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Generates responses based on the latest information using the Gemini API and Google Search.
Enables Solana RPC methods for querying blockchain data through natural language.
Enables interaction with EMQX MQTT brokers through the Model Context Protocol (MCP).
Coordinates and manages tasks across multiple Large Language Model (LLM) instances.
Enables language models to interact with WhatsApp functionality through the GreenAPI service.
Connects MCP-compatible clients to Onyx AI knowledge bases, enabling semantic search and chat capabilities.
Provides detailed type information from .NET projects to enhance AI coding agent capabilities.
Enables AI agents to discover, connect to, query, and understand PostgreSQL databases using the Model Context Protocol.
Declaratively builds Model Context Protocol (MCP) servers in Go, exposing tools, resources, and prompts.
Simplifies the interaction of AI agents with Move-based blockchains by providing a unified interface for blockchain operations.
Simplifies building Model Context Protocol (MCP) servers within NestJS applications using decorators.
Enables interaction with YDB databases from any Large Language Model (LLM) that supports the Model Context Protocol (MCP).
Provides component property and design token information via an MCP server.
Bridges Apache Kafka and Apache Pulsar protocols to enable AI agents to interact with streaming data.
Enables AI assistants to send and receive emails by providing IMAP and SMTP functionality through the Model Context Protocol.
Empowers AI assistants with a comprehensive suite of tools for streamlined Magic-API development, management, and debugging.
Connects AI to Commodore 64 Ultimate and Ultimate 64 via a REST API using the Model Context Protocol, enabling LLM agents to control the retro computer.
Enable AI agents to deterministically create, validate, and manage buildingSMART Information Delivery Specification (IDS) files with 100% compliance.
Streamlines API test generation and execution using a YAML declarative approach, optimized for AI coding assistants.
Enables AI assistants to interact with the Prismatic API for code-native integration and custom component development through a local Model Context Protocol server.
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