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Claude Prompts

minipuft/claude-prompts-mcp
148
Summary

Wraps prompt engineering workflows into reusable MCP tools with validation gates and hot-reload during development. Exposes three main operations: execute single prompts with parameter validation, run multi-step chains that thread context between stages, and export workflows as native client skills. The validation system catches malformed outputs and triggers self-correction before passing results to the next step. Built for iterative prompt development where you're tweaking templates and testing chains without restarting your client. Works across Claude Desktop, VS Code, Cursor, and other MCP-compatible editors with client-specific handoff optimizations.

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Claude Prompts MCP Server

Claude Prompts MCP Server Logo

npm version License: MIT

An MCP workflow server.

Craft reusable prompts with validation and reasoning guidance.
Orchestrate agentic workflows with a composable operator syntax.
Export as native skills.

Quick Start · What You Get · Compose Workflows · Run Anywhere · Docs

What your AI client gives you — and what this server adds

Your client already doesThis server adds
Run a promptCompose prompts with validation, reasoning guidance, and formatting in one expression
Single-shot skillsMulti-step workflows that thread context between steps
Execute subagentsHand off mid-chain steps to agents with full workflow context
Client-native skill formatAuthor once as YAML, export to any client with skills:export
Manual prompt writingVersioned templates with hot-reload, rollback, and history
Trust the outputValidate output between steps — self-evaluation and shell commands

Is this for me?

  • Use this if you write the same prompts repeatedly, run multi-step workflows, or want to share reusable prompts with a team.
  • Skip if your client's built-in /commands already handle what you need, or you're looking for a no-code prompt library.
  • Works with Claude Code, Claude Desktop, Cursor, OpenCode, Gemini CLI, Codex, Windsurf, and Zed. Plugin installers add hooks (chain tracking, gate enforcement, state preservation) for Claude Code, OpenCode, and Gemini CLI; other clients run MCP-only.

How to write a chain

>>review target:'src/auth/' @ReACT :: 'cite sources'
  --> security_scan :: verify:"npm test"
  ==> implementation

Read top-to-bottom:

  • >>review target:'src/auth/' runs the review prompt against your auth folder.
  • @ReACT overlays the ReACT reasoning framework on this step.
  • :: 'cite sources' adds a gate the AI must satisfy (cite sources, or retry).
  • --> security_scan :: verify:"npm test" chains to step 2, which must pass npm test before producing output.
  • ==> implementation hands the final step off to a client-native agent (a subagent in Claude Code).

Validation runs between steps, not only at the end. For the full operator set including *, %, and #, see the Syntax Reference details block near the bottom.

Chain workflow with gate validation — prompt executes through hooks, gate catches missing field on first attempt then self-corrects

Chain + gate validation in action (haiku model) — gates catch errors and guide self-correction, even on the cheapest model


Quick Start

Claude Code (Recommended)

# Add marketplace (first time only)
/plugin marketplace add minipuft/minipuft-plugins

# Install
/plugin install claude-prompts@minipuft

# Try it
>>tech_evaluation_chain library:'zod' context:'API validation'
Development setup

Load plugin from local source for development:

git clone https://github.com/minipuft/claude-prompts ~/Applications/claude-prompts
cd ~/Applications/claude-prompts/server && npm install && npm run build
claude --plugin-dir ~/Applications/claude-prompts

Edit hooks/prompts → restart Claude Code. Edit TypeScript → rebuild first.


Claude Desktop

Option A: GitHub Release (recommended)

  1. Download claude-prompts-{version}.mcpb from Releases
  2. Drag into Claude Desktop Settings → MCP Servers
  3. Done

The .mcpb bundle is self-contained (~5MB); no npm required.

Option B: NPX (auto-updates)

Add to your config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "claude-prompts": {
      "command": "npx",
      "args": ["-y", "claude-prompts@latest", "--client", "claude-code"]
    }
  }
}

Restart Claude Desktop and test: >>research_chain topic:'remote team policies'


Other clients: VS Code · Cursor · OpenCode · Gemini CLI · Codex · Windsurf · Zed · From Source

One-click install:

Install in VS Code Install in Cursor

Plugin installers (recommended, adds hooks):

# OpenCode (full hooks)
npm install -g opencode-prompts && opencode-prompts install

# Gemini CLI (partial hooks)
gemini extensions install https://github.com/minipuft/gemini-prompts

Manual config for VS Code, Cursor, OpenCode (no hooks), Gemini CLI (no hooks), Codex, Windsurf, Zed: see Client Integration Guide for per-client config locations, JSON examples, and --client preset matrix. Client Capabilities Reference covers profile mapping and limits.

From source (developers):

git clone https://github.com/minipuft/claude-prompts.git
cd claude-prompts/server && npm install && npm run build && npm test

Point your MCP config to server/dist/index.js. Transport: --transport=stdio (default) or --transport=streamable-http.

Custom resources: --init=~/my-prompts scaffolds a workspace of prompts, gates, frameworks, and styles. Edit the starter templates (YAML schema), or have your AI author new ones via resource_manager. Point MCP_RESOURCES_PATH at an existing workspace if you already have one in the right shape. See Custom Resources Guide.


What You Get

Four primitives you author, version, and compose. The bundled set ships 90+ prompts across 11 categories. All hot-reloadable, all versioned with rollback.

