ODOracle DB Context
Community
Enables AI assistants to understand and interact with large Oracle databases by providing targeted, contextual schema information.
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
OS
OSV
CommunityQueries the OSV database for vulnerability information using a lightweight Model Context Protocol (MCP) server.
PA
Paprika
CommunityConnects Claude to custom SQL databases for real-time query and interaction, acting as a Model Context Protocol (MCP) desktop extension.
PP
Perplexity Pro
CommunityIntegrates with the Perplexity API to offer intelligent model selection, stateful conversation management, and project-aware storage via an MCP server.
PG
PgSQL
CommunityEnables interaction with PostgreSQL databases via Model Context Protocol (MCP) calls.
PP
Piwik PRO
CommunityProvides a Model Context Protocol (MCP) server to enable AI clients to manage Piwik PRO Analytics, Customer Data Platform, and Tag Manager resources.
PL
PlainSignal
CommunityRetrieves analytics reports and metrics via the Model Context Protocol (MCP).
PL
Planfix
CommunityIntegrates Planfix business process management with the Model Context Protocol (MCP), enabling AI assistants to manage tasks, projects, contacts, and retrieve analytics.
PL
Plausible
CommunityEnables AI models to query analytics data from the Plausible Analytics API.
PO
Podbean
CommunityConnects AI assistants to the Podbean API for managing podcasts, episodes, and analytics through natural conversation.
PA
Portkey Admin
CommunityManages AI configurations, workspaces, and analytics for the Portkey AI platform.
PM
Postgres Multi-Schema
CommunityEnables read-only access to PostgreSQL databases with enhanced multi-schema support for Model Context Protocol.
PP
Postgres Pro Plus
CommunityProvides advanced management, performance tuning, and health monitoring capabilities for PostgreSQL databases.
PR
Postgres Remote
CommunityEnables remote access to PostgreSQL databases via the Model Context Protocol (MCP) using Cloudflare Workers.
PA
Postgresql Agent Hack
PostgresqlEnables interaction with Claude 3.5 Sonnet using a PostgreSQL database and the Model Context Protocol.
PM
Presupuesto MySQL
PresupuestoManages and queries departmental budget information using a MySQL database.
PM
Price Monitor
CommunityMonitors product prices from Gmarket, comparing them to a database baseline and sending Slack alerts upon price drops.
PR
ProAlpha
CommunityExposes a read-only interface to ProAlpha MSSQL databases via a Model-Context-Protocol (MCP) server, automatically capturing schemas.
PB
Prompt Book
CommunityOrganizes and accesses AI prompts stored in Notion databases.
PR
Prompts
CommunityManages and provides prompt templates for large language models, supporting file-based storage, real-time caching, and structured metadata.
PR
Proxmox
CommunityExposes rich Proxmox utilities for managing virtual machines, containers, storage, and networking within a Proxmox environment.
PU
PubChem
CommunityEnables querying of the PubChem database for chemical compound data and generating structure files.
Automates the retrieval, analysis, and storage of GitHub pull request data using the GitHub API, MongoDB, and the FastMCP framework.
PU
Pure
CommunityRetrieves real-time information from Pure Storage FlashBlade arrays.
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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