Skip to main content
Glama
kapillamba4

meta-prompt-mcp

by kapillamba4
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_google_guideA

USE THIS TOOL proactively when you need to write, create, refine, or optimize any prompt. Retrieves Google's official Prompting Guide as reference material to help you generate higher-quality prompts.

ALWAYS CALL THIS TOOL when:

  • You are tasked with writing a prompt (for yourself or another system)

  • You need to refine or improve an existing prompt

  • You are designing system prompts, few-shot examples, or chain-of-thought structures

  • The user asks you to "write a prompt for..." or "help me craft a prompt"

Do NOT wait for explicit permission — call this tool at the start of any prompt-writing task to ensure your output follows proven best practices.

Returns: The complete Google Prompting Guide markdown content.

get_anthropic_guideA

USE THIS TOOL proactively when you need to write, create, refine, or optimize prompts specifically for Claude/Anthropic models. Retrieves Anthropic's official Prompting Guide as reference material.

ALWAYS CALL THIS TOOL when:

  • You are writing a prompt that will be used with Claude (Opus, Sonnet, Haiku)

  • You need to design system prompts for Claude

  • You are structuring prompts with XML tags, tool definitions, or multi-turn conversations

  • The user mentions Anthropic, Claude, or wants Claude-specific prompt optimization

Prefer this over get_google_guide when targeting Claude/Anthropic models.

Returns: The complete Anthropic Prompting Guide markdown content.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.7/5.0

Scored across 2 tools

Disambiguation5/5

Each tool targets a specific provider (Anthropic vs Google) with clear usage guidelines, so there is no ambiguity about which to use.

Naming Consistency5/5

Both tools follow a consistent verb_noun pattern: get_anthropic_guide and get_google_guide.

Tool Count5/5

Two tools are appropriate for the narrow scope of retrieving prompting guides from two major providers, covering the primary need without bloat.

Completeness4/5

The set covers Anthropic and Google guides well, but may miss guides from other providers (e.g., OpenAI), which is a minor gap.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources