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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.
Manages leads and campaigns within the Instantly.ai platform via their API.
Provides code context from local git repositories via semantic search.
Enables standardized interaction with OpenMetadata through the Model Context Protocol.
Dynamically creates new tools for use with MCP clients based on natural language descriptions.
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 interaction with MCP servers using a CLI leveraging DSPy.
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.
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.
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.
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