PromptOT
Manage, version, and publish LLM prompts via PromptOT. Build structured prompts from blocks, add variables, save drafts, publish versions, and deliver via API — all from chat.
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MCP Server
PromptOT MCP Server
Use PromptOT directly from Claude Desktop, Cursor, Codex CLI, ChatGPT, claude.ai, and any other Model Context Protocol-compatible AI tool. 23 MCP tools cover the full prompt lifecycle: list, create, edit, version, publish, and inspect prompts from inside your AI assistant.
What is MCP?
The Model Context Protocol is an open standard for connecting AI assistants to external tools and data sources. PromptOT's MCP server exposes our prompt management API as a set of typed tools that any MCP-compatible client can call. Once installed, the AI model can list your prompts, edit blocks, save draft versions, publish to production, and run test cases — all through normal conversation.
The server ships in two forms: a local stdio binary distributed via npm (npx @prompt-ot/mcp) for desktop clients, and a hosted HTTP transport at mcp.promptot.com for browser-based clients that authenticate via OAuth.
Quick start
01
Generate an MCP key
From your dashboard, open any project's API Keys page and click "Generate MCP Key" in the MCP Server card. Optionally enable AI features if you want playground/evals/AI rewrites.
02
Paste the install snippet
Click your client (Claude Desktop, Cursor, Codex CLI, etc.) and copy the snippet. Paste it into your client's MCP config file at the path shown.
03
Restart and ask your AI
Restart your AI client. The PromptOT tools become available automatically. Try "List my PromptOT prompts" or "Create a new customer support prompt".
Generate MCP key
Reference
Install
Step-by-step install snippets for all 8 supported clients: Claude Desktop, Cursor, Codex CLI, ChatGPT, claude.ai, Windsurf, Zed, and any generic stdio client.
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Tools reference
Full catalog of all 23 MCP tools with input parameters, required scopes, and one-line descriptions. Grouped by area: prompts, blocks, variables, versions, test cases.
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Scopes
The permission vocabulary that gates MCP API calls. Read scopes vs write scopes vs AI scopes, plus the default MCP key preset and the AI features opt-in.
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OAuth flow
How browser-based clients (claude.ai, ChatGPT) authenticate against the hosted MCP server at mcp.promptot.com via OAuth 2.1 + PKCE. Discovery endpoints, consent flow, token exchange.
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Troubleshooting
Common errors and how to fix them: 401 unauthorized, 403 insufficient scope, AI credit exhausted, rate limits, missing tools in Claude Desktop, truncated outputs.
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See also: REST API reference for the underlying HTTP endpoints.
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