Explore our complete collection of MCP servers to connect AI to your favorite tools.
Connects to Jira Cloud to search and retrieve issue details for use with Model Context Protocol (MCP).
Enables search functionality through the Tavily API within an MCP server environment.
Enables AI assistants to query LLM metrics within Langfuse workspaces.
Empowers LLMs with Bitcoin Lightning Network payment capabilities via the ZBD API.
Enables AI agents to manage feature flags within the Unleash feature flag management system programmatically.
Enables LLM applications to interact with a Dgraph database using the Model Context Protocol (MCP).
Connects large language models (LLMs) and tools through an OpenAI-compatible API.
Provides a standardized interface for integrating MobSF's security analysis capabilities into automated workflows.
Manages calendar events with artificial intelligence capabilities.
Integrates a Model Context Protocol (MCP) server to inject dad jokes into your development workflow, perfect for lightening the mood during code reviews, team meetings, or quick laugh breaks.
Provides team analytics and insights from the Cursor Admin API to AI assistants via the Model Context Protocol.
Converts Google Sheets into a conversational database, enabling SQL-powered insights through AI assistants.
Provides intelligent context management tools to help MCP clients maintain consistency in long-running AI conversations, solving LLM memory loss and intent forgetting.
Enables AI tools to access and analyze business data by integrating with Coupler.io data flows.
Converts Claude-style skills into callable tools, enabling seamless integration for non-Claude MCP clients.
Exposes AWS S3 operations through a secure Model Context Protocol (MCP) interface for AI agents and clients.
Leverages AI to analyze wallet behavior, predict fraudulent activities, and detect potential rug pulls in Web3 environments.
Transforms natural-language security requirements into production-ready Cerbos YAML policies for AI agent and application governance.
Integrates Qwen's powerful code analysis and large context capabilities with CLI agentic LLMs via the Model Context Protocol.
Manages persistent terminal sessions, allowing commands to run continuously even after client disconnection, ideal for AI assistants and long-running tasks.
Captures, queries, and analyzes architectural decisions, implementation patterns, and failures over time using a temporal knowledge graph system integrated with Claude Code/Desktop.
Transforms single-attempt code generation into a multi-attempt, test-validated refinement loop, leveraging LLMs for robust software development.
Establishes a high-performance FastMCP and HTTP server for programmatically accessing TradingView market data, technical indicators, news, and community insights.
Optimizes large language model context window usage for tool execution by aggregating multiple servers.
Integrates advanced Discord management and automation capabilities into MCP clients, offering extensive server control and moderation tools.
Provides AI agents with a persistent, reinforcement-learning-powered memory system for continuous improvement.
Provides privacy-first document intelligence for Claude, performing on-device OCR, PDF extraction, barcode reading, image classification, and face detection using Apple Vision.
Enables AI agents to verify Unity game implementations by simulating player interactions like tapping, dragging, and flicking in the Game View.
Empowers Large Language Models to work autonomously, learn, and self-organize through a comprehensive text-based operating system.
Provides comprehensive IMAP email management and robust SMTP sending capabilities through a standardized Model Context Protocol (MCP) interface.
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