JarvisClaw — AI Gateway & API Marketplace

320 AI models + 2,720 pay-per-call APIs. x402 USDC on Base or Solana, no API key.

사용해야 할까요

품질 및 안전성

A
설명 품질
96%
스키마 완전성
81%
이름 품질
87%
오염 위험
100%
권한 일치
100%
프로토콜 준수
100%

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~1,423토큰 (도구 정의)
~1.0 KB일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 1.11%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

{
  "mcpServers": {
    "jarvisclaw": {
      "command": "npx",
      "args": [
        "jarvisclaw-mcp"
      ]
    }
  }
}

실행 가능한 패키지

npmjarvisclaw-mcp1.1.0stdio

원격 엔드포인트

https://api.jarvisclaw.ai/mcpstreamable-http

할 수 있는 일

도구 목록

도구 (9)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢list_models

List every AI model available on JarvisClaw — GPT, Claude, Gemini, DeepSeek, and more — with the model IDs you plug straight into the chat tool. Free, and the fastest way to see what you can call.

입력 스키마

{
  "type": "object",
  "properties": {}
}
🟡chat(max_tokens, messages, model, temperature)

Send a chat completion to any model on JarvisClaw through one OpenAI-compatible endpoint — GPT, Claude, Gemini, DeepSeek, and more. Pass a specific model ID or use 'auto' for smart routing to the best fit. One tool, every frontier model, no per-provider setup.

입력 스키마

{
  "type": "object",
  "properties": {
    "max_tokens": {
      "description": "Maximum tokens to generate. Optional.",
      "type": "integer"
    },
    "messages": {
      "description": "Chat messages array.",
      "items": {
        "properties": {
          "content": {
            "type": "string"
          },
          "role": {
            "enum": [
              "system",
              "user",
              "assistant"
            ],
            "type": "string"
          }
        },
        "required": [
          "role",
          "content"
        ],
        "type": "object"
      },
      "type": "array"
    },
    "model": {
      "description": "Model ID from list_models (e.g. 'openai/gpt-4o-mini', 'anthropic/claude-sonnet-4.6', 'google/gemini-2.5-flash'). Use 'auto' for smart routing.",
      "type": "string"
    },
    "temperature": {
      "description": "Sampling temperature (0-2). Optional.",
      "type": "number"
    }
  },
  "required": [
    "model",
    "messages"
  ]
}
🟢search_apis(category, query)

Search every API on JarvisClaw — thousands of callable endpoints across search, blockchain, image, data, document and more, plus APIs other developers have published. Returns the exact invocation path and per-call price for each result, so you can call one directly afterwards. Free to search; you only pay when you invoke.

입력 스키마

{
  "type": "object",
  "properties": {
    "category": {
      "description": "Optional category filter, e.g. 'search', 'blockchain', 'image', 'data', 'document', 'storage'.",
      "type": "string"
    },
    "query": {
      "description": "Search query (matches name, description, tags and category).",
      "type": "string"
    }
  }
}
🟢get_api_detail(slug)

Get the full spec for any API returned by search_apis — pricing, method, and the exact request to send. Works for both a user-published API slug and a catalogue handle like 'federation/40'. Use this before wiring a call in.

입력 스키마

{
  "type": "object",
  "properties": {
    "slug": {
      "description": "A user-published API slug, or a catalogue handle ('federation/40' or just '40').",
      "type": "string"
    }
  },
  "required": [
    "slug"
  ]
}
🟢discover_agents(category, search, tags)

Find other AI agents registered on JarvisClaw and connect to them directly. Search by capability, category, or name to get each agent's MCP URL and API endpoints — so your agent can delegate, collaborate, or chain work with others in the network.

