🔌Tools (MCP)

The Tools (MCP) node in THub enables seamless integration of external tools and services into your AI workflows via the Model Context Protocol (MCP). This functionality allows AI agents to dynamically access and utilize a wide range of capabilities, enhancing their performance and adaptability.

1)Brave Search MCP

This node integrates the Brave Search API, enabling your AI agent to perform real-time web searches and retrieve up-to-date information from the internet.

2)Custom MCP

Allows you to connect to any custom MCP server, facilitating integration with bespoke tools or services tailored to your specific needs. This provides flexibility in extending your agent's functionalities beyond predefined integrations.

3)GitHub MCP

Connects your AI agent to GitHub, enabling interactions such as retrieving repository information, managing issues, or analyzing codebases. This is particularly useful for development-related workflows.

4)PostgreSQL MCP

Integrates with a PostgreSQL database using the pgvector extension, allowing your agent to perform operations like upserting embedded data and executing similarity searches. This is beneficial for applications requiring structured data storage and retrieval.

5)Sequential Thinking MCP

Implements a structured approach to problem-solving by breaking down complex tasks into manageable steps. This node enhances your agent's reasoning capabilities, making it suitable for scenarios that require step-by-step analysis.

6)Slack

Integrates your AI agent with Slack, allowing it to send and receive messages within Slack channels. This facilitates real-time communication and automation within team collaboration environments