Claude Prompts MCP Server

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<img src="assets/logo.png" alt="Claude Prompts MCP Server Logo" width="200" />

Hot-reloadable prompts with chains, gates, and structured reasoning for AI assistants.

Quick Start • Features • Syntax • Docs

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Quick Start

Claude Code (Recommended)

# Step 1: Add marketplace (first time only)
/plugin marketplace add minipuft/minipuft-plugins

# Step 2: Install
/plugin install claude-prompts@minipuft

# Step 3: Try it
>>tech_evaluation_chain library:'zod' context:'API validation'

<details> <summary>Why hooks matter</summary>

The plugin adds hooks that fix common issues:

Problem	Hook Fix
Model ignores >>analyze	Detects syntax, suggests correct MCP call
Chain step forgotten	Injects [Chain] Step 2/5 - continue
Gate review skipped	Reminds GATE_REVIEW: PASS|FAIL

Raw MCP works, but models sometimes miss the syntax. The hooks catch that. → hooks/README.md

</details>

<details> <summary>Development setup</summary>

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.

</details>

User Data: Custom prompts stored in ~/.local/share/claude-prompts/ persist across updates.

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<details> <summary><strong>OpenCode</strong></summary>

User Install — Add to ~/.config/opencode/opencode.json:

{
  "mcp": {
    "claude-prompts": {
      "type": "local",
      "command": ["npx", "-y", "claude-prompts@latest"]
    }
  }
}

Development Setup — Use the opencode-prompts plugin (includes hooks):

git clone https://github.com/minipuft/opencode-prompts ~/Applications/opencode-prompts
cd ~/Applications/opencode-prompts && git submodule update --init
ln -s ~/Applications/opencode-prompts ~/.config/opencode/plugin/opencode-prompts
cd server && npm install && npm run build

Then point MCP to your local server in ~/.config/opencode/opencode.json:

{
  "mcp": {
    "claude-prompts": {
      "type": "local",
      "command": ["node", "~/Applications/opencode-prompts/server/dist/index.js", "--transport=stdio"],
      "environment": { "MCP_WORKSPACE": "~/Applications/opencode-prompts/server" }
    }
  }
}

</details>

<details> <summary><strong>Gemini CLI</strong></summary>

User Install:

gemini extensions install https://github.com/minipuft/gemini-prompts

Development Setup — Load from local source:

git clone https://github.com/minipuft/gemini-prompts ~/Applications/gemini-prompts
cd ~/Applications/gemini-prompts && git submodule update --init
cd core/server && npm install && npm run build
ln -s ~/Applications/gemini-prompts ~/.gemini/extensions/gemini-prompts

Same tools (prompt_engine, resource_manager, system_control) with Gemini-optimized hooks.

</details>

<details> <summary><strong>Claude Desktop</strong></summary>

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"]
    }
  }
}

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

</details>

<details> <summary><strong>Cursor</strong></summary>

1. Open Settings → MCP → Edit Config (or edit ~/.cursor/mcp.json)
2. Add:

{
  "mcpServers": {
    "claude-prompts": {
      "command": "npx",
      "args": ["-y", "claude-prompts@latest"]
    }
  }
}

3. Restart Cursor and test: resource_manager(resource_type:"prompt", action:"list")

</details>

<details> <summary><strong>Other MCP Clients</strong> (Windsurf, Zed, etc.)</summary>

Add to your MCP configuration file:

{
  "mcpServers": {
    "claude-prompts": {
      "command": "npx",
      "args": ["-y", "claude-prompts@latest"]
    }
  }
}

</details>

<details> <summary><strong>From Source</strong> (developers only)</summary>

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. The esbuild bundle is self-contained.

Transport options: --transport=stdio (default), --transport=streamable-http (HTTP clients).

</details>

Custom Resources

Use your own prompts without cloning:

{
  "mcpServers": {
    "claude-prompts": {
      "command": "npx",
      "args": ["-y", "claude-prompts@latest"],
      "env": {
        "MCP_RESOURCES_PATH": "/path/to/your/resources"
      }
    }
  }
}

Your resources directory can contain: prompts/, gates/, methodologies/, styles/.

Override Method	Example
All resources	MCP_RESOURCES_PATH=/path/to/resources
Just prompts	MCP_PROMPTS_PATH=/path/to/prompts
CLI flag (dev)	--prompts=/path/to/prompts

Priority: CLI flags > individual env vars > MCP_RESOURCES_PATH > package defaults.

See CLI Configuration for all options.

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What You Get

🔥 Hot Reload

Edit prompts, test immediately. Better yet—ask Claude to fix them:

User: "The code_review prompt is too verbose"
Claude: resource_manager(action:"update", id:"code_review", ...)
User: "Test it"
Claude: prompt_engine(command:">>code_review")  # Uses updated version instantly

🔗 Chains

Break complex tasks into steps with -->:

analyze code --> identify issues --> propose fixes --> generate tests

Each step's output flows to the next. Add quality gates between steps.

🧠 Frameworks

Inject structured thinking patterns:

@CAGEERF Review this architecture    # Context → Analysis → Goals → Execution → Evaluation → Refinement
@ReACT Debug this error              # Reason → Act → Observe loops

🛡️ Gates

Quality criteria Claude self-checks:

Summarize this :: 'under 200 words' :: 'include key statistics'

Failed gates can retry automatically or pause for your decision.

✨ Judge Selection

Let Claude pick the right tools:

%judge Help me refactor this codebase

Claude analyzes available frameworks, gates, and styles, then applies the best combination.