입력 스키마

{
  "type": "object",
  "properties": {
    "category": {
      "description": "Filter by category.",
      "enum": [
        "ai",
        "defi",
        "data",
        "agent",
        "tool"
      ],
      "type": "string"
    },
    "search": {
      "description": "Search query (matches agent name and description).",
      "type": "string"
    },
    "tags": {
      "description": "Comma-separated tags to filter by.",
      "type": "string"
    }
  }
}
🟢aip_resolve(features, intent, max_price_usd, optimize_for)

Find the best AI provider for a task and get ranked, priced options before you commit a cent. Pass a known intent type (chat_completion, code_execution, code_generation, data_analysis, document_processing, image_generation, knowledge_search, prompt_optimization, text_to_speech, translation, utility, video_generation, web_search) for structured routing, or a plain-language query for semantic matching. Each match returns provider, model, live per-request price, and a ready-to-call endpoint. Free to call — no payment until you execute.

입력 스키마

{
  "type": "object",
  "properties": {
    "features": {
      "description": "Required features (e.g. streaming, function_calling, vision)",
      "items": {
        "type": "string"
      },
      "type": "array"
    },
    "intent": {
      "description": "The intent type (e.g. chat_completion, image_generation)",
      "enum": [
        "chat_completion",
        "code_execution",
        "code_generation",
        "data_analysis",
        "document_processing",
        "image_generation",
        "knowledge_search",
        "prompt_optimization",
        "text_to_speech",
        "translation",
        "utility",
        "video_generation",
        "web_search"
      ],
      "type": "string"
    },
    "max_price_usd": {
      "description": "Maximum acceptable price per request in USD (optional filter)",
      "type": "number"
    },
    "optimize_for": {
      "default": "quality",
      "description": "Optimization preference: cost, quality, or latency",
      "enum": [
        "cost",
        "quality",
        "latency"
      ],
      "type": "string"
    }
  },
  "required": [
    "intent"
  ]
}
🟢aip_execute_with_budget(intent, max_total_usd, payload, preferred_payment)

Run an AI task end-to-end with a hard spending cap you set. This is the primary AIP action: it resolves the best provider, runs a risk check, pre-deducts against your budget, executes the call, and settles on-chain via x402 — all in one step. You never overspend past max_total_usd, and settlement is automatic. Supports chat, image, video, speech, prompt optimization, web search, and knowledge search intents.

입력 스키마

{
  "type": "object",
  "properties": {
    "intent": {
      "description": "The intent type",
      "enum": [
        "chat_completion",
        "image_generation",
        "video_generation",
        "text_to_speech",
        "prompt_optimization",
        "web_search",
        "knowledge_search"
      ],
      "type": "string"
    },
    "max_total_usd": {
      "default": 1,
      "description": "Maximum budget for this request in USD (hard cap)",
      "type": "number"
    },
    "payload": {
      "description": "The actual request payload (e.g. {model, messages} for chat, {prompt, size} for images)",
      "type": "object"
    },
    "preferred_payment": {
      "default": "auto",
      "description": "Payment method preference",
      "enum": [
        "balance",
        "credit",
        "crypto",
        "auto"
      ],
      "type": "string"
    }
  },
  "required": [
    "intent",
    "payload"
  ]
}
🟢aip_list_intents

Browse every AI task type AIP can route — chat, image, video, speech, web search, knowledge search — with a short description of each. Call this first to see what's on the menu before you resolve or execute. Free.

입력 스키마

{
  "type": "object",
  "properties": {}
}
🟢aip_estimate_cost(intent, optimize_for)

Preview what a task will cost before committing — get an estimated price for an intent without running it or spending anything. Ideal for budget planning and comparing options up front. Free.

입력 스키마

{
  "type": "object",
  "properties": {
    "intent": {
      "description": "The intent type",
      "enum": [
        "chat_completion",
        "image_generation",
        "video_generation",
        "text_to_speech",
        "web_search",
        "knowledge_search"
      ],
      "type": "string"
    },
    "optimize_for": {
      "default": "cost",
      "enum": [
        "cost",
        "quality",
        "latency"
      ],
      "type": "string"
    }
  },
  "required": [
    "intent"
  ]
}

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