Meta Prompt Mcp
Give your coding agent on-demand access to Google and Anthropic official prompting guidance when drafting or refining system prompts and meta-prompts.
Overview
meta-prompt-mcp is an MCP server for the Build phase that serves official Google and Anthropic prompting guides so agents can draft better meta-prompts.
What is this MCP server?
- Surfaces official Google and Anthropic prompting guides as MCP-accessible reference for meta-prompt generation
- PyPI package meta-prompt-mcp v1.0.11 with stdio MCP transport for local agent wiring
- Keeps vendor-aligned prompt patterns in one place instead of scattered blog posts and PDFs
- Fits Claude Code, Cursor, and other MCP clients that can call tools during prompt authoring sessions
- Lightweight integration: install from PyPI and register as a stdio server in your MCP config
- Server schema version 1.0.11 on PyPI identifier meta-prompt-mcp
- Transport type stdio via packages registryType pypi
- Guides sourced from official Google and Anthropic prompting documentation per server description
Community signal: 2 GitHub stars.
What problem does it solve?
Solo builders waste cycles reconciling conflicting prompt advice and miss vendor-specific best practices when scaling agent instructions across repos.
Who is it for?
Indie devs standardizing Claude or Gemini agent prompts using first-party guide material inside Claude Code or Cursor.
Skip if: Teams that only need a one-off static system prompt with no ongoing meta-prompt iteration or MCP tooling setup.
What do I get? / Deliverables
After you register the stdio server, your agent can pull authoritative prompting patterns while you author or refactor meta-prompts in the same session.
- MCP tools backed by Google and Anthropic prompting guide content for meta-prompt workflows
- Repeatable vendor-aligned prompt patterns usable across agent projects
- Registered stdio MCP server entry in your agent config
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Journey fit
Prompt and meta-prompt design is core work while you configure agents and LLM-powered product flows, even though you may revisit prompts in validate and ship. Agent-tooling is the canonical shelf because the server exists to improve how tools and agents are instructed, not to run infra or ship QA gates.
How it compares
MCP reference server for vendor prompt guides, not a hosted LLM API or a generic skills.sh workflow skill.
Common Questions / FAQ
Who is meta-prompt-mcp for?
Solo and small-team builders who use MCP-enabled coding agents and want Google and Anthropic official prompting guidance available as tools during prompt work.
When should I use meta-prompt-mcp?
Use it while configuring agents, rewriting system prompts, or building reusable meta-prompt templates before you ship AI-facing features.
How do I add meta-prompt-mcp to my agent?
Install the PyPI package meta-prompt-mcp, add a stdio MCP server entry pointing at that package in Claude Code, Cursor, or another MCP host, then restart the client so tools load.