Workflow module for ai_xone_mcp
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"ai-xone-mcp-workflow","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# ai-xone-mcp-workflow 本模块是 AI Xone MCP 的工作流服务实现，基于 [fastmcp](https://pypi.org/project/fastmcp/) 框架，提供了调度大模型按指定工作流执行任务的能力。 ## 主要功能 - 工作流的定义、执行、调度等 ## 依赖 - Python >=3.10,<4.0 - fastmcp==2.3.5 - pyyaml==6.0.1 ## 快速开始 1. 下载本模块 ```bash git clone https://github.com/ai-xone/mcp ``` 2. 安装依赖 ```bash poetry install ``` 3. 构建 ```bash python -m build ``` 4. 上传到pypi ```bash twine upload dist/* ``` 5. 在 `mcp.json` 中添加以下配置 ```json { "mcpServers": { "ai-xone-mcp-workflow": { "command": "python", "args": ["server.py"] } } } ``` ## 参考 - [fastmcp 文档](https://pypi.org/project/fastmcp/) - [awslabs/mcp 官方文档](https://github.com/awslabs/mcp/blob/main/src/amazon-kendra-index-mcp-server/README.md)
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.