ai.promptarch/mcp
REMOTE · MCP.PROMPTARCH.AI
Research-backed lint + generation for agent context files (CLAUDE.md, AGENTS.md) + prompt enhancer.
Available components
Last scanned (22 hours ago)
Scores higher than 60% of remote servers
Reachable. Last reached 4 Nov 2026.
Category Developer Tools
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
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 2 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS enforcement could not be verified: the plaintext port answered with HTTP 406, which proves neither a plaintext path nor enforcement. View diagnostics → Unverified
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability72
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 634 tokens (~158/item across 4 items; 4 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- 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 Coverage91
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 73% 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 4 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 4 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
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.
- 16 Oct 26 0
- Schema quality: pass → fail ▼ functional
- Tool coverage: 64% → 73% ▲ functional
- Schema quality: good → excellent functional
- Server version: 1.1.2 → 1.2.0 functional
- New tool “promptarch_enhance_prompt” functional
- 28 Sept 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
- 25 Sept 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 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
- 25 Aug 26 0
- Stability: 0.97 → pass security
- 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
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 4 Nov 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 | 1814, 3799 | 8, 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 |
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 →
promptarch_enhance_prompt ~242
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 call once with just `prompt` to get the questions (free), ask the person, and call again with `questions` and `answers`. Never answer the questions yourself. The enhancement costs 5 credits; questions are free. Requires a PromptArch API key configured as an Authorization: Bearer pk_... header on this MCP server.
| Name | Type | Req | Description |
|---|---|---|---|
| answers | object | – | Second call only: the person's own answers, keyed by question id (e.g. {"q1": "..."}). |
| prompt | string | yes | The raw prompt to enhance. |
| questions | array | – | Second call only: the questions JSON exactly as this tool returned it. |
| target_model | string | – | The model the enhanced prompt is for (e.g. Claude Opus 5.5, GPT-5). Default: generic, no model-specific optimization. |
No output schema declared.
No examples provided.
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.
| Name | Type | Req | Description |
|---|---|---|---|
| artifact | string | yes | Artifact id. See promptarch_list_artifact_types. Other Studio artifact types need artifact-specific inputs this tool does not accept. |
| coding_conventions | string | – | Conventions, invariants, house rules. Max 1900 chars. |
| commands | string | – | – |
| project_description | string | yes | – |
| project_name | string | yes | – |
| repo_structure | string | – | Directory tree or structure summary. Max 1900 chars: summarize a large repo rather than pasting a full tree. |
| target_model | string | – | Target model family (default Claude). |
| tech_stack | string | – | – |
No output schema declared.
No examples provided.
promptarch_lint_artifact ~175
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, 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.
| Name | Type | Req | Description |
|---|---|---|---|
| content | string | yes | The full file content to lint. |
| filename | string | – | Filename hint for format detection (e.g. CLAUDE.md). |
| format | string | – | Override 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.
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
claude mcp add --transport http ai-promptarch-mcp 'https://mcp.promptarch.ai/mcp'
What is the ai.promptarch/mcp server?
ai.promptarch/mcp is listed in the public MCP registry as ai.promptarch/mcp. Research-backed lint + generation for agent context files (CLAUDE.md, AGENTS.md) + prompt enhancer. 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 4 tools: promptarch_lint_artifact, promptarch_list_artifact_types, promptarch_generate_artifact, promptarch_enhance_prompt. Their descriptions and schemas cost roughly 634 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 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.