RISEN Prompts MCP Server

RISEN Prompts MCP Server

A small, local, network-free MCP server for the RISEN prompt-engineering framework. It gives any MCP client tools to build, validate, save, and reuse structured prompts.

Category
访问服务器

README

RISEN Prompts MCP Server

CI License: MIT

A small, local, network-free Model Context Protocol server for the RISEN prompt-engineering framework. It gives any MCP client — Claude Desktop, Claude Code, and OpenAI Codex CLI — a shared set of tools to build, validate, save, and reuse structured prompts.

RISEN stands for Role · Instructions · Steps · Expectations · Narrowing.

Why this one

There are a few RISEN MCP servers floating around. This one is built around three commitments that the others don't state clearly:

  • Runs entirely on your machine. The server code performs only local filesystem, stdio, and process coordination: no HTTP clients, sockets, telemetry, or external APIs. You can verify this in src/.
  • Honest, deterministic logic. No fake "AI performance tracking" or hidden model calls. The validator uses transparent, documented heuristics and rates structural quality — it never pretends to guarantee a prompt will work.
  • Real tests and a clean build. TypeScript, unit tests, an end-to-end MCP round-trip check, and a 10-gate verification script (npm run verify) that CI runs unchanged on Windows and Ubuntu — including a cross-process concurrency stress test and a 4000-case fuzz pass.

Tools

Tool What it does
risen_build Assemble the five components into a clean, ready-to-paste prompt + a quality score.
risen_validate Score a prompt 0–100 with a per-component breakdown and specific suggestions.
risen_scaffold Turn a plain task into a RISEN skeleton with the question each slot must answer.
risen_template_save Save a reusable template (supports {{variables}}) to local storage.
risen_template_list List saved templates, filterable by tag or query.
risen_template_get Retrieve one template and its assembled prompt.
risen_template_delete Delete a template.
risen_render Substitute {{variables}} in a template and return the finished prompt.

It also exposes a risen_guide prompt that explains the framework, discoverable as a slash command in clients that support MCP prompts.

Install

From source

Requires Node.js 22 or newer.

git clone https://github.com/SYZBZ/risen-prompts-mcp.git
cd risen-prompts-mcp
npm install
npm run build
npm test        # optional: run the test suite

This produces dist/index.js, the server entry point.

Configure your client

Replace /absolute/path/to/risen-prompts-mcp with where you cloned the repo.

Claude Desktop

Edit claude_desktop_config.json (Settings → Developer → Edit Config):

{
  "mcpServers": {
    "risen-prompts": {
      "command": "node",
      "args": ["/absolute/path/to/risen-prompts-mcp/dist/index.js"]
    }
  }
}

Claude Code

claude mcp add risen-prompts -- node /absolute/path/to/risen-prompts-mcp/dist/index.js

Or add it to .mcp.json in your project root:

{
  "mcpServers": {
    "risen-prompts": {
      "command": "node",
      "args": ["/absolute/path/to/risen-prompts-mcp/dist/index.js"]
    }
  }
}

OpenAI Codex CLI

Add to ~/.codex/config.toml:

[mcp_servers.risen-prompts]
command = "node"
args = ["/absolute/path/to/risen-prompts-mcp/dist/index.js"]

Ready-to-copy versions of all three live in examples/.

Usage

Once connected, ask your assistant naturally — it will pick the right tool. For example:

"Use the RISEN tools to validate this prompt: role = a helpful assistant, instructions = write a blog post…"

"Scaffold a RISEN prompt for writing a cold outreach email."

"Save that as a template called 'Cold Email' with a {{recipient}} variable, then render it for recipient = a hiring manager."

The RISEN framework

Component Purpose Weak → Strong
Role The persona/expertise the model adopts. "an assistant" → "Senior Python developer with AWS experience"
Instructions The core task, as a directive. "help with code" → "Review the Django code for security vulnerabilities"
Steps Ordered actions to follow. (none) → 3+ concrete, sequential steps
Expectations What a good output looks like. "be good" → "bullet list, severity-tagged, ≤2 sentences each"
Narrowing Constraints and scope. (none) → "Do not comment on formatting; security only"

The validator awards up to 20 points per component (100 total). It rewards specificity, action verbs, measurable output targets, and explicit constraint language.

The semantic scoring cues are currently tuned for English. Prompts in other languages can still be assembled, stored, and rendered, but their validation scores may be lower than their actual structural quality.

Storage

Templates are stored as a single JSON file:

  • Default: ~/.risen-mcp/templates.json
  • Override with the RISEN_DATA_DIR environment variable.

It's plain JSON — you can read or back it up directly. Before editing it by hand, stop every RISEN MCP server that uses the same data directory.

Writes are atomic and guarded by a cross-process lock so multiple MCP clients cannot overwrite each other's changes. Invalid or malformed JSON is reported and left untouched instead of being silently replaced. New storage directories and files use owner-only permissions on platforms that support POSIX modes. Locks record an owner token and process ID; a later writer automatically recovers a lock abandoned by a terminated process. If ownership cannot be confirmed safely, the write stops with a recovery message instead of guessing. After confirming no RISEN server is running, that message may ask you to remove .templates.lock and .templates.lock.recovery before retrying.

Development

npm run build   # compile TypeScript to dist/
npm test        # build, then run unit + storage + MCP stdio tests
npm run verify  # full 10-gate check: strict types, tests, cross-process
                # concurrency stress, fuzz invariants, packaging, hygiene

Core logic lives in src/risen.ts as pure functions with no I/O, so it's easy to test and reuse. CI runs the same scripts/verify.sh on a Windows + Ubuntu matrix, so a green local run means CI confirms rather than discovers.

Known dependency advisories

npm audit currently reports two moderate advisories for @hono/node-server (GHSA-frvp-7c67-39w9), pulled in transitively by @modelcontextprotocol/sdk. They are intentionally left as-is:

  • The vulnerable code is Hono's HTTP serve-static handler. This server is stdio-only — it never starts an HTTP server, so that path is unreachable.
  • The SDK version in use is the latest available; npm audit fix --force would downgrade it to 1.24.3, a breaking change, without making this server safer.

CI still enforces npm audit --omit=dev --audit-level=high, so any high or critical advisory in production dependencies fails the build.

License

MIT — see LICENSE.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选