Explore our complete collection of MCP servers to connect AI to your favorite tools.
Systematically explore solution spaces by recursively partitioning problems into mutually exclusive and collectively exhaustive subsets.
Connects Peliqan accounts to external services and data sources by exposing custom Peliqan MCP methods as API endpoints.
Connects Claude and other Model Context Protocol (MCP) clients to your Granola meeting notes, providing instant access and summaries.
Generates text differences between two strings in Unified diff format.
Plays macOS system notification sounds when Cursor/Windsurf completes code generation or requires user approval.
Provides a lightweight server for handling weather data using the Model Context Protocol (MCP).
Enables AI agents to send various WhatsApp message types via ADA's Conversational AI Platform.
Establishes a foundational connection between GoHighLevel accounts and AI systems through the Model Context Protocol, offering comprehensive API access for automation.
Extracts and analyzes code coverage data from test reports for AI assistants.
Manages and enhances contextual information through intelligent pre-processing strategies and configurable models.
Provides a Model Context Protocol (MCP) server for interacting with and managing Kubernetes clusters.
Provides AI agents with real-time access to comprehensive information on Korean listed companies, including financial statements, public disclosures, and executive details.
Generates unified diffs between two text strings.
Provides an unofficial server implementation for the Model Context Protocol (MCP) to interact with ModelScope services.
Enables interaction with MotherDuck and local DuckDB databases using the Model Context Protocol.
Provides a Model Context Protocol (MCP) server for containerized deployment with HTTP transport, offering simple, dependency-free tools and prompts.
Enables AI agents and LLM applications to send rich notifications to Discord and Slack using webhooks.
Provides a comprehensive suite of development tools integrated as a server via the Model Context Protocol.
Extends the capabilities of AI assistants by enabling them to perform additional functions and access external resources through Model Context Protocols.
Facilitates the creation of mock data for MCP server development and testing.
Provides code examples for the Hugging Face Machine Coder Program course, demonstrating tool integration and sentiment analysis.
Integrates Joplin note management with AI assistants via a Model Context Protocol server, enabling programmatic control over notes, notebooks, and tags.
Integrates Jenkins functionalities with an MCP server.
Facilitates the creation of Model Context Protocol (MCP) servers using the mcp-framework.
Provides a comprehensive system for training and inferring singing voice models, complete with development and testing environments.
Automates trade surveillance support workflows by integrating with existing SQL configurations and Java code repositories using a Model Context Protocol (MCP) server.
Enables secure, traceable access to SQL Server databases for development teams directly from their IDEs using natural language commands.
Provides a simple server for managing and monitoring stopwatches.
Enables large language models to directly access and analyze data from Amazon for e-commerce businesses.
Integrates AI assistants with Statsig's feature flagging and experimentation platform for comprehensive feature management.
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