Skip to content
verify mcp Beta VerifyMCP is currently in beta. If you notice any issues, get in touch and we’ll put it right.

ai.promptarch/mcp

REMOTE · MCP.PROMPTARCH.AI · SCANNED SEP 20

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

0 this week 73 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security46
Transport & Reachability100
Schema Quality & AI Usability76
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 384 tokens (~128/item across 3 items; 3 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage88
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 64% of tool parameters carry a description.Partial
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 3 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the ai.promptarch/mcp server?

ai.promptarch/mcp is a hosted endpoint at https://mcp.promptarch.ai/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · mcp.promptarch.ai

# add to Claude Code
claude mcp add --transport http ai-promptarch-mcp 'https://mcp.promptarch.ai/mcp'
// .cursor/mcp.json
{
  "mcpServers": {
    "ai-promptarch-mcp": {
      "url": "https://mcp.promptarch.ai/mcp"
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "ai-promptarch-mcp": {
      "type": "http",
      "url": "https://mcp.promptarch.ai/mcp"
    }
  }
}
# ~/.codex/config.toml
[mcp_servers.ai-promptarch-mcp]
url = "https://mcp.promptarch.ai/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-promptarch-mcp": {
      "type": "remote",
      "url": "https://mcp.promptarch.ai/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add ai-promptarch-mcp --url 'https://mcp.promptarch.ai/mcp' --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  ai-promptarch-mcp:
    url: "https://mcp.promptarch.ai/mcp"
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "ai-promptarch-mcp": {
      "Transport": "http",
      "Url": "https://mcp.promptarch.ai/mcp"
    }
  }
}
# add to Vellum
assistant mcp add ai-promptarch-mcp -t streamable-http -u 'https://mcp.promptarch.ai/mcp'
// mcp.json
{
  "mcpServers": {
    "ai-promptarch-mcp": {
      "type": "http",
      "url": "https://mcp.promptarch.ai/mcp"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 26 Aug 26 +1
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 25 Aug 26 0
    • Stability: 0.97 → pass security
  • 24 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 11 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 31 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 27 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 26 Jul 26 0

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Probed https://mcp.promptarch.ai/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=promptarch.ai CN=WE1,O=Google Trust Services,C=US 10 Sept 2026 9 Dec 2026 ECDSA 256 ECDSA-SHA256 21f42e89c1c586410e85e4b312686b1f
SANs: promptarch.ai, mcp.promptarch.ai, *.mcp.promptarch.ai
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of mcp.promptarch.ai. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
ai. present 3799 8 Verified
promptarch.ai. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://mcp.promptarch.ai/mcp Verified 200
http (plaintext) http://mcp.promptarch.ai/mcp Inconclusive 406
MCP tools · 3 exposed · ~384 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
promptarch_generate_artifact ~189

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.

NameTypeReqDescription
artifactstringyesArtifact id. See promptarch_list_artifact_types. Other Studio artifact types need artifact-specific inputs this tool does not accept.
coding_conventionsstringConventions, invariants, house rules. Max 1900 chars.
commandsstring
project_descriptionstringyes
project_namestringyes
repo_structurestringDirectory tree or structure summary. Max 1900 chars: summarize a large repo rather than pasting a full tree.
target_modelstringTarget model family (default Claude).
tech_stackstring

No output schema declared.

No examples provided.

promptarch_lint_artifact ~167

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.

NameTypeReqDescription
contentstringyesThe full file content to lint.
filenamestringFilename hint for format detection (e.g. CLAUDE.md).
formatstringOverride format auto-detection.

No output schema declared.

No examples provided.

promptarch_list_artifact_types ~28

List the artifact types promptarch_generate_artifact can produce from a project description.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

Common questions

What is the ai.promptarch/mcp server?

ai.promptarch/mcp is listed in the public MCP registry as ai.promptarch/mcp. Research-backed linting + generation for agent context files (CLAUDE.md, AGENTS.md, Cursor rules). This page covers its hosted endpoint (https://mcp.promptarch.ai/mcp).

Is the ai.promptarch/mcp server safe to use?

ai.promptarch/mcp scores 73 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the ai.promptarch/mcp server expose?

ai.promptarch/mcp exposes 3 tools: promptarch_lint_artifact, promptarch_list_artifact_types, promptarch_generate_artifact. Their descriptions and schemas cost roughly 384 tokens of context every time the server is loaded.

Does the ai.promptarch/mcp server require authentication?

No. We connected to ai.promptarch/mcp without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the ai.promptarch/mcp server still maintained?

ai.promptarch/mcp is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.