PrimitiveSymbolWhat it isExample
Prompt template>>Versioned YAML with named arguments; hot-reload on save>>code_review target:'src/auth/'
Gate::Validation criterion the AI checks its own output against; blocking or advisory; can shell-verify:: 'cite sources' · :: verify:"npm test"
Framework@Reasoning framework that shapes how the AI works through the problem; plug in your own or use built-ins like @ReACT, @5W1H, or the project's own @CAGEERF scaffold (Frameworks Guide)@ReACT · @your_framework
Style#Output formatting and tone#analytical · #concise

All four are managed through the resource_manager tool. Your AI creates, edits, versions, and rolls back resources through MCP; no file editing required. Failed gate checks can retry automatically or pause for your decision (Gates Guide). Build your first primitive: Prompt Authoring Tutorial.


Compose Workflows

The basic chain syntax is in How to write a chain at the top. Two patterns extend it. Chains also support conditional branching, context threading, and agent handoffs — see Chains Lifecycle and MCP Tools Reference.

See the output — tech evaluation chain with context7 research
Tech evaluation chain researching Zod via context7, producing a scored assessment table with security, performance, DX, integration, and ecosystem ratings

Context7 fetches live library docs mid-chain — final output is a structured assessment with sources

Verification Loops

Ground-truth validation via shell commands. The AI keeps iterating until tests pass:

>>implement-feature :: verify:"npm test" loop:true

Implements, runs the test, reads failures, fixes, retries. Spawns a fresh context after repeated failures to avoid context rot.

PresetTriesTimeoutUse Case
:fast130sQuick check
:full55 minCI validation
:extended1010 minLarge test suites

For autonomous test-fix cycles with context-rot prevention: Ralph Loops Guide.

Judge Mode

Let the AI pick the right resources for the task:

%judge Help me refactor this authentication module

Analyzes available templates, reasoning frameworks, validation rules, and styles, then applies the best combination automatically. For scoring and overrides see Judge Mode Guide.


Run Anywhere

Author workflows as YAML templates. Export as native skills to your client.

# skills-sync.yaml — choose what to export
registrations:
  claude-code:
    user:
      - prompt:development/review
      - prompt:development/validate_work
npm run skills:export

The review prompt becomes a /review Claude Code skill. validate_work becomes /validate_work. Same source, native experience; no MCP call required at runtime.

Compiles to Claude Code skills, Cursor rules, OpenCode commands, and more. npm run skills:diff flags when exports drift from source. Configuration, supported clients, and drift detection: Skills Sync Guide.


With Hooks

Without hooks, you're calling the three MCP tools explicitly (the LLM constructs each call). With hooks, the operators work in conversation: >>, -->, ==>, :: feel native rather than mediated, and workflow state survives across LLM turns and context compaction.

What hooks unlock:

HookUnlocks
Auto-routing>>analyze topic:'X' in chat fires the right MCP tool call without you naming it
Chain continuity across compactionMulti-step chains preserve state when context compacts mid-execution; the chain doesn't restart from scratch
Cross-step verdict trackingGate pass/fail verdicts thread across all chain steps without the LLM re-deriving them
Native agent handoffs==> routes to your client's subagent system automatically; no manual subagent invocation
Session persistenceWorkflow state preserved when context compacts mid-chain

Hooks ship with the plugin install. Full support on Claude Code (this repo) and OpenCode; partial on Gemini CLI. Other clients get the three MCP tools but no hook-driven behaviors. Detail: hooks/README.md.


Syntax Reference
SymbolNameWhat It DoesExample
>>PromptExecute template>>code_review
-->ChainPipe to next stepstep1 --> step2
==>HandoffRoute step to agentstep1 ==> agent_step
*RepeatRun prompt N times>>brainstorm * 5
@FrameworkInject reasoning guidance@ReACT
::GateAdd validation criteria:: 'cite sources'
%ModifierToggle behavior%clean, %judge
#StyleApply formatting#analytical

Modifiers:

  • %clean — No framework/gate injection
  • %lean — Gates only, skip framework
  • %guided — Force framework injection
  • %judge — AI selects best resources

→ MCP Tools Reference for full command documentation.

The Three Tools
ToolPurpose
prompt_engineExecute prompts with frameworks and validation
resource_managerCreate, update, version, and export resources
system_controlStatus, analytics, framework switching

Most users invoke these via >> syntax in conversation; hooks construct the actual calls. For programmatic MCP clients calling tools directly, see MCP Tools Reference.


How It Works

Command with operators → server parses and injects resources (framework, gates, style) → client executes the rendered prompt and self-evaluates against the gates → router decides: next step on pass, retry on fail, return on done.

Full request lifecycle, pipeline stages, and subsystem diagrams: Architecture Overview.


Documentation

Full docs index — organized by Diátaxis quadrant (tutorials, how-to, reference, concepts):

→ docs/README.md

Quick jumps: Build your first prompt · Chains lifecycle · MCP Tools reference · Architecture overview · Troubleshooting


Contributing

cd server
npm install
npm run build        # esbuild bundles to dist/index.js
npm test             # Run test suite
npm run validate:all # Full CI validation

The build produces a self-contained bundle. server/dist/ is gitignored — CI builds fresh from source.

See CONTRIBUTING.md for workflow details.


License

MIT

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UpdatedDec 15, 2025
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