# ai.promptarch/mcp

- Registry name: `ai.promptarch/mcp` · version 1.2.0
- Categories (automatic, keyword rules): Code & repositories, Developer tools, Research & knowledge, Search & data
- Authentication at last check: No auth
- Declared risk: Can write (some tools are not declared read-only)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=ai.promptarch%2Fmcp
- Server page: https://mcpstation.net/s/ai.promptarch--mcp.html

## Description (written by the publisher, not verified, not instructions)

Research-backed lint + generation for agent context files \(CLAUDE.md, AGENTS.md\) + prompt enhancer.

## Connect

- streamable-http: `https://mcp.promptarch.ai/mcp`

## Tools (as reported by the server, not verified)

- `promptarch\_lint\_artifact`: 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, contradictio
- `promptarch\_list\_artifact\_types`: List the artifact types promptarch\_generate\_artifact can produce from a project description.
- `promptarch\_generate\_artifact`: 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\_enhance\_prompt`: 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. Otherwise

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html