Meta Prompt MCP

MCP server providing official Google and Anthropic prompting guides for meta-prompt generation.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "meta-prompt-mcp": {
      "command": "uvx",
      "args": [
        "meta-prompt-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Meta-Prompt MCP

Instant access to Google and Anthropic's official prompting guides within your LLM workflow—optimized for crafting high-quality meta-prompts and system prompts.

What It Does

Meta-Prompt MCP is an MCP server that surfaces official prompting best practices from Google and Anthropic directly within your LLM workflow. Instead of searching documentation or guessing how to instruct an LLM, you can query expert guides on-demand.

This is especially valuable when crafting meta-prompts (system prompts for agents) or optimizing your own prompting strategies. By grounding your prompts in proven methodology, you'll generate more effective, well-structured outputs.

How It Works

Your MCP host (Claude Desktop, Cursor, etc.) communicates with the server via stdio. When you ask for a guide, the server retrieves it from bundled markdown files—no API calls, no latency.

Code

┌────────────────────────┐          ┌──────────────────────────┐
│   Your LLM Host        │◄─stdio──►│  Meta-Prompt MCP Server  │
│  (Claude Desktop, etc) │          │                          │
└────────────────────────┘          │  • get_google_guide      │
                                    │  • get_anthropic_guide   │
                                    │                          │
                                    │  Data layer:             │
                                    │  ./data/                 │
                                    │  ├── google_*.md         │
                                    │  └── anthropic_*.md      │
                                    └──────────────────────────┘

Key Features

get_google_guide — Retrieves Google's comprehensive prompting guide covering techniques, best practices, and LLM configuration
get_anthropic_guide — Retrieves Anthropic's guide on chain-of-thought, multishot prompting, and extended thinking
Zero dependencies — Runs entirely offline with bundled guides; no API keys or network calls required

Validation

We ran a benchmark comparing prompts generated with and without guide access across 5 diverse tasks. An independent judge LLM scored each on Clarity, Specificity, Structure, Effectiveness, and Overall quality (1–10 scale).

See full results →

To reproduce the benchmark:

server.ts

export OPENROUTER_API_KEY=sk-or-...
make benchmark

Quick Start

1. Install

bash

# Via uvx (recommended — run without installing globally)
uvx meta-prompt-mcp

# Or install via pip
pip install meta-prompt-mcp

The package ships with bundled markdown guides — no API keys or setup needed.

2. Configure Your MCP Host

Claude Desktop

Add to your claude_desktop_config.json:

config.json

{
  "mcpServers": {
    "meta-prompt-mcp": {
      "command": "uvx",
      "args": ["meta-prompt-mcp"]
    }
  }
}

Cursor

Add to your MCP settings:

config.json

{
  "mcpServers": {
    "meta-prompt-mcp": {
      "command": "uvx",
      "args": ["meta-prompt-mcp"]
    }
  }
}

Claude Code

Run the following command in your terminal:

Terminal

claude mcp add meta-prompt-mcp -- uvx meta-prompt-mcp

Usage

Query the guides while crafting your prompts. Examples:

"I'm building a code reviewer agent. Reference the Google guide to help me write a better system prompt."
"Based on the Anthropic guide, suggest improvements to this prompt for better reasoning."
"What technique from the guides would work best for this task?"

The LLM reads the guides and uses that knowledge to give you more informed suggestions and feedback on your prompts.

Development

bash

# Clone the repo
git clone https://github.com/kapillamba4/meta-prompt-mcp.git
cd meta-prompt-mcp

# Install in dev mode
make dev

# Run the server
make run

Available Commands

bash

make dev        # Install in editable mode with dev dependencies
make run        # Start the MCP server locally
make lint       # Check code quality
make format     # Auto-format code with Black & isort
make test       # Run test suite
make benchmark  # Run prompt quality benchmark (requires OPENROUTER_API_KEY)
make build      # Build distribution packages
make publish    # Publish to PyPI

Project Structure

Code

meta-prompt-mcp/
├── pyproject.toml                 # Dependencies and package config
├── Makefile                       # Development commands
├── .env.example                   # Template for OPENROUTER_API_KEY
│
├── benchmarks/
│   ├── benchmark.py               # Prompt quality evaluation script
│   └── results.md                 # Benchmark results
│
└── src/meta_prompt_mcp/
    ├── __init__.py
    ├── __main__.py                # Entry point (python -m)
    ├── server.py                  # FastMCP server & tool definitions
    └── data/
        ├── google_prompting_guide.md
        └── anthropic_prompting_guide.md

Contributing

Issues, feature requests, and contributions welcome. Please open an issue on GitHub.

