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Index beobachtet

Desearch

AI search, X search, web search, page extraction, and X trends.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
92%
Vollständigkeit des Schemas
100%
Qualität der Benennung
52%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (14)

  • LOWTool 'ai-search' doesn't follow camelCase/snake_casein ai-search
  • LOWTool 'x-search' doesn't follow camelCase/snake_casein x-search
  • LOWTool 'web-search' doesn't follow camelCase/snake_casein web-search
  • LOWTool 'web-links-search' doesn't follow camelCase/snake_casein web-links-search
  • LOWTool 'x-links-search' doesn't follow camelCase/snake_casein x-links-search
  • LOWTool 'x-posts-by-urls' doesn't follow camelCase/snake_casein x-posts-by-urls
  • LOWTool 'x-post-by-id' doesn't follow camelCase/snake_casein x-post-by-id
  • LOWTool 'x-posts-by-user' doesn't follow camelCase/snake_casein x-posts-by-user
  • LOWTool 'x-post-retweeters' doesn't follow camelCase/snake_casein x-post-retweeters
  • LOWTool 'x-user-posts' doesn't follow camelCase/snake_casein x-user-posts

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

Kontextkosten

~2,967Tokens (Tool-Definitionen)
~1.6 KBTypische Antwortgröße
Erhebliche Auswirkung auf die Aufmerksamkeit (2.32% 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": {
    "mcp-desearch": {
      "command": "npx",
      "args": [
        "desearch-mcp-server"
      ]
    }
  }
}

Ausführbare Pakete

npmdesearch-mcp-server0.1.3stdio

Remote-Endpunkte

https://mcp.desearch.ai/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (15)

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🟢ai-search(prompt, tools, date_filter, start_date, end_date, ...)

AI search and analysis on web using Desearch AI

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string",
      "description": "Question, example: 'What is the latest news on AI?'"
    },
    "tools": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "web",
          "twitter",
          "arxiv",
          "wikipedia",
          "youtube",
          "hackernews",
          "reddit"
        ]
      },
      "default": [
        "web",
        "twitter"
      ],
      "description": "Source ids sent to POST /desearch/ai/search. Use short ids such as 'web' and 'twitter'. Legacy labels such as 'Web Search' are accepted and rewritten to those ids. Example: ['web', 'twitter']."
    },
    "date_filter": {
      "type": "string",
      "enum": [
        "PAST_24_HOURS",
        "PAST_2_DAYS",
        "PAST_WEEK",
        "PAST_2_WEEKS",
        "PAST_MONTH",
        "PAST_2_MONTHS",
        "PAST_YEAR",
        "PAST_2_YEARS"
      ],
      "description": "Deprecated relative window; prefer start_date/end_date. Example: 'PAST_WEEK'"
    },
    "start_date": {
      "type": "string",
      "description": "Start of the date range in UTC (YYYY-MM-DDTHH:MM:SSZ). Use with end_date."
    },
    "end_date": {
      "type": "string",
      "description": "End of the date range in UTC (YYYY-MM-DDTHH:MM:SSZ). Use with start_date."
    },
    "result_type": {
      "type": "string",
      "enum": [
        "ONLY_LINKS",
        "LINKS_WITH_FINAL_SUMMARY"
      ],
      "description": "ONLY_LINKS returns links only; LINKS_WITH_FINAL_SUMMARY adds an AI summary. Link arrays are kept under whichever key the API uses, along with billing fields. ONLY_LINKS still depends on the API to include those links."
    },
    "include_domains": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Restrict Web Search results to these domains, example: ['bbc.com', 'reuters.com']"
    },
    "exclude_domains": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Drop Web Search results from these domains, example: ['pinterest.com']"
    },
    "model": {
      "type": "string",
      "enum": [
        "NOVA",
        "ORBIT"
      ],
      "default": "NOVA",
      "description": "Model to use for the search: NOVA (default) or ORBIT."
    }
  },
  "required": [
    "prompt"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢x-search(query, count, user, start_date, end_date, ...)

Search X (Twitter) using Desearch AI. Optional filters narrow by user, date, language, verification, media, and engagement. Sort stays Top.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Twitter advanced search query, example: 'from:elonmusk since:2023-01-01 min_replies:10'"
    },
    "count": {
      "type": "number",
      "default": 20,
      "description": "Number of search results to return (default: 20), max is 100"
    },
    "user": {
      "type": "string",
      "description": "User to search for, example: 'elonmusk'"
    },
    "start_date": {
      "type": "string",
      "description": "Start date in UTC (YYYY-MM-DD). Use with end_date."
    },
    "end_date": {
      "type": "string",
      "description": "End date in UTC (YYYY-MM-DD). Use with start_date."
    },
    "lang": {
      "type": "string",
      "description": "Language code, example: 'en', 'es', 'fr'"
    },
    "verified": {
      "type": "boolean",
      "description": "Filter for verified users."
    },
    "blue_verified": {
      "type": "boolean",
      "description": "Filter for blue-checkmark verified users."
    },
    "is_quote": {
      "type": "boolean",
      "description": "Include only posts that are quotes."
    },
    "is_video": {
      "type": "boolean",
      "description": "Include only posts with video."
    },
    "is_image": {
      "type": "boolean",
      "description": "Include only posts with images."
    },
    "min_retweets": {
      "anyOf": [
        {
          "type": "integer",
          "minimum": 0
        },
        {
          "type": "string"
        }
      ],
      "description": "Minimum number of retweets."
    },
    "min_replies": {
      "$ref": "#/properties/min_retweets",
      "description": "Minimum number of replies."
    },
    "min_likes": {
      "$ref": "#/properties/min_retweets",
      "description": "Minimum number of likes."
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢web-search(query, start)

