Xircuits MCP Component Library
@XpressAI
About Xircuits MCP Component Library
A Xircuits component library for defining MCP servers.
Basic information
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTools
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Overview
What is Xircuits MCP Component Library?
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.
How to use Xircuits MCP Component Library?
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.
Key features of Xircuits MCP Component Library
- Server setup components: MCPCreateServer, MCPRunServer
- Start nodes for defining tools, resources, and prompts
- Result setting components for tool, resource, and prompt executions
- Utility components for arguments, progress, images, and messages
- Lifecycle management with on-start and on-shutdown nodes
Use cases of Xircuits MCP Component Library
- Build an MCP server that exposes a calculator tool to LLM applications
- Define resources that provide data through URI patterns
- Create reusable prompt templates for consistent LLM interactions
- Implement server startup and shutdown logic for resource initialization
- Develop custom MCP servers entirely within a visual programming environment
FAQ from Xircuits MCP Component Library
What is the Model Context Protocol (MCP)?
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).
What are the prerequisites for using this library?
You need Python 3.8 or higher, Xircuits, and the MCP Python SDK.
How do I install the Xircuits MCP Component Library?
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.
What components are included in the library?
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.
What license is the library under?
The library is licensed under the Apache License 2.0.
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