License

MIT

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Meta Prompt MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "meta-prompt-mcp": { "command": "npx", "args": ["-y", "meta-prompt-mcp"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

37Quality signal: Fair · 37/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity2/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Meta Prompt MCP →Install in Claude Desktop Install in Cursor Install in VS Code

Meta Prompt MCP

MCP server providing official Google and Anthropic prompting guides for meta-prompt generation.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "meta-prompt-mcp": {
      "command": "uvx",
      "args": [
        "meta-prompt-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Meta-Prompt MCP

Instant access to Google and Anthropic's official prompting guides within your LLM workflow—optimized for crafting high-quality meta-prompts and system prompts.

What It Does

How It Works

Your MCP host (Claude Desktop, Cursor, etc.) communicates with the server via stdio. When you ask for a guide, the server retrieves it from bundled markdown files—no API calls, no latency.

Code

┌────────────────────────┐          ┌──────────────────────────┐
│   Your LLM Host        │◄─stdio──►│  Meta-Prompt MCP Server  │
│  (Claude Desktop, etc) │          │                          │
└────────────────────────┘          │  • get_google_guide      │
                                    │  • get_anthropic_guide   │
                                    │                          │
                                    │  Data layer:             │
                                    │  ./data/                 │
                                    │  ├── google_*.md         │
                                    │  └── anthropic_*.md      │
                                    └──────────────────────────┘

Key Features

get_google_guide — Retrieves Google's comprehensive prompting guide covering techniques, best practices, and LLM configuration
get_anthropic_guide — Retrieves Anthropic's guide on chain-of-thought, multishot prompting, and extended thinking
Zero dependencies — Runs entirely offline with bundled guides; no API keys or network calls required

Validation

See full results →

To reproduce the benchmark:

server.ts

export OPENROUTER_API_KEY=sk-or-...
make benchmark

Quick Start

1. Install

bash

# Via uvx (recommended — run without installing globally)
uvx meta-prompt-mcp

# Or install via pip
pip install meta-prompt-mcp

The package ships with bundled markdown guides — no API keys or setup needed.

2. Configure Your MCP Host

Claude Desktop

Add to your claude_desktop_config.json:

config.json

{
  "mcpServers": {
    "meta-prompt-mcp": {
      "command": "uvx",
      "args": ["meta-prompt-mcp"]
    }
  }
}

Cursor

Add to your MCP settings:

config.json

{
  "mcpServers": {
    "meta-prompt-mcp": {
      "command": "uvx",
      "args": ["meta-prompt-mcp"]
    }
  }
}

Claude Code

Run the following command in your terminal:

Terminal

claude mcp add meta-prompt-mcp -- uvx meta-prompt-mcp

Usage

Query the guides while crafting your prompts. Examples:

"I'm building a code reviewer agent. Reference the Google guide to help me write a better system prompt."
"Based on the Anthropic guide, suggest improvements to this prompt for better reasoning."
"What technique from the guides would work best for this task?"

The LLM reads the guides and uses that knowledge to give you more informed suggestions and feedback on your prompts.

Development

bash

# Clone the repo
git clone https://github.com/kapillamba4/meta-prompt-mcp.git
cd meta-prompt-mcp

# Install in dev mode
make dev

# Run the server
make run

Available Commands

bash

make dev        # Install in editable mode with dev dependencies
make run        # Start the MCP server locally
make lint       # Check code quality
make format     # Auto-format code with Black & isort
make test       # Run test suite
make benchmark  # Run prompt quality benchmark (requires OPENROUTER_API_KEY)
make build      # Build distribution packages
make publish    # Publish to PyPI

Project Structure

Code

meta-prompt-mcp/
├── pyproject.toml                 # Dependencies and package config
├── Makefile                       # Development commands
├── .env.example                   # Template for OPENROUTER_API_KEY
│
├── benchmarks/
│   ├── benchmark.py               # Prompt quality evaluation script
│   └── results.md                 # Benchmark results
│
└── src/meta_prompt_mcp/
    ├── __init__.py
    ├── __main__.py                # Entry point (python -m)
    ├── server.py                  # FastMCP server & tool definitions
    └── data/
        ├── google_prompting_guide.md
        └── anthropic_prompting_guide.md

Contributing

Issues, feature requests, and contributions welcome. Please open an issue on GitHub.

License

MIT

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Meta Prompt MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "meta-prompt-mcp": { "command": "npx", "args": ["-y", "meta-prompt-mcp"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/meta-prompt-mcp?style=directory)](https://allmcps.com/mcp/meta-prompt-mcp)

HTML Embed

<a href="https://allmcps.com/mcp/meta-prompt-mcp"><img src="https://allmcps.com/api/badge/meta-prompt-mcp?style=directory" alt="Meta Prompt MCP on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

37Quality signal: Fair · 37/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity2/15

Community engagement0/10

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Meta Prompt MCP →Install in Claude Desktop Install in Cursor Install in VS Code