Agent Data Co

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

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
93%
Vollständigkeit des Schemas
75%
Qualität der Benennung
98%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (3)

  • LOWTool 'get_momentum_leaderboard' description lacks action verbin get_momentum_leaderboard
  • LOWTool 'get_mcp_servers' description lacks action verbin get_mcp_servers
  • LOWTool 'get_hf_trending' description lacks action verbin get_hf_trending

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,802Tokens (Tool-Definitionen)
~855 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.41% von 128k Kontext)

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

Remote-Endpunkte

https://agentdataco.com/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (12)

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🟢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).

Eingabe-Schema

{
  "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.

Eingabe-Schema

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

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

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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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