Meta Prompt Mcp
Bundles Google's and Anthropic's official prompting documentation as two MCP tools you can query while writing system prompts or meta-prompts. Exposes get_google_guide and get_anthropic_guide, both reading from local markdown files with zero API calls or network latency. Useful when you're building agent instructions and want to ground your approach in documented best practices instead of guessing. The repo includes benchmarks comparing prompt quality with and without guide access across five tasks. Runs entirely offline via stdio transport, so you get instant retrieval of techniques like chain-of-thought, multishot prompting, and LLM configuration strategies right in your Claude Desktop or Cursor workflow.
- GitHub stars
- 2
- tools
- 2
- transport
- STDIO
- last updated
- Feb 28, 2026
Tools
2 toolsPublic tool metadata for what this MCP can expose to an agent.
get_google_guideRetrieves Google's comprehensive prompting guide covering techniques, best practices, and LLM configuration
Retrieves Google's comprehensive prompting guide covering techniques, best practices, and LLM configuration
No parameter schema in public metadata yet.
get_anthropic_guideRetrieves Anthropic's guide on chain-of-thought, multishot prompting, and extended thinking
Retrieves Anthropic's guide on chain-of-thought, multishot prompting, and extended thinking
No parameter schema in public metadata yet.
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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.
Details
- Repository
- github.com/kapillamba4/meta-prompt-mcp
- Category
- AI & LLM Tools
- Package
meta-prompt-mcp- Transport
- STDIO
- Registry
- MCP registry, active
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