Skip to main content
Glama
esreekarreddy

MCP Prompt Library


Why This Exists

AI assistants are powerful, but they're only as good as the prompts you give them. Most developers:

  • Repeat the same prompts across projects

  • Forget effective prompts they used before

  • Struggle to compose complex multi-step workflows

  • Lack consistency in AI-assisted development patterns

MCP Prompt Library solves this by providing:

What

How

110+ battle-tested prompts

Organized by development phase (planning, development, quality, operations, performance, maintenance, devex, security, evals)

MCP server with 15 tools

Direct integration with Claude, OpenCode, Cursor, and any MCP-compatible client

Smart suggestions

AI recommends prompts based on what you're doing

Workflow chains

Multi-step guided processes for features, bugs, refactoring, security

Composable snippets

Mix modifiers like ultrathink + security-first on any prompt


Related MCP server: Harness Engineering MCP

Quick Start

📦 Usage as npm Package (Best for Developers)

Install the library to use prompts programmatically in your own tools:

npm install @esreekarreddy/ai-prompts
import {
  getPrompt,
  searchPrompts,
  composePrompts,
} from "@esreekarreddy/ai-prompts";

// 1. Get a specific prompt
const prd = getPrompt("prd-generator");
console.log(prd.content);

// 2. Search for prompts
const securityPrompts = searchPrompts("security");

// 3. Compose a custom prompt with modifiers
const complexTask = composePrompts([
  "prd-generator",
  "ultrathink",
  "security-first",
]);

🖥️ Usage as MCP Server (Best for Cursor/Claude)

1. Clone & Build

git clone https://github.com/esreekarreddy/mcp-prompt-library.git
cd mcp-prompt-library/mcp-server
npm install && npm run build

2. Configure Your AI Tool

See Integrations for your specific tool (OpenCode, Claude Desktop, Cursor).

3. Start Using

Once connected, your AI assistant has access to all prompts:

"suggest prompts for what I'm doing"
"get the PRD generator prompt"
"start the new-feature chain"
"compose prd-generator with ultrathink"

Features

Smart Intent Detection

Tell your AI what you're doing, and it suggests the right prompts:

You Say

It Suggests

"I need to build a new feature"

PRD generator, new-feature chain

"Stuck on a bug"

Deep debugger, debugging skill, bug-fix chain

"Security review before launch"

Security audit, security-hardening chain

"This code is a mess"

Code cleaner, refactoring skill, refactor chain

"Complex architecture decision"

Megathink modifier, senior-engineer persona

Workflow Chains

Multi-step guided workflows for complex tasks:

Chain

Steps

Use Case

new-feature

7

From PRD to deployment

bug-fix

7

Systematic debugging to resolution

refactor

6

Safe refactoring with verification

security-hardening

7

Comprehensive security review

production-launch

7

Pre-launch checklist to deployment

# Start a chain
node dist/cli.js chains           # List available chains
start_chain chain="new-feature"   # Via MCP tool

Composable Prompts

Combine any prompts with modifiers:

# CLI
node dist/cli.js compose prd-generator ultrathink security-first

# MCP Tool
compose_prompt items=["prd-generator", "ultrathink", "security-first"]

Quick Modifiers

Instant prompt enhancers:

Modifier

Effect

ultrathink

Deep analysis with extended reasoning

megathink

Maximum thinking for architecture decisions

critique

Harsh, unfiltered feedback mode

debug

Systematic debugging approach

plan

Planning mode - no code yet

secure

Security-focused review

simplify

Explain like I'm 12


MCP Server

The MCP (Model Context Protocol) server exposes 15 tools to your AI assistant:

Library Tools

Tool

Purpose

get_prompt

Fetch any prompt by name (fuzzy matching works)

search_prompts

Search library by keywords

suggest_prompts

Smart suggestions based on your intent

enhance_prompt

Analyze request and suggest approach + relevant prompts

save_to_library

Save new prompts to the library

library_stats

Library statistics

random_prompt

Random prompt for inspiration

Chain Tools

Tool

Purpose

list_chains

View available workflow chains

start_chain

Begin a multi-step workflow

chain_next

Advance to next step

chain_status

View workflow progress

chain_step

Jump to specific step

Utility Tools

Tool

Purpose

compose_prompt

Combine multiple prompts

quick_prompt

Instant one-liner modifiers

detect_context

Analyze project → suggest stack-specific prompts

How It Works

You: "Build a user authentication system"
        ↓
AI calls: suggest_prompts("Build a user authentication system")
        ↓
Returns: security-audit, new-feature chain, auth patterns
        ↓
AI calls: start_chain("new-feature")
        ↓
AI guides you through: PRD → Architecture → Implementation → Testing → Deploy

