mcpbeat

Promptarch MCP Server

ai.promptarch/mcp
answering

Promptarch is answering right now. Last checked 14 min ago. It exposes 3 tools.

Research-backed linting + generation for agent context files (CLAUDE.md, AGENTS.md, Cursor rules).

Uptime history 40 hours of history
40 hours agonow
100.0%
Uptime 24h
91 of 91 checks
3
Tools
read from the server
971 ms
Response time
average over 24h
open, no key
Access
streamable-http

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.

run in your terminal
claude mcp add mcp --transport http https://mcp.promptarch.ai/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.promptarch.ai/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp]
url = "https://mcp.promptarch.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.promptarch.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.promptarch.ai/mcp"
    }
  }
}

Available tools 3

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

promptarch
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_lint_artifact
Lint an AI agent context file (CLAUDE.md, 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, contradictions), per-tool size budgets, secrets/dangerous commands, and hidden-Unicode injection ("Rules File Backdoor"). Returns grade, 0-100 score, and line-anchored findings. Free: no account or credits needed.
promptarch_list_artifact_types
List the artifact types promptarch_generate_artifact can produce from a project description.

Endpoints

URLTransportStateLatencyChecked
https://mcp.promptarch.ai/mcp streamable-http answering 982 ms 14 min ago

Promptarch — questions

Answers built from our own checks of this server.

What can Promptarch do?
It exposes 3 tools, read directly from the server on our last check. Among them: promptarch_generate_artifact, promptarch_lint_artifact, promptarch_list_artifact_types. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Promptarch working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 971 ms. The bar chart above shows every period we have measured.
How do I connect Promptarch?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Promptarch need an API key?
No. Promptarch completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 3 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Promptarch?
It answers our handshake in 971 ms on average, which is faster than 6% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.