📜 Version History

Every update is versioned. Compare, rollback, undo:

resource_manager(action:"history", id:"code_review")
resource_manager(action:"rollback", id:"code_review", version:2, confirm:true)

🔄 Checkpoints

Save working directory state before risky changes. Restore instantly if something breaks:

# Checkpoint before refactoring
resource_manager(resource_type:"checkpoint", action:"create", name:"pre-refactor")

# Something broke? Rollback to checkpoint
resource_manager(resource_type:"checkpoint", action:"rollback", name:"pre-refactor", confirm:true)

# List all checkpoints
resource_manager(resource_type:"checkpoint", action:"list")

Uses git stash under the hood. Pairs with verification gates for safe autonomous loops.

✅ Verification Gates (Ralph Loops)

Ground-truth validation via shell commands—Claude keeps trying until tests pass:

# You say this:
>>implement-feature :: verify:"npm test" loop:true

# Claude does this:
# 1. Implements feature
# 2. Runs npm test → FAIL
# 3. Reads error, fixes code
# 4. Runs npm test → FAIL
# 5. Tries again...
# 6. Runs npm test → PASS ✓
# You get working code.

Context Isolation: After 3 failed attempts, spawns a fresh Claude instance with session context—no context rot, fresh perspective, automatic handoff.

Preset	Max Tries	Timeout	Use Case
:fast	1	30s	Quick iteration
:full	5	5 min	CI validation
:extended	10	10 min	Large test suites

Override options: max:15 (custom attempts), timeout:120 (custom seconds).

# Custom limits for stubborn tests
>>fix-flaky-test :: verify:"npm test" :full max:8 timeout:180 loop:true

See Ralph Loops Guide for autonomous verification patterns and cost tracking.

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Syntax Reference

Symbol	Name	What It Does	Example
>>	Prompt	Execute template	>>code_review
-->	Chain	Pipe to next step	step1 --> step2
@	Framework	Inject methodology	@CAGEERF
::	Gate	Add quality criteria	:: 'cite sources'
%	Modifier	Toggle behavior	%clean, %judge
#	Style	Apply formatting	#analytical

Modifiers:

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

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Using Gates

# Inline (quick)
Research AI :: 'use recent sources' --> Summarize :: 'be concise'

# With framework
@CAGEERF Explain React hooks :: 'include examples'

# Programmatic
prompt_engine({
  command: ">>code_review",
  gates: [{ name: "Security", criteria: ["No hardcoded secrets"] }]
})

Severity	Behavior
Critical/High	Must pass (blocking)
Medium/Low	Warns, continues (advisory)

See Gates Guide for full schema.

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Configuration

Customize via server/config.json:

Section	Setting	Default	Description
prompts	directory	prompts	Prompts directory (hot-reloaded)
frameworks	injection.systemPrompt	enabled	Auto-inject methodology guidance
gates	definitionsDirectory	gates	Quality gate definitions
execution	judge	true	Enable %judge resource selection

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The Three Tools

Tool	Purpose
prompt_engine	Execute prompts with frameworks and gates
resource_manager	CRUD for prompts, gates, methodologies, checkpoints
system_control	Status, analytics, health checks

prompt_engine(command:"@CAGEERF >>analysis topic:'AI safety'")
resource_manager(resource_type:"prompt", action:"list")
resource_manager(resource_type:"checkpoint", action:"create", name:"backup")
system_control(action:"status")

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How It Works

%%{init: {'theme': 'neutral', 'themeVariables': {'background':'#0b1224','primaryColor':'#e2e8f0','primaryBorderColor':'#1f2937','primaryTextColor':'#0f172a','lineColor':'#94a3b8','fontFamily':'"DM Sans","Segoe UI",sans-serif','fontSize':'14px','edgeLabelBackground':'#0b1224'}}}%%
flowchart TB
    classDef actor fill:#0f172a,stroke:#cbd5e1,stroke-width:1.5px,color:#f8fafc;
    classDef server fill:#111827,stroke:#fbbf24,stroke-width:1.8px,color:#f8fafc;
    classDef process fill:#e2e8f0,stroke:#1f2937,stroke-width:1.6px,color:#0f172a;
    classDef client fill:#f4d0ff,stroke:#a855f7,stroke-width:1.6px,color:#2e1065;
    classDef clientbg fill:#1a0a24,stroke:#a855f7,stroke-width:1.8px,color:#f8fafc;
    classDef decision fill:#fef3c7,stroke:#f59e0b,stroke-width:1.6px,color:#78350f;

    linkStyle default stroke:#94a3b8,stroke-width:2px

    User["1. User sends command"]:::actor
    Example[">>analyze @CAGEERF :: 'cite sources'"]:::actor
    User --> Example --> Parse

    subgraph Server["MCP Server"]
        direction TB
        Parse["2. Parse operators"]:::process
        Inject["3. Inject framework + gates"]:::process
        Render["4. Render prompt"]:::process
        Decide{"6. Route verdict"}:::decision
        Parse --> Inject --> Render
    end
    Server:::server

    subgraph Client["Claude (Client)"]
        direction TB
        Execute["5. Run prompt + check gates"]:::client
    end
    Client:::clientbg

    Render -->|"Prompt with gate criteria"| Execute
    Execute -->|"Verdict + output"| Decide

    Decide -->|"PASS → render next step"| Render
    Decide -->|"FAIL → render retry prompt"| Render
    Decide -->|"Done"| Result["7. Return to user"]:::actor

The feedback loop: Command with operators → Parse and inject methodology/gates → Claude executes and self-evaluates → Route: next step (PASS), retry (FAIL), or return result (done).

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Documentation

• MCP Tooling Guide — Full command reference
• Prompt Authoring — Tutorial
• Chains — Multi-step patterns
• Gates — Quality validation
• Ralph Loops — Autonomous verification patterns
• Architecture — System internals

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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 (~4.5MB). server/dist/ is gitignored—CI builds fresh from source.

See CONTRIBUTING.md for workflow details.

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License

MIT