and integration.
IM
Imdb
CommunityExposes IMDB data through a Model Context Protocol server.
IM
iMessage
CommunityEnables interaction with iMessage on macOS via an MCP server.
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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