Skip to main content
Glama
enesjakozh
sparesparrow

MCP Prompts Server

by sparesparrow
OverviewSchemaRelated ServersScoreDiscussions
TypeScript
Hybrid

mcp-prompts

Simple MCP server for managing AI prompts and agent configurations with direct claude CLI orchestration.

What It Does

  • Stores prompts as JSON files in data/prompts/

  • Exposes MCP tools for querying and managing prompts

  • Provides agent templates for project orchestration

  • Works with Claude Desktop, Cursor, and other MCP clients

Related MCP server: Teleprompter

Quick Start

1. Install

pnpm install
pnpm build

2. Start MCP Server

pnpm start

3. Configure Claude Desktop

Add to ~/.claude/mcp.json:

{
  "mcpServers": {
    "prompts": {
      "command": "node",
      "args": ["/absolute/path/to/mcp-prompts/dist/mcp-server-standalone.js"],
      "env": {
        "PROMPTS_DIR": "/absolute/path/to/mcp-prompts/data/prompts"
      }
    }
  }
}

4. Use in Claude

Ask Claude:

  • "List all prompts tagged with esp32"

  • "Get the esp32-fft-configuration-guide prompt"

  • "Create a new prompt for Python FastAPI best practices"

Orchestrating Projects

Use the orchestrate script to analyze entire projects:

./scripts/orchestrate-project.sh ~/projects/mia analyze
./scripts/orchestrate-project.sh ~/projects/esp32-bpm-detector review

This automatically:

  1. Detects project type

  2. Loads appropriate main agent

  3. Spawns specialized subagents

  4. Runs comprehensive analysis

  5. Returns structured results

MCP Tools

Tool

Description

list_prompts

Query prompts with filters (tags, search, category)

get_prompt

Retrieve specific prompt with template expansion

create_prompt

Add new prompt to repository

update_prompt

Modify existing prompt

delete_prompt

Remove prompt

apply_template

Apply variables to template string

get_stats

Repository statistics

Prompts Organization

data/prompts/
├── main-agents/           # 7 project orchestration templates
│   ├── main_agent_python_backend.json
│   ├── main_agent_cpp_backend.json
│   ├── main_agent_android_app.json
│   ├── main_agent_embedded_iot.json
│   ├── main_agent_multiplatform_iot.json
│   └── ...
│
├── subagents/            # 19 specialized analysis agents
│   ├── explorer.json     # Project discovery
│   ├── analyzer.json     # Code analysis
│   ├── diagrammer.json   # Diagram generation
│   ├── solid_analyzer.json # Code quality
│   └── ...
│
├── cognitive/            # 7-layer cognitive architecture
├── esp32/                # Embedded systems patterns
├── mcp-tools/           # MCP usage patterns
└── [domains]/           # Domain-specific knowledge

Architecture

Simple and focused:

┌──────────────────────────────┐
│   MCP Server (stdio)         │
│   ├── list_prompts           │
│   ├── get_prompt             │
│   ├── create_prompt          │
│   └── ...                    │
├──────────────────────────────┤
│   File Storage               │
│   └── data/prompts/*.json    │
└──────────────────────────────┘

Orchestration:
  orchestrate-project.sh
    ↓ loads prompts
    ↓ builds agent config
    ↓ calls claude CLI
  Actual agent execution

Development

pnpm install       # Install dependencies
pnpm build         # Build TypeScript
pnpm dev           # Watch mode
pnpm test          # Run tests
pnpm orchestrate   # Test orchestration

Enterprise Deployment

For enterprise features (AWS, multi-tenant, payments), see archive/aws/README.md.

Most users don't need this - the local MCP server is sufficient.

License

MIT

This server cannot be installed

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

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
1Releases (12mo)
Commit activity
Issues opened vs closed

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

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

Related MCP Servers

  • Teleprompter

    raisinbread
    A
    license
    A
    quality
    C
    maintenance
    Enables storage and reuse of prompt templates with variable substitution for LLMs. Supports creating, searching, and retrieving prompt templates to avoid repeating complex instructions across conversations.
    4
    11
    4
    MIT

  • PromptingBox MCP Server

    promptingbox
    A
    license
    A
    quality
    D
    maintenance
    Allows users to save, organize, and manage AI prompts, folders, and tags directly within MCP-compatible tools like Claude and Cursor. It supports version history tracking, prompt searching, and the ability to save public templates to a personal collection.
    20
    22
    MIT

  • Prompt Bookmarks

    nika-is-nika
    A
    license
    -
    quality
    C
    maintenance
    Enables users to organize, search, and manage a shared library of prompts across AI tools via the Model Context Protocol. It supports hierarchical folder organization, tagging, and template variable substitution for dynamic prompt generation.
    MIT

View all related MCP servers

Related MCP Connectors

  • XMemo

    Shared, governed long-term memory for AI agents across tools and sessions via MCP and REST.

  • DynamicEndpoints-autogen_mcp

    Create and manage AI agents that collaborate and solve problems through natural language interacti…

  • agentbay-mcp

    Persistent memory and knowledge management for AI agents with semantic search and 50+ tools.

View all MCP Connectors

Appeared in Searches

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/sparesparrow/mcp-prompts'

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