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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "promptarch": {
      "type": "http",
      "url": "https://mcp.promptarch.ai/mcp",
      "headers": {
        "Authorization": "Bearer ${PROMPTARCH_TOKEN}"
      }
    }
  }
}

claude mcp add --transport http promptarch https://mcp.promptarch.ai/mcp --header "Authorization: Bearer ${PROMPTARCH_TOKEN}"

[mcp_servers.promptarch]
url = "https://mcp.promptarch.ai/mcp"
bearer_token_env_var = "PROMPTARCH_TOKEN"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "promptarch": {
      "type": "remote",
      "url": "https://mcp.promptarch.ai/mcp",
      "enabled": true,
      "headers": {
        "Authorization": "Bearer {env:PROMPTARCH_TOKEN}"
      }
    }
  }
}

{
  "mcpServers": {
    "promptarch": {
      "type": "http",
      "url": "https://mcp.promptarch.ai/mcp",
      "headers": {
        "Authorization": "Bearer ${PROMPTARCH_TOKEN}"
      }
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=promptarch&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLnByb21wdGFyY2guYWkvbWNwIiwiaGVhZGVycyI6eyJBdXRob3JpemF0aW9uIjoiQmVhcmVyICR7UFJPTVBUQVJDSF9UT0tFTn0ifX0%3D"
}

{
  "servers": {
    "promptarch": {
      "type": "http",
      "url": "https://mcp.promptarch.ai/mcp",
      "headers": {
        "Authorization": "Bearer ${PROMPTARCH_TOKEN}"
      }
    }
  }
}

{
  "mcpServers": {
    "promptarch": {
      "httpUrl": "https://mcp.promptarch.ai/mcp",
      "headers": {
        "Authorization": "Bearer ${PROMPTARCH_TOKEN}"
      }
    }
  }
}

extensions:
  "promptarch":
    enabled: true
    name: "promptarch"
    type: streamable_http
    uri: "https://mcp.promptarch.ai/mcp"
    headers:
      "Authorization": "Bearer ${PROMPTARCH_TOKEN}"
    timeout: 300

Placeholders to fill from your own secret store: ${PROMPTARCH_TOKEN}. The registry never accepts secret values.

Quality 82 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene79 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
warn
tools.annotationsonly 2 of 4 tools declare readOnlyHint or destructiveHint
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: promptarch_list_artifact_types (destructiveHint, idempotentHint, openWorldHint); promptarch_lint_artifact (destructiveHint, idempotentHint, openWorldHint); promptarch_enhance_prompt (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
pass
tools.token_costabout 1,012 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changes2 tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

4 tools, about 1,012 tokens to load them all · tool set a88b8bb5baec · tools last changed 2026-10-17 · checked 2026-10-19 10:52 UTC

Tool changes

2026-10-17promptarch_enhance_promptadded
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.
2026-10-04promptarch_lint_artifactchangeddescription, input schema
before
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.
after · 100% of words in common
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.

Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 82 / 100

no-repository

provenance55

liveness98

freshness100

hygiene80

+dns-namespace +website +reachable +uptime-95% +updated-3d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://mcp.promptarch.ai/mcp` streamable-http	none	yes	95%	337 ms	2025-11-25	2026-10-19

Tools (4)

`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 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.
`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`read-only	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.
`promptarch_list_artifact_types`read-only	List the artifact types promptarch_generate_artifact can produce from a project description.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "ai.promptarch/mcp",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mcp.promptarch.ai/mcp",
      "type": "streamable-http",
      "headers": [
        {
          "name": "Authorization",
          "isSecret": true,
          "description": "Optional. Bearer pk_… PromptArch API key — required only for promptarch_generate_artifact and promptarch_enhance_prompt; lint and list work without it."
        }
      ]
    }
  ],
  "version": "1.2.0",
  "websiteUrl": "https://promptarch.ai",
  "description": "Research-backed lint + generation for agent context files (CLAUDE.md, AGENTS.md) + prompt enhancer."
}