Your prompt library,
inside your AI tools
Promptmark speaks the Model Context Protocol. Connect Claude Desktop, Cursor, Windsurf, or VS Code and manage your entire prompt library without leaving the conversation.
What is the Model Context Protocol?
A standard for AI tools
MCP is an open protocol that lets AI assistants connect to external data sources and tools. Think of it as a USB port for AI — plug in any compatible service and it just works.
Two-way communication
Your AI assistant can read, create, update, and organize prompts through natural conversation. No copy-pasting. No switching tabs. Just ask.
Secure by design
Promptmark uses OAuth 2.0 with device flow authentication. Your AI tools connect to your account with scoped permissions. Your data stays yours.
29 tools. One conversation.
Every operation you can do in the Promptmark web app, you can do through MCP. Here is what your AI assistant gets access to.
Prompts
Full CRUD for your prompt library
- list_prompts — browse with filters
- search_prompts — find by title or tags
- create_prompt — write new prompts
- get_prompt — read prompt content
- update_prompt — edit any field
- delete_prompt — soft delete
Collections
Organize prompts into groups
- list_collections — see all groups
- create_collection — make new groups
- get_collection — view with prompts
- update_collection — rename or edit
- delete_collection — remove groups
- assign_prompt_to_collection — move prompts
Templates
Render prompts with variables
- get_prompt_schema — view variable definitions
- render_prompt — fill in template values
- validate_prompt_inputs — check before rendering
Version history
Track every change
- get_prompt_versions — full edit history
- get_prompt_version — view a specific snapshot
- restore_prompt_version — roll back changes
Captured responses
Save and review AI outputs
- capture_response — save a model reply
- list_captured_responses — browse saved outputs
- get_captured_response — read full content
- delete_captured_response — remove saved output
Tags, remixes, and safety
Organize, fork, and scan
- list_tags — see all tags in use
- rename_tag — bulk rename across prompts
- list_remixes — view forked prompts
- acknowledge_scan — resolve safety flags
Talk to your prompt library
With MCP, managing prompts feels like a conversation. Here are real things you can say to your AI assistant.
"Create a prompt called 'Code Reviewer' that checks for security issues and code style."
"Show me all my prompts tagged 'production' in the 'DevOps' collection."
"Render my 'Email Draft' template with tone='friendly' and recipient='engineering team'."
"What changed in my 'System Prompt' since last week? Restore version 3 if it looks better."
"Move all prompts tagged 'deprecated' out of the 'Active' collection."
Works with the tools you already use
Any MCP-compatible client can connect to Promptmark. These are the ones we have tested and support today.
Claude Desktop
Anthropic's desktop app with built-in MCP support. The gold standard for MCP integration.
anthropic.comCursor
AI-first code editor. Connect Promptmark as an MCP server in your workspace settings.
cursor.comWindsurf
AI code editor by Codeium. Add Promptmark to your MCP configuration for prompt access.
windsurf.comVS Code
Use Cline or Continue extensions to connect MCP servers. Works with any VS Code fork.
code.visualstudio.comZed
High-performance editor with native MCP support. Add Promptmark in your extension settings.
zed.devAny MCP client
Promptmark implements the full MCP specification. Any compliant client can connect.
promptmark.aiConnect in three steps
Create your account
Sign up with Civic Auth. Your personal prompt database is created instantly.
Configure your MCP client
Add the Promptmark MCP server URL to your AI tool's configuration. Authenticate with device flow.
Start talking to your prompts
Ask your AI assistant to create, find, or render prompts. All 29 tools are available immediately.
Manage prompts from your AI assistant
Free during beta. 29 MCP tools. Connect any compatible client.
Create your free account