F
licenseA
qualityD
maintenanceA powerful context management system that maintains persistent context across coding sessions, helping development teams track project structure, dependencies, and progress.
6
5
prompts-mcp-server
by thana0623
The prompts-mcp-server maintains conversational context and continuity across development sessions, helping AI assistants manage project state, workflows, and tasks.
Initialize Project (
init_prompts/pmcp setup): Scans a project and generates a prompt system (context.md, workflow logs, todos, dev rules, module directories) without overwriting existing files.Bootstrap Session (
bootstrap): Loads the full context chain (context.md, daily logs, recent activity, summaries, todos, module records) — the first step an AI agent should call when starting a session.Clarify Requirements (
check_requirements): Runs a 5-point clarity check on a task description and generates follow-up questions instead of guessing when requirements are ambiguous.Generate Execution Plan (
make_plan): After requirements are confirmed, generates a concrete, actionable plan awaiting user approval.Log Dialogs (
log_dialog): Records a conversation session into the context chain (daily log, recent activity, summaries, session state) including decisions, code changes, and leftover todos.Log & Read Module Changes (
log_module/read_module): Records modifications per code module and retrieves historical records — read module history before making changes.Manage Todos (
update_todos): Add, complete, or remove items in the project's todos.md.Skill System (
pmcp skill): Manage and apply specialized role-based skills (e.g., analyst, architect, backend) for different tasks.Code Version Control: Facilitates commits, pushes, and publishing workflows including privacy audits (
pmcp audit,pmcp publish).Tool & Scene Recommendation (
pmcp tools/pmcp recommend): Discover and recommend appropriate development tools and scenarios for specific contexts.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@prompts-mcp-serverInitialize prompts for my project"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
prompts-mcp-server
A universal MCP (Model Context Protocol) Server that automatically generates and manages a prompts system for any software project, enabling AI coding assistants to maintain persistent context across development sessions.
Features
Intelligent Project Scanning — Automatically identifies the target project's tech stack, frameworks, databases, and build tools
Context Persistence — Maintains a complete chain of project context, conversation logs, and module change history
Requirement Clarification Check — A 5-point standard requirement confirmation mechanism to prevent blind development
Plan Generation — Generates an executable plan after requirement confirmation, awaiting user approval before implementation
Rolling Window System — Maintains the last 5 conversation records and 10 status summaries, with automatic rotation
Module-level Tracking — Records change history by functional module for easy traceability
Dual Interface Mode — Supports both MCP Server (stdio protocol) and CLI usage
Non-destructive Initialization — Does not overwrite existing files when generating prompt files
Related MCP server: MCP Prompt Enhancer
MCP Tools
Tool | Description |
| Scans the target project and automatically generates the prompts file system |
| Loads all context files at once; called as the first step when an AI agent starts |
| 5-point standard requirement clarification check (Goal, Input/Output, Constraints, Acceptance Criteria, Impact Scope) |
| Generates an executable plan after requirements are clarified |
| Logs conversation entries to the transmission chain (rolling window + status summary) |
| Records module-level changes (directory-based management) |
| Reads module change history |
| Updates the TODO list (add/complete/remove) |
Installation
npm install
npm run buildUsage
Integration as an MCP Server
Add the following to your AI assistant's configuration (e.g., Cline, Claude Desktop, etc.):
{
"mcpServers": {
"prompts-mcp": {
"command": "node",
"args": ["/path/to/prompts-mcp-server/build/index.js"],
"env": {
"PROJECT_ROOT": "/path/to/your/project"
}
}
}
}Usage as CLI
# 初始化 prompts 系统
npm run cli init [--project-root /path]
# 加载所有上下文
npm run cli bootstrap
# 需求检查
npm run cli check "任务描述"
# 生成计划
npm run cli plan "任务描述"
# 记录对话
npm run cli log --title "xxx" --request "xxx" [--changes ...]
# 模块日志
npm run cli module-log <module> --change "xxx"
npm run cli module-read <module>
npm run cli module-list
# TODO 管理
npm run cli todos add|complete|remove "todo text"Development Mode
npm run dev # 运行 MCP Server
npm run dev:cli # 运行 CLIEnvironment Variables
Variable | Description | Default Value |
| Target project root directory |
|
Generated File Structure
After initialization, the following will be generated in the .github/prompts/ directory of the target project:
.github/prompts/
├── context.md # 项目上下文：技术栈、规则、TODO、日志索引
├── workflow-log.md # 工作流规则和 AI 对话规范
├── recent-5.md # 最近 5 条对话记录（滚动窗口）
├── summary-10.md # 每 10 条的状态摘要
├── log-state.json # JSON 状态追踪
├── todos.md # TODO 列表
├── dev-rules.md # 自动生成的开发规则
├── daily/ # 每日完整日志
│ └── YYYY-MM-DD.md
└── modules/ # 各模块变更历史
└── <module-name>.mdTech Stack
TypeScript (ES2022, ESM)
@modelcontextprotocol/sdk — Official MCP SDK
Node.js Runtime
License
MIT
Maintenance
–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity
Resources
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Related MCP Servers
- Flicense-qualityDmaintenanceIntelligently analyzes codebases to enhance LLM prompts with relevant context, featuring adaptive context management and task detection to produce higher quality AI responses.2
- FlicenseAqualityCmaintenanceRefines and improves AI prompts using workspace-aware context from your project's tech stack, structure, and dependencies. Includes tools to analyze prompt quality and generate well-structured prompts from raw ideas.42095
- AlicenseAquality-maintenanceProvides AI-driven project memory management through structured prompts that help Claude parse tasks from specs, review code changes, sync with commit history, and maintain project documentation without directly accessing files.7
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