Library Contents

110+ curated resources across 8 categories:

mcp-prompt-library/
├── prompts/          (38) - Copy-paste ready prompts
│   ├── planning/          PRD generator, scope killer, architecture
│   ├── development/       Debugger, code cleaner, tech debt
│   ├── quality/           Security audit, PR reviewer, changelog generator
│   ├── operations/        Observability, runbooks, incident helper, postmortem
│   ├── performance/       Profiler, load test planner, optimization guide
│   ├── maintenance/       Dependency upgrader, migration planner, tech spec
│   ├── devex/             Repo onboarding, CI fixer, codebase explainer
│   ├── security/          Prompt injection audit
│   ├── evals/             Response grader, consistency checker, quality rubric
│   ├── design/            Design system extractor
│   ├── analysis/          Deep debugger
│   ├── agentic/           Context manager, agentic loop, test-driven fix
│   └── system/            Master system prompt for AI setup
├── skills/           (8)  - AI behavior definitions
│   └── code-review, debugging, testing, refactoring, documentation...
├── instructions/     (18) - Reusable system prompts
│   ├── personas/          Senior engineer, security expert, DevOps, UX
│   ├── standards/         TypeScript, React, Python, Go, Rust, FastAPI, Next.js
│   └── workflows/         TDD, PR review, incident response, feature development
├── templates/        (16) - Project scaffolding
│   ├── claude-md/         CLAUDE.md for Next.js, Python, Node.js, CLI tools
│   ├── cursor-rules/      .cursorrules for various stacks
│   ├── copilot/           GitHub Copilot instructions
│   └── docs/              PRD, ADR, API spec, runbook templates
├── chains/           (5)  - Multi-step workflows
│   └── new-feature, bug-fix, refactor, security-hardening, production-launch
├── snippets/         (21) - Composable modifiers
│   ├── modifiers/         ultrathink, megathink, step-by-step, meta-cot
│   ├── output-formats/    JSON, markdown table, checklist, numbered list
│   ├── constraints/       Security first, MVP only, read-only, no external deps
│   └── safety/            Fact-check, citation-required, uncertainty, injection-guard
├── contexts/         (9)  - Reference documentation
│   ├── stacks/            Next.js 14, FastAPI, Prisma
│   ├── patterns/          MCP server patterns, agentic coding
│   └── guides/            API design, error handling
└── examples/         (3)  - Gold-standard samples
    └── PRDs, architecture docs, code reviews

Integrations

OpenCode

Add to ~/.opencode/config.json:

{
  "mcp": {
    "ai-library": {
      "type": "local",
      "command": [
        "node",
        "/path/to/mcp-prompt-library/mcp-server/dist/index.js"
      ],
      "enabled": true
    }
  }
}

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "ai-library": {
      "command": "node",
      "args": ["/path/to/mcp-prompt-library/mcp-server/dist/index.js"]
    }
  }
}

Cursor

Add to .cursor/mcp.json in your project:

{
  "mcpServers": {
    "ai-library": {
      "command": "node",
      "args": ["/path/to/mcp-prompt-library/mcp-server/dist/index.js"]
    }
  }
}

VS Code + GitHub Copilot

Copy the prompt files to your workspace:

cp -r .github/prompts /path/to/your-project/.github/prompts

CLI Usage

Use the library directly from your terminal:

cd mcp-server

# Get a specific prompt
node dist/cli.js get prd-generator

# Search prompts
node dist/cli.js search "security"

# Get AI-powered suggestions
node dist/cli.js suggest "I need to refactor this messy code"

# Combine prompts
node dist/cli.js compose prd-generator ultrathink step-by-step

# View workflow chains
node dist/cli.js chains

# Library statistics
node dist/cli.js stats

# Random prompt for inspiration
node dist/cli.js random

Development

cd mcp-server

npm install        # Install dependencies
npm run build      # Build TypeScript
npm run test       # Run tests (114 tests)
npm run dev        # Watch mode
npm run typecheck  # Type checking only

Architecture

  • TypeScript - Full type safety

  • Vitest - 114 tests with fast execution

  • Zod - Runtime validation for configs

  • chokidar - Hot-reload when library files change

  • MCP SDK - Model Context Protocol integration


Contributing

See CONTRIBUTING.md for guidelines.

Ideas for contributions:

  • Add prompts that worked well for you

  • Add workflow chains for common tasks

  • Add coding standards for new languages/frameworks

  • Improve existing prompts with better examples


License

MIT - see LICENSE


Acknowledgments

Built with the Model Context Protocol by Anthropic.


A
license - permissive license
-
quality - not tested
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/esreekarreddy/mcp-prompt-library'

If you have feedback or need assistance with the MCP directory API, please join our Discord server