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Arcanna MCP Server

@siscale

代码仓库

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siscale

关于 Arcanna MCP Server

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Arcanna MCP Server 配置

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该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Arcanna MCP Server 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

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

常见问题

1

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.

2

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.

3

What environment variables are required?

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

4

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.

5

What features does the Arcanna MCP Server offer?

It provides tools for resource management, Python coding, querying Arcanna events, job management, feedback system, and health monitoring.

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