PromptBin
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@PromptBin list my saved prompts"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
PromptBin - MCP Server Example
The easiest way to run a Model Context Protocol (MCP) server with full prompt management.
Setup
1. Install and Configure
# Install PromptBin
pip install promptbin
# Install Dev Tunnels CLI (optional, for public sharing)
promptbin-install-tunnel
# Authenticate with Dev Tunnels (optional, one-time setup)
devtunnel user login -g
# Verify setup
promptbin-setup2. Add to Your AI Client
Claude Desktop - Add to Settings β Developer β Edit Config:
{
"mcpServers": {
"promptbin": {
"type": "stdio",
"command": "uvx",
"args": ["promptbin"]
}
}
}3. Start Using
That's it! PromptBin is now running:
Web UI:
http://localhost:5001- Manage and create promptsMCP Server: Ready for AI tool connections
Related MCP server: Prompt Registry MCP
Key Features
π Easy setup: One command to get started
π MCP integration: Full Model Context Protocol support
π Web interface: Auto-launching prompt management UI
π Secure sharing: Share prompts via Dev Tunnels with rate limiting
π Local-first: Your data stays private, stored locally
βοΈ Production-ready: Comprehensive logging and error handling
Usage Options
# Default: Run both MCP server and web interface
promptbin
# Run only MCP server (for AI tools)
promptbin --mcp
# Run only web interface (standalone)
promptbin --web
# Custom port and options
promptbin --port 8080 --data-dir ~/my-promptsDevelopment Mode
For development or customization:
git clone https://github.com/ianphil/promptbin
cd promptbin
uv sync
uv run promptbinWhat You Get
β Complete MCP server - Full Model Context Protocol implementation
β Auto-launching web UI - Prompt management interface at localhost:5000
β AI tool integration - Works with Claude Desktop, ChatGPT Desktop
β Secure sharing - Share prompts publicly via Dev Tunnels
β File-based storage - No database required, organized by category
β Cross-platform - Windows, macOS, Linux support
β Production-ready - Rate limiting, logging, graceful shutdown
Advanced Features
Secure Public Sharing (Optional)
PromptBin includes Microsoft Dev Tunnels integration for sharing prompts publicly:
# Install Dev Tunnels CLI
uv run promptbin-install-tunnel
# Authenticate (one-time setup)
devtunnel user login -g
# Start PromptBin, then click "Start Tunnel" in the footerNow your shared prompts get public URLs that work from anywhere. Includes automatic rate limiting and security protections.
For detailed setup instructions, see TUNNELS.md.
System Validation
# Check if your system is ready
uv run promptbin-setupAdd MCP Server to ChatGPT & Claude (Desktop)
Prereq: Install PromptBin first (pip install promptbin). The apps will launch the MCP server themselves.
ChatGPT Desktop (Mac/Windows):
Open Settings β Developer β Model Context Protocol.
Click "Add Server".
Name: PromptBin
Command:
uvxArgs:
promptbin
Claude Desktop (Mac/Windows):
Open Settings β Developer β Edit Config
"PromptBin": {
"command": "uvx",
"args": ["promptbin"]
}Notes:
After adding, you can list/search prompts via the PromptBin MCP tools. The MCP server also starts the local web UI on
http://127.0.0.1:<port>.If
uvxis not available, ensure you haveuvinstalled and usepip install promptbininstead.
Available Tools
1 toolsearch_promptsB
Search prompts by content, title, tags, or description
Inputs: query (required), limit, category. Returns: result
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelogβ¦
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion or overlap. The single tool's purpose is clearly distinct by default.
The sole tool uses a clear verb_noun pattern: search_prompts. This is consistent, predictable, and matches its function.
A single search-only tool feels far too thin for a server named PromptBin, which implies a prompt storage and management domain. Even a minimal prompt management server would need at least creation and listing capabilities.
The server exposes only search, with no way to add, update, delete, or retrieve prompts directly. This is severely incomplete for the apparent prompt-management scope and would cause agent failures for any non-search workflow.
Maintenance
Related MCP Connectors
Your prompt library in any MCP client: list, fetch, save and version prompt templates.
Team prompt library with version control and reviews. Save, search and reuse prompts via MCP.
Self-hosted AI prompt library: prompts, collections, tags, teams, chains. 29 MCP tools for agents.
Generate contextual prompts and reusable agent skills, evaluate prompts with the 16-dimension Prompt Score, and manage saved work in PromptDrive. Twelve MCP tools also provide authorized access to private Memory for source-grounded answers. Connect over Streamable HTTP using OAuth 2.1 and PKCE. Generation consumes account quota and automatically saves successful results; Memory access follows account permissions and plan limits.
Related MCP Servers
- AlicenseAqualityDmaintenanceA Model Context Protocol server for managing prompt templates as markdown files with YAML frontmatter, allowing users and LLMs to easily add, retrieve, and manage prompts.522 npm17MIT
- AlicenseNot gradedqualityCmaintenanceA lightweight, file-based server for managing and serving personal prompt templates with variable substitution support via the Model Context Protocol. It allows users to store, update, and organize prompts in a local directory through integrated MCP tools and CLI assistants.18 npm7MIT
- AlicenseNot gradedqualityDmaintenanceEnables 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
- AlicenseAqualityDmaintenanceEnables storage, versioning, and retrieval of prompts with rich metadata via MCP tools, supporting stdio and SSE transports.310 npm3ISC