DevFlow MCP Server
@maxxentropy
DevFlow MCP Server について
DevFlow is an MCP server project
基本情報
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概要
What is DevFlow MCP Server?
DevFlow MCP Server is a professional Model Context Protocol (MCP) server for development‑workflow automation. It lets you create and run language‑agnostic tools through an extensible plugin system supporting C#, TypeScript, and Python, using Clean Architecture to separate concerns.
How to use DevFlow MCP Server?
Ensure .NET SDK 8.0 and PowerShell 7.x are installed. Build with dotnet build in the src directory, then run dotnet run from DevFlow.Host. The server listens on http://localhost:5000. Use the test script .\Test-Simple.ps1 to verify health, list plugins, and execute the HelloWorldPlugin.
Key features of DevFlow MCP Server
- MCP 1.0 compliant REST/JSON‑RPC façade
- Hot‑loadable plugins in C#, TypeScript, and Python
- Workflow engine (create, run, query, list)
- Built‑in health check endpoint
- PowerShell test scripts for CI/CD smoke tests
- Clean Architecture with CQRS and Mediator pattern
Use cases of DevFlow MCP Server
- Automate external API integration via Python plugins
- Run batch data processing tasks with custom plugins
- Execute file search and transform operations using TypeScript plugins
- Combine multiple plugin steps into a reusable workflow
- Validate and discover plugins for dynamic tool registration
FAQ from DevFlow MCP Server
What languages are supported for plugins?
C#, TypeScript, and Python are supported.
What are the runtime requirements?
The server requires .NET SDK 8.0 and PowerShell 7.x.
How do I test the server after installation?
Run .\Test-Simple.ps1 from the repository root. It performs a health check, lists registered plugins, and executes HelloWorldPlugin.
What should I do if the server fails to start?
Check if port 5000 is already in use with netstat -an | findstr :5000. If a database error occurs, delete src/DevFlow.Host/devflow.db and restart; EF Core recreates it.
How are plugin dependencies declared?
In the plugin.json manifest, use nuget:, npm:, or pip: prefixed references in the dependencies field.
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