Explore our complete collection of MCP servers to connect AI to your favorite tools.
Eases LLM integration with Dremio through a Model Context Protocol server.
Enables interaction with BNB Chain and EVM-compatible networks through natural language processing and AI assistance.
Enables AI models to access and manipulate note data within the SiYuan Note system.
Integrates Feishu APIs to enable AI models to interact with Feishu services.
Provides programmatic control over iOS simulators through a Model Context Protocol (MCP) server.
Generate images using Google's Imagen 3.0 through the Model Control Protocol.
Simplifies the setup of Anthropic Claude Model Context Protocol (MCP) servers on Windows.
Empowers AI assistants to perform comprehensive and secure operations on MySQL databases, including CRUD, transaction management, and intelligent rollback.
Automates code merging and application of edits using the Osmosis-Apply-1.7B model within an MCP server environment.
Searches PubMed via the Model Context Protocol (MCP).
Provides a zero-burden Model Context Protocol (MCP) server for interacting with MySQL databases and automating tasks without requiring Node.js or Python.
Backports the Model Context Protocol SDK for compatibility with Java 8.
Validates and renders Mermaid diagrams, enabling LLMs to verify and visualize diagram syntax.
Provides structured knowledge and solves mathematical problems by acting as an MCP server for WolframAlpha's LLM API.
Provides a lightweight and secure Python code execution sandbox based on IPython and Docker, designed for AI agents.
Enables LLMs to 'see' browser-based games and applications through vectorized canvas visualization and debug information.
Connects AI assistants to your ShadowGit history, enabling sophisticated code analysis and debugging.
Enables AI assistants to generate interactive charts and visualizations from data using the Model Context Protocol.
Fetches the content of a remote URL as Markdown using Jina Reader.
Enables AI assistants to utilize human capabilities by routing requests to humans and relaying their responses.
Enables LLMs to effectively utilize new and internal APIs by providing real-time, contextual API documentation.
Manages memory banks, enabling AI assistants to store and retrieve information across sessions for maintaining context.
Integrates the Model Context Protocol (MCP) with ElizaOS, allowing agents to connect to multiple MCP servers and use their resources, prompts, and tools.
Automates Xcode builds and parses logs to provide clear build results for AI-powered development workflows.
Retrieves Rust crate documentation from docs.rs to provide LLMs with context for working with Rust code.
Captures user intentions and behavior patterns to provide analytics for server owners.
Provides video and audio editing capabilities through FFmpeg, enabling AI assistants to perform professional-grade media operations.
Gain comprehensive visibility into Apache Iceberg-based data lakehouses, displaying detailed metadata and structural information.
Integrates Model Context Protocol endpoint tools into a Langraph tool node for AI workflows.
Provides a Model Context Protocol (MCP) server that integrates with Stripe for secure payment processing, customer management, and refund handling.
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