MCP MeasureMCP Measure

인덱스 관측됨

Agent Data Co

Daily AI-ecosystem data: GitHub AI/MCP repos, MCP registry, HF trending, LLM pricing, with history.

사용해야 할까요

품질 및 안전성

A
설명 품질
93%
스키마 완전성
75%
이름 품질
98%
오염 위험
100%
권한 일치
100%
프로토콜 준수
100%

발견 사항 (3)

  • LOWTool 'get_momentum_leaderboard' description lacks action verbget_momentum_leaderboard에서
  • LOWTool 'get_mcp_servers' description lacks action verbget_mcp_servers에서
  • LOWTool 'get_hf_trending' description lacks action verbget_hf_trending에서

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~1,802토큰 (도구 정의)
~855 B일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 1.41%)

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": {
    "api": {
      "url": "https://agentdataco.com/mcp"
    }
  }
}

원격 엔드포인트

https://agentdataco.com/mcpstreamable-http

할 수 있는 일

도구 목록

도구 (12)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢get_momentum_leaderboard(feed, limit)

Free: ADC Momentum leaderboard (0-100 score from growth velocity, consistency, recency and agent demand in our daily archive) for GitHub AI repos, MCP servers, LLMs and Hugging Face items, plus what AI agents looked up most this week (Agent Demand Index).

입력 스키마

{
  "type": "object",
  "properties": {
    "feed": {
      "type": "string",
      "enum": [
        "github-ai-repos",
        "mcp-servers",
        "llm-pricing",
        "hf-trending"
      ]
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "default": 25
    }
  }
}
🟢list_feeds

List the Agent Data Co feeds (AI-ecosystem datasets), their sources and update times. Free, no API key.

입력 스키마

{
  "type": "object",
  "properties": {}
}
🟢get_sample(feed)

Free sample: 5 latest rows from one or all feeds. No API key needed.

입력 스키마

{
  "type": "object",
  "properties": {
    "feed": {
      "type": "string",
      "enum": [
        "github-ai-repos",
        "show-hn-ai",
        "mcp-servers",
        "hf-trending",
        "llm-pricing",
        "ai-pricing"
      ]
    }
  }
}
🟢lookup_entity(feed, entity)

Free: latest public metrics and recent daily values for one tracked entity (top ~2,000 entities: GitHub repo owner/name, MCP server name, OpenRouter model id, pricing page URL, or hf "<type>:<id>"). Full history needs a key (get_history).

입력 스키마

{
  "type": "object",
  "properties": {
    "feed": {
      "type": "string",
      "enum": [
        "github-ai-repos",
        "mcp-servers",
        "llm-pricing",
        "ai-pricing",
        "hf-trending"
      ]
    },
    "entity": {
      "type": "string"
    }
  },
  "required": [
    "feed",
    "entity"
  ]
}
🟢get_github_ai_repos(q, since, limit, offset, repo)

GitHub AI agent & MCP repos (source: GitHub Search API). Full current feed, refreshed daily. Requires API key. Pass repo=owner/name for one repo (untracked repos are queued).

입력 스키마

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "description": "Case-insensitive full-text filter"
    },
    "since": {
      "type": "string",
      "description": "ISO date; only rows created/updated on or after"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 1000,
      "default": 50
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "default": 0
    },
    "repo": {
      "type": "string"
    }
  }
}
🟢get_show_hn_ai(q, since, limit, offset)

Show HN AI launches (source: Algolia HN Search API). Full current feed, refreshed daily. Requires API key.

입력 스키마

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "description": "Case-insensitive full-text filter"
    },
    "since": {
      "type": "string",
      "description": "ISO date; only rows created/updated on or after"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 1000,
      "default": 50
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "default": 0
    }
  }
}
🟢get_mcp_servers(q, since, limit, offset)

Official MCP registry servers (source: registry.modelcontextprotocol.io). Full current feed, refreshed daily. Requires API key.

입력 스키마

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "description": "Case-insensitive full-text filter"
    },
    "since": {
      "type": "string",
      "description": "ISO date; only rows created/updated on or after"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 1000,
      "default": 50
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "default": 0
    }
  }
}
🟢get_hf_trending(q, since, limit, offset)

Hugging Face trending models & Spaces (source: Hugging Face Hub API). Full current feed, refreshed daily. Requires API key.

입력 스키마

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "description": "Case-insensitive full-text filter"
    },
    "since": {
      "type": "string",
      "description": "ISO date; only rows created/updated on or after"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 1000,
      "default": 50
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "default": 0
    }
  }
}
🟢get_llm_pricing(q, since, limit, offset)

LLM model pricing (OpenRouter) (source: OpenRouter models API). Full current feed, refreshed daily. Requires API key.

입력 스키마

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "description": "Case-insensitive full-text filter"
    },
    "since": {
      "type": "string",
      "description": "ISO date; only rows created/updated on or after"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 1000,
      "default": 50
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "default": 0
    }
  }
}
🟢get_ai_pricing(q, since, limit, offset, url)

AI & SaaS pricing page snapshots (source: Public pricing pages). Full current feed, refreshed daily. Requires API key. Pass url= for one pricing page (untracked pages are queued).

입력 스키마

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "description": "Case-insensitive full-text filter"
    },
    "since": {
      "type": "string",
      "description": "ISO date; only rows created/updated on or after"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 1000,
      "default": 50
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "default": 0
    },
    "url": {
      "type": "string"
    }
  }
}
🟢get_history(feed, entity, from, to, limit, ...)

Daily time series for ONE entity from the append-only archive (Starter: last 30 days, Pro: full archive). Max 90-day window per call (from..to); up to 90 rows per page, use nextCursor as `cursor` for the next page. No whole-feed dumps. Fair use: 200 (Starter) / 1,000 (Pro) history+trends calls per day per key; keys scanning many distinct entities/dates very fast are throttled for 1 hour (429). Bulk/full-archive access: data licence from $499/mo, [email protected]. Requires API key.

입력 스키마

{
  "type": "object",
  "properties": {
    "feed": {
      "type": "string",
      "enum": [
        "github-ai-repos",
        "show-hn-ai",
        "mcp-servers",
        "hf-trending",
        "llm-pricing",
        "ai-pricing"
      ]
    },
    "entity": {
      "type": "string",
      "description": "owner/repo, MCP server name, OpenRouter model id, pricing page URL, \"model:<hf id>\", HN item id"
    },
    "from": {
      "type": "string",
      "description": "YYYY-MM-DD (default: to minus 30 days)"
    },
    "to": {
      "type": "string",
      "description": "YYYY-MM-DD (default today); max 90 days after from"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 90,
      "default": 31
    },
    "cursor": {
      "type": "string",
      "description": "nextCursor from the previous page"
    }
  },
  "required": [
    "feed",
    "entity"
  ]
}
🟢get_trends(window, feed, date)

Top movers (1d/7d/30d) by stars/likes/points plus change events: new entities, LLM price changes, MCP version bumps, pricing-page changes. Latest by default; past dates need `feed` and must be within your plan history. Counts toward the daily history/trends fair-use cap (200 Starter / 1,000 Pro). Requires API key.

입력 스키마

{
  "type": "object",
  "properties": {
    "window": {
      "type": "string",
      "enum": [
        "1d",
        "7d",
        "30d"
      ]
    },
    "feed": {
      "type": "string",
      "enum": [
        "github-ai-repos",
        "show-hn-ai",
        "mcp-servers",
        "hf-trending",
        "llm-pricing",
        "ai-pricing"
      ]
    },
    "date": {
      "type": "string",
      "description": "YYYY-MM-DD (default latest; requires feed)"
    }
  }
}

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