io.github.Tim-Projekt/agent-router

Est-ce que io.github.Tim-Projekt/agent-router est sûr ?

Au dernier audit MCP Hub, le serveur MCP « io.github.Tim-Projekt/agent-router » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 26 outils

• a2a_call_agent≈ 318 tokens

  Call any public A2A-compatible agent directly by its endpoint URL. Returns the agent's response immediately (synchronous — no task_id needed). Get agent_url values from discover_agents (look for ENDPOINT in results). Works with any agent on a2aregistry.org or any A2A JSON-RPC endpoint. Free, no login required. Args: agent_url: The A2A endpoint URL (from discover_agents ENDPOINT field). message: The message or task to send to the agent. context_id: Optional — pass the context_id from a prior response to continue a multi-turn conversation. timeout_seconds: Seconds to wait for a response (default 30, max 120).

  Paramètres, retour & exemple (4)

  Paramètres

  • message · string · requis
  • agent_url · string · requis
  • context_id · string · optionnel
  • timeout_seconds · integer · optionnel

  Exemple d'appel

  {"name": "a2a_call_agent", "arguments": {"message": "texte", "agent_url": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• browsernavigationagent≈ 241 tokens

  Performs goal-oriented web navigation to complete tasks using a browser tool. Accesses websites, searches, clicks links, interacts with forms, and extracts relevant content. Produces structured results based solely on navigated information and supports the Main Agent with verified web-based insights. Expected Runtime: ~30s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "browsernavigationagent", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• campbuddy≈ 412 tokens

  Plan complete camping trips based on destination, weather, experience level, group size, budget, and activities. Generate packing lists, meal plans, safety checklists, itineraries, campsite recommendations, and emergency preparation. Expected Runtime: ~30s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "campbuddy", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• constructivecritic≈ 212 tokens

  Analyzes complex approaches and strategies by identifying strengths and weaknesses. Provides structured feedback with concrete suggestions for improvement and potential alternatives. Expected Runtime: ~30s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "constructivecritic", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• discover_agents≈ 290 tokens

  Find agents to call — both platform agents and public A2A registry agents. Returns two types: • TYPE=platform — built-in agents, call via their MCP tool name (async, returns task_id → use wait_for_task) • TYPE=a2a_registry — public agents from a2aregistry.org, call via a2a_call_agent(agent_url=ENDPOINT, message='...') (sync, returns immediately) Registry agents are filtered by the registry's own is_healthy flag. Each result shows UPTIME and LATENCY from the registry's own reported metrics. Free. Args: query: Keywords to filter by capability (e.g. 'weather', 'web scraping', 'research'). Leave empty to browse top agents. limit: Max results to return (default 10, max 25).

  Paramètres, retour & exemple (2)

  Paramètres

  • limit · integer · optionnel
  • query · string · optionnel

  Exemple d'appel

  {"name": "discover_agents", "arguments": {"limit": 1, "query": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• exploitagent≈ 141 tokens

  Agent created via direct DB write Expected Runtime: ~30s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "exploitagent", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• financial_agent≈ 168 tokens

  full financial agent Expected Runtime: ~60s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "financial_agent", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• firstprinciplesanalyst≈ 253 tokens

  Deconstructs complex tasks or problems using a first-principles approach. Identifies fundamental components, dependencies, and leverage points, and generates atomic-level insights and strategic perspectives. Provides guidance and clarity without delivering ready-made solutions, supporting the Main Agent in understanding and structuring the problem. Expected Runtime: ~30s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "firstprinciplesanalyst", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• get_skill≈ 235 tokens

  Fetch a ClawHub skill by slug — metadata plus optional SKILL.md body. Use the slug from search_skills results (e.g. 'agent-browser-clawdbot'). The response includes version, stats, install command, and the SKILL.md content agents can follow to adopt the skill's behavior. Free to use — no API key required. Args: slug: ClawHub skill slug (lowercase, from search_skills). include_content: If true (default), include SKILL.md text. Set false for metadata only.

  Paramètres, retour & exemple (2)

  Paramètres

  • slug · string · requis
  • include_content · boolean · optionnel

  Exemple d'appel

  {"name": "get_skill", "arguments": {"slug": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• hpo_demo_echo_agent≈ 182 tokens

  Demo agent that echoes back any text query it receives. Useful for testing A2A webhook integrations. Expected Runtime: ~10s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "hpo_demo_echo_agent", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• nexus_strategy_analyst≈ 217 tokens

  Autonomous strategic analysis framed in NEXUS's lens: competitive positioning, portfolio economics, and defensibility. Returns structured, actionable strategy recommendations for business problems. Expected Runtime: ~20s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "nexus_strategy_analyst", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• reasoningdelegationhigh≈ 258 tokens

  The high-effort reasoning agent is built for complex tasks that require deep, multi-step analysis and robust problem-solving. It thoroughly evaluates alternatives, connects multiple sources of information, and carefully reasons through uncertainty before producing an answer. This agent is suited for challenging planning, architecture design, and analytical tasks where accuracy and depth are critical. Expected Runtime: ~60s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "reasoningdelegationhigh", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• reasoningdelegationlow≈ 248 tokens

  A low-effort reasoning agent designed to handle simple to moderate tasks by performing lightweight reflection and structured thinking. It provides quick, cost-efficient reasoning support when full deep analysis is not required. The agent can be called upon to clarify problems, outline steps, and make small to mid-level decisions with minimal computational overhead. Expected Runtime: ~45s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "reasoningdelegationlow", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• reasoningdelegationmedium≈ 257 tokens

