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PromptOT

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Manage, version, and publish LLM prompts via PromptOT. Build structured prompts from blocks, add variables, save drafts, publish versions, and deliver via API โ€” all from chat.

๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅโœ“ VerifiedFreeAdvanced setup

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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 โ€” 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.

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.

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.

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.

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.

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.

See also: REST API reference for the underlying HTTP endpoints.