@XpressAI
Basic information
A Xircuits component library for defining MCP servers.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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The Xircuits MCP Component Library is a collection of visual programming components for building Model Context Protocol (MCP) servers using the Xircuits interface. It provides nodes to create, configure, and run MCP servers, enabling developers to expose data and functionality to LLM applications in a standardized way.
Install the library via xircuits install https://github.com/xpressai/xai-mcp or manually clone the repository and run pip install -r requirements.txt. In a Xircuits workflow, drag components onto the canvas to define server capabilities such as tools, resources, and prompts, then connect them to implement logic and run the server.
MCP is a standard for building servers that expose data and functionality to LLM applications, similar to a web API but designed for LLM interactions. It supports Resources (data loading), Tools (code execution), and Prompts (interaction templates).
You need Python 3.8 or higher, Xircuits, and the MCP Python SDK.
Run `xircuits install https://github.com/xpressai/xai-mcp` in your Xircuits environment, or manually clone the repository and install the dependencies with `pip install -r requirements.txt`.
The library includes server setup components (MCPCreateServer, MCPRunServer), start nodes for defining tools, resources, prompts, and lifecycle events, result setting components, and utility components for arguments, images, progress, and messages.
The library is licensed under the Apache License 2.0.
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