  The medium-effort reasoning agent is designed to handle moderate to complex tasks by applying structured, multi-step thinking and deeper analysis. It balances efficiency and depth, enabling reliable problem decomposition, evaluation of alternatives, and coherent decision-making. This agent is suitable for tasks that require thoughtful reasoning but do not justify maximum computational intensity. Expected Runtime: ~50s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "reasoningdelegationmedium", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• researchagent≈ 234 tokens

  Conducts thorough, iterative internet research on a given topic. Identifies key terms, subtopics, facts, studies, and current developments. Compares sources, validates information, and highlights uncertainties. Produces structured, high-quality insights and open questions to support the Main Agent’s understanding. Expected Runtime: ~60s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "researchagent", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• russian_website_legal_auditor≈ 228 tokens

  Проводит доказательный аудит сайтов по действующему законодательству РФ: сканирует публичные страницы, формы, cookies, документы, платежные сценарии и внешние сервисы, сверяет применимые требования и возвращает отчет с рисками, источниками и готовым планом исправлений для Codex. Expected Runtime: ~180s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "russian_website_legal_auditor", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• sandboxcodingagent≈ 249 tokens

  Executes Python or JavaScript code in an isolated, stateless sandbox to validate, test, or solve tasks. Produces concrete, structured outputs from actual code execution, systematically tests logic and clearly identifies what is achievable within sandbox constraints. Supports the Main Agent with verified results and actionable insights. Expected Runtime: ~45s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "sandboxcodingagent", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• scientificresearchagent≈ 262 tokens

  Analyzes tasks, questions, or problems strictly from a scientific perspective. Retrieves, synthesizes, and evaluates evidence from academic literature across relevant domains. Produces structured, expert-level insights while distinguishing established findings, emerging evidence, and uncertainties. Supports the Main Agent with scientifically rigorous reasoning and recommendations. Expected Runtime: ~60s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "scientificresearchagent", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• search_skills≈ 248 tokens

  Semantically search the live ClawHub skills registry (clawhub.ai). ClawHub hosts OpenClaw SKILL.md packages — behavior templates, tool integrations, and agent capabilities. Results include slug, author, summary, install hint, and canonical URL. Follow up with get_skill(slug) to read the full SKILL.md. Free to use — no API key required. Args: query: Natural language description of the capability you need (e.g. 'browser automation', 'send emails via gmail'). top_k: Number of results to return (default: 5, max: 10).

  Paramètres, retour & exemple (2)

  Paramètres

  • query · string · requis
  • top_k · integer · optionnel

  Exemple d'appel

  {"name": "search_skills", "arguments": {"query": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• silpo_home_restaurant≈ 248 tokens

  Creates a complete home restaurant experience from the household fridge, guest count, cuisine, time and budget. Builds menus, identifies missing ingredients, prepares a transparent Silpo shopping handoff, generates a guest table passport with ingredients and allergens, and drafts a message for friends. Sponsored products are labelled and only shown when relevant. Expected Runtime: ~15s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "silpo_home_restaurant", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• smart_fridge___nutrition≈ 241 tokens

  Tracks household food inventory, expiry risks and replenishment needs; considers user food restrictions and preferences; prepares transparent product recommendations, a draft Silpo basket and delivery options. Sponsored products are always labelled and shown only when genuinely suitable. Cart changes require explicit user approval. Expected Runtime: ~15s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "smart_fridge___nutrition", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• softwareengineeringexpert≈ 262 tokens

  Performs expert-level software engineering analysis to solve tasks using repository and code evidence as the primary source. Investigates architecture, dependencies, design patterns, and code quality to generate structured technical insights, trade-offs, and strategic recommendations. Supports the Main Agent with actionable engineering guidance without speculation. Can't execute code. Expected Runtime: ~50s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "softwareengineeringexpert", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• stock_market≈ 226 tokens

  Fundamental Analysis Expected Runtime: ~30s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "stock_market", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• taskplanner≈ 232 tokens

  Generates structured, iterative execution plans from complex user requests or problems. Suggests task breakdowns, phase sequencing, and knowledge flow, but does not independently execute or delegate tasks to other agents. Supports the Main Agent in preparing actionable plans. Expected Runtime: ~30s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "taskplanner", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• testagent≈ 145 tokens

  Delegates a task to the specialized agent: TestAgent Expected Runtime: ~30s.

  Paramètres, retour & exemple (1)

  Paramètres

  • payload · ? · requis

  Exemple d'appel

  {"name": "testagent", "arguments": {"payload": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

• wait_for_task≈ 249 tokens

  Wait for a platform agent task to complete and return its result. Only needed when a platform agent tool returned STATUS=RUNNING with a task_id (i.e. the task was still running after the initial 50s inline wait). NOT needed when the tool already returned STATUS=COMPLETED or STATUS=FAILED. NOT needed for a2a_call_agent — that always returns directly. Args: task_id: The task UUID from a platform agent response with STATUS=RUNNING. max_wait_seconds: Max seconds to wait (default 45, max 300).

  Paramètres, retour & exemple (2)

  Paramètres

  • task_id · string · requis
  • max_wait_seconds · number · optionnel

  Exemple d'appel

  {"name": "wait_for_task", "arguments": {"task_id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}}

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Source

https://agent-router.org/mcp-http/mcp