MCP server
Promptarch Official
ai.promptarch/mcp
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Research-backed lint + generation for agent context files (CLAUDE.md, AGENTS.md) + prompt enhancer.
Working at last checkVerified publisher: promptarch.aiAbout 1,194 tokens per request once connected4 tools
https://mcp.promptarch.ai/mcp
At a glance
- Type
- MCP server
- Publisher
- promptarch.ai (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 4
- Token cost
- About 1,194 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http promptarch https://mcp.promptarch.ai/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.promptarch] url = "https://mcp.promptarch.ai/mcp"
Gemini CLI
{"mcpServers":{"promptarch":{"httpUrl":"https://mcp.promptarch.ai/mcp"}}}
Cursor
{"mcpServers":{"promptarch":{"url":"https://mcp.promptarch.ai/mcp"}}}
VS Code
{"servers":{"promptarch":{"type":"http","url":"https://mcp.promptarch.ai/mcp"}}}
Antigravity
agy mcp add promptarch https://mcp.promptarch.ai/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"promptarch","server_url":"https://mcp.promptarch.ai/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"promptarch","server_url":"https://mcp.promptarch.ai/mcp"}
Tools
promptarch_enhance_prompt~461 tokens
Enhance a raw prompt with PromptArch's Prompt Enhancer: PromptArch asks 1-3 targeted clarifying questions, then rewrites the prompt from the person's answers, optimized for target_model. If this client supports MCP elicitation, the questions appear to the person as a form inside this call. Otherwisepromptarch_generate_artifact~367 tokens
Generate an AI agent context artifact (e.g. context_pack, claude_md) from a project description. Requires a PromptArch API key configured as an Authorization: Bearer pk_... header on this MCP server. Consumes credits.promptarch_lint_artifact~294 tokens
Lint an AI agent context file (CLAUDE.md, .claude/rules/ files, AGENTS.md, Cursor rules, Copilot instructions, memory files) with PromptArch's deterministic linter: ~30 research-backed rule families covering current-model anti-patterns (tool-forcing, reasoning-echo, sycophancy triggers, contradictiopromptarch_list_artifact_types~72 tokens
List the artifact types promptarch_generate_artifact can produce from a project description.
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