Arcanna MCP Server

Name: Arcanna MCP Server
Author: siscale

@siscale

代码仓库

关于 Arcanna MCP Server

暂无概览

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

siscale

配置

暂无标准配置

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代码仓库

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概览

What is Arcanna MCP Server?

Arcanna MCP Server allows users to interact with Arcanna's AI use cases through the Model Context Protocol (MCP). It is designed for users who need to manage Arcanna resources, jobs, events, and feedback programmatically via MCP-compatible clients like Claude Desktop.

How to use Arcanna MCP Server?

Configure the server by adding the arcanna-mcp-server entry to the mcpServers section in your MCP client config file (e.g., claude_desktop_config.json for Claude Desktop). You can run it via Docker (image: arcanna/arcanna-mcp-server) or install the PyPI package (arcanna-mcp-server). Set the environment variables ARCANNA_MANAGEMENT_API_KEY and ARCANNA_HOST with your Arcana credentials.

Key features of Arcanna MCP Server

Resource Management: Create, update, and retrieve Arcanna resources (jobs, integrations)
Python Coding: Generate, execute, and save code as an Arcanna integration
Query Arcanna events: Retrieve events processed by Arcanna with multiple filters
Job Management: Create, retrieve, start, stop, and train jobs
Feedback System: Provide feedback on decisions to improve model accuracy
Health Monitoring: Check server and API key status

Use cases of Arcanna MCP Server

Querying processed Arcanna events with custom filters
Managing Arcanna jobs (start, stop, train) programmatically
Providing feedback on AI decisions to refine model accuracy
Generating and saving Python code as integrations in Arcanna pipelines
Checking system health and API key validity

FAQ from Arcanna MCP Server

What is the Arcanna MCP Server?

It is an MCP server that enables interaction with Arcanna’s AI use cases, including resource, job, event, and feedback management.

How do I configure the Arcanna MCP Server?

Add the arcanna-mcp-server entry to your MCP client’s config file (e.g., claude_desktop_config.json) with Docker or PyPi, and set the required environment variables.

What environment variables are required?

The server requires ARCANNA_MANAGEMENT_API_KEY (your Management API key) and ARCANNA_HOST (your Arcanna host URL).

How can I run the Arcanna MCP Server?

You can run it via Docker using the image arcanna/arcanna-mcp-server or install it as a PyPI package (arcanna-mcp-server). Both methods require the environment variables above.