scriptflow-mcp
ScriptFlowは、複雑で繰り返し行われるAIとのインタラクションを持続可能な実行可能なスクリプトに変換するワークフロー管理システムです。これにより、時間とリソースを節約し、一貫性のある結果を保証します。チームでのコラボレーションも可能で、スクリプトの管理が容易になります。
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README
ScriptFlow MCP Server
ScriptFlow is a script workflow management system built on the Model Context Protocol (MCP). It transforms complex, repetitive AI interactions into persistent, executable scripts that can be managed, version-controlled, and reused across sessions.
Why ScriptFlow?
- Transform Workflows into Scripts: Convert successful AI interactions into reusable, executable scripts
- Save Time & Tokens: Execute complex tasks instantly instead of repeating long conversations
- Guaranteed Consistency: Scripts run the same way every time, eliminating AI randomness
- Powerful Management: Search, organize, edit, and version your automation library
- Team Collaboration: Share proven workflows across your organization
Features
- Add/Edit/Remove scripts with metadata
- List/Search scripts by name, description, or tags
- Execute scripts with arguments
- Multi-language support (Bash, Python, Node.js, TypeScript)
Setup
Add to your MCP client config (e.g., Claude Desktop claude_desktop_config.json
):
{
"mcpServers": {
"scriptflow": {
"command": "npx",
"args": ["scriptflow-mcp"],
"env": {
"SCRIPTFLOW_SCRIPTS_DIR": "/your/custom/path"
}
}
}
}
Environment Variables:
SCRIPTFLOW_SCRIPTS_DIR
: Scripts directory (default:/tmp/scriptflow-mcp/scripts
)SCRIPTFLOW_TIMEOUT
: Execution timeout in ms (default:30000
)
Available Tools
script_add
- Add new script (name, description, content, language, tags)script_edit
- Update existing scriptscript_get
- View script detailsscript_list
- Search/filter scriptsscript_run
- Execute script with argumentsscript_rm
- Remove script
Quick Example
// Add script
{"name": "hello", "description": "Hello script", "content": "echo 'Hello!'"}
// Run script
{"name": "hello", "args": ["World"]}
// List scripts
{"search": "hello"}
Storage
Scripts stored as {name}.{ext}
+ {name}.json
metadata files.
Supports: Bash (.sh), Python (.py), JavaScript (.js), TypeScript (.ts)
Testing
# Run tests
npm test
# Test with MCP Inspector
npx @modelcontextprotocol/inspector npx scriptflow-mcp