loading…
Search for a command to run...
loading…
A PRD-first multi-agent MCP server that wraps agent definitions, collaboration rules, and staged delivery into a local stdio service for standardized software d
A PRD-first multi-agent MCP server that wraps agent definitions, collaboration rules, and staged delivery into a local stdio service for standardized software delivery workflows.
English | 简体中文
Alias: Stay the Course (Keep Moving Forward)
FlowSpec MCP is a PRD-first multi-agent MCP server for standardized software delivery workflows. It wraps the agent definitions, collaboration rules, and staged delivery process from claude-standard-dev-team into a local stdio MCP service that can run across different MCP hosts.
Many multi-agent tools fail not because they lack agents, but because they lack structure. FlowSpec MCP focuses on three ideas:
Spec first: create PRD, contracts, and task lists before executionWorkflow closed-loop: move from planning to delivery through explicit phasesModel-agnostic: work with MCP-compatible hosts instead of tying the workflow to one model vendorIn short:
Write the spec first, then let the agents execute.
stdio MCP server1 orchestrator plus multiple specialist agentsplain, minimal-json, and full-artifact-jsonPhase 0 -> Phase 11 workflow executionclaude CLIRecommended order of use:
PRDTECH_SPEC, API_CONTRACT, and DB_SCHEMAPhase 1 and Phase 2Model quality varies a lot across structured output, code generation, and long-running workflows. For best results, prefer stronger models for end-to-end execution.
Recommended priority:
ClaudeGPTDeepSeek V4 ProMiniMaxGuidance:
sampling, connect a stronger model and run the full workflow automaticallysampling, let FlowSpec MCP produce prompt packages and pass them to your preferred model manuallyDefault workflow roles:
orchestrator for global coordinationproduct-manager for PRDsoftware-architect for contracts and technical specsui-designer for design system outputdatabase-optimizer for database implementationbackend-architect for backend implementationfrontend-developer for frontend implementationtesting-evidence-collector for QA evidencesecurity-engineer for security reviewcode-reviewer for code reviewreality-checker for final acceptancetechnical-writer for delivery documentationhealth_checklist_agentsget_agent_promptget_workflow_summarybuild_execution_planrun_agentrun_orchestratorrun_governed_workflowrun_full_workflowplainminimal-jsonfull-artifact-jsonartifacts>= 20claude-standard-dev-team source repositorySource resolution order:
TEAM_SOURCE_PATH../claude-standard-dev-team if the env var is not setcd <PATH_TO_FLOWSPEC_MCP>
npm install
cd <PATH_TO_FLOWSPEC_MCP>
npm start
Notes:
See mcp.config.sample.json for a generic example.
{
"mcpServers": {
"flowspec-mcp": {
"command": "node",
"args": [
"C:\\path\\to\\flowspec-mcp\\server.js"
],
"env": {
"TEAM_SOURCE_PATH": "C:\\path\\to\\claude-standard-dev-team"
}
}
}
}
%APPDATA%\\Claude\\claude_desktop_config.json%USERPROFILE%\\.cursor\\mcp.jsonDefault full workflow phases:
Phase 0 orchestratorPhase 1 product-managerPhase 2 software-architectPhase 2.5 ui-designerPhase 3 orchestratorPhase 4 database-optimizerPhase 5 backend-architectPhase 5 QA testing-evidence-collectorPhase 6 frontend-developerPhase 6 QA testing-evidence-collectorPhase 7 security-engineerPhase 8 code-reviewerPhase 9 devops-automatorPhase 10 reality-checkerPhase 11 technical-writerbuild_execution_plan(userRequest="Build a Todo Lite app", mode="full-workflow")
run_agent(
agentName="product-manager",
phase="Phase 1",
artifactType="PRD",
projectName="todo-lite",
responseMode="full-artifact-json",
targetDir="C:\\output\\todo-lite",
task="Generate a complete PRD"
)
run_full_workflow(
projectName="todo-lite",
userRequest="Build a minimal Todo Lite app with create, list, toggle, docs, code skeleton, and deployment files.",
targetDir="C:\\output\\todo-lite"
)
npm test
npm run smoke
npm run test:integration
The full integration test:
reports/reports/LICENSE, CHANGELOG, release tags, and screenshots for a cleaner project pagesampling, execution falls back to prompt packagesThis project is inspired by and built with reference to the upstream project xuanbingbingo/claude-standard-dev-team.
Thanks to the original authors and contributors for publishing the agent definitions, workflow ideas, and engineering conventions that made this local MCP adaptation possible.
feng#moonstack.org ('#' to '@')Released under the MIT License.
Выполни в терминале:
claude mcp add flowspec-mcp -- npx Web content fetching and conversion for efficient LLM usage.
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolProvides auto-configuration for setting up an MCP server in Spring Boot applications.
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzНе уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai