mcp
Research-backed linting + generation for agent context files (CLAUDE.md, AGENTS.md, Cursor rules).
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"mcp": {
"url": "https://mcp.promptarch.ai/mcp"
}
}
}Remote-Endpunkte
https://mcp.promptarch.ai/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (3)
🟢promptarch_lint_artifact(content, format, filename)
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.
Eingabe-Schema
{
"type": "object",
"properties": {
"content": {
"type": "string",
"description": "The full file content to lint."
},
"format": {
"description": "Override format auto-detection.",
"type": "string",
"enum": [
"claude_md",
"agents_md",
"cursor_mdc",
"copilot_instructions",
"memory_file"
]
},
"filename": {
"description": "Filename hint for format detection (e.g. CLAUDE.md).",
"type": "string"
}
},
"required": [
"content"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢promptarch_list_artifact_types
List the artifact types promptarch_generate_artifact can produce from a project description.
Eingabe-Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪promptarch_generate_artifact(artifact, project_name, project_description, tech_stack, repo_structure, ...)
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.
Eingabe-Schema
{
"type": "object",
"properties": {
"artifact": {
"type": "string",
"enum": [
"context_pack",
"claude_md",
"agents_md",
"cursor_rule"
],
"description": "Artifact id. See promptarch_list_artifact_types. Other Studio artifact types need artifact-specific inputs this tool does not accept."
},
"project_name": {
"type": "string",
"maxLength": 1900
},
"project_description": {
"type": "string",
"maxLength": 1900
},
"tech_stack": {
"type": "string",
"maxLength": 1900
},
"repo_structure": {
"description": "Directory tree or structure summary. Max 1900 chars: summarize a large repo rather than pasting a full tree.",
"type": "string",
"maxLength": 1900
},
"commands": {
"type": "string",
"maxLength": 1900
},
"coding_conventions": {
"description": "Conventions, invariants, house rules. Max 1900 chars.",
"type": "string",
"maxLength": 1900
},
"target_model": {
"description": "Target model family (default Claude).",
"type": "string",
"maxLength": 100
}
},
"required": [
"artifact",
"project_name",
"project_description"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Community
Nachweis