SERP-style web search using Desearch. Returns ranked titles, links, and snippets.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Search query, example: 'latest news on AI'"
    },
    "start": {
      "type": "integer",
      "minimum": 0,
      "description": "How many results to skip for pagination (0, 10, 20, ...). Omit for the first page."
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢web-links-search(prompt, tools, count)

Search the web for links using Desearch. Only the web source is accepted.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string",
      "description": "Search query prompt, example: 'open source browser automation tools'"
    },
    "tools": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "web"
        ]
      },
      "minItems": 1,
      "default": [
        "web"
      ],
      "description": "Sources to search. Only 'web' is accepted; other ids are rejected before the API call. 'Web Search' is accepted and rewritten to 'web'. Defaults to ['web']."
    },
    "count": {
      "type": "integer",
      "minimum": 10,
      "maximum": 200,
      "description": "Results to return per source. Min 10. Max 200."
    }
  },
  "required": [
    "prompt"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢x-links-search(prompt, count)

AI search for X (Twitter) post links using Desearch. Returns links from posts that match the prompt.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string",
      "description": "Search query prompt, example: 'Bittensor subnet updates'"
    },
    "count": {
      "type": "integer",
      "minimum": 10,
      "maximum": 200,
      "description": "Results to return. Min 10. Max 200."
    }
  },
  "required": [
    "prompt"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢x-posts-by-urls(urls)

Fetch full X (Twitter) posts for a list of post URLs.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "urls": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "minItems": 1,
      "description": "Post URLs to fetch, example: ['https://x.com/user/status/123']"
    }
  },
  "required": [
    "urls"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢x-post-by-id(id)

Fetch a single X (Twitter) post by its ID.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "The unique ID of the post, example: '1234567890'"
    }
  },
  "required": [
    "id"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢x-posts-by-user(user, query, count)

Search X (Twitter) posts by a specific user, with an optional keyword query.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "user": {
      "type": "string",
      "description": "User to search for, example: 'elonmusk'"
    },
    "query": {
      "type": "string",
      "description": "Advanced search query to filter this user's posts."
    },
    "count": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "description": "Number of posts to retrieve (1-100)."
    }
  },
  "required": [
    "user"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢x-post-retweeters(id, cursor)

List users who retweeted an X (Twitter) post. Pass cursor to page through more users.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "The ID of the post to get retweeters for."
    },
    "cursor": {
      "type": "string",
      "description": "Cursor for pagination from a previous response."
    }
  },
  "required": [
    "id"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢x-user-posts(username, cursor)

Retrieve a user's X (Twitter) timeline posts by username. Pass cursor to page through more posts.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "username": {
      "type": "string",
      "description": "Username to fetch posts for, example: 'elonmusk'"
    },
    "cursor": {
      "type": "string",
      "description": "Cursor for pagination from a previous response."
    }
  },
  "required": [
    "username"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢x-user-replies(user, count, query)

Fetch posts and replies by an X (Twitter) user, with an optional keyword query.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "user": {
      "type": "string",
      "description": "Username of the user to search for, example: 'elonmusk'"
    },
    "count": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "description": "Number of posts to retrieve (1-100)."
    },
    "query": {
      "type": "string",
      "description": "Advanced search query to filter this user's posts and replies."
    }
  },
  "required": [
    "user"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢x-post-replies(post_id, count, query)

Fetch replies to an X (Twitter) post, with an optional keyword query.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "post_id": {
      "type": "string",
      "description": "The ID of the post to fetch replies for."
    },
    "count": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "description": "Number of posts to retrieve (1-100)."
    },
    "query": {
      "type": "string",
      "description": "Advanced search query to filter replies."
    }
  },
  "required": [
    "post_id"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract(url, format, js, wait)

Extract a public URL and return its content as plain text or HTML using Desearch. Preferred over web-crawl for new integrations.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Public URL to read, example: 'https://desearch.ai'"
    },
    "format": {
      "type": "string",
      "enum": [
        "html",
        "text"
      ],
      "description": "Content format to return: 'html' or 'text'."
    },
    "js": {
      "type": "boolean",
      "description": "Render JavaScript before reading the page."
    },
    "wait": {
      "type": "number",
      "description": "Post-load wait in milliseconds when JavaScript rendering is enabled."
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢web-crawl(url, format, js, wait)

Crawl a public URL and return its content as plain text or HTML on the legacy Desearch /web/crawl route. The SDK marks webCrawl deprecated in favor of extract; this tool stays for parity with that route. Prefer extract for new integrations.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Public URL to read, example: 'https://desearch.ai'"
    },
    "format": {
      "type": "string",
      "enum": [
        "html",
        "text"
      ],
      "description": "Content format to return: 'html' or 'text'."
    },
    "js": {
      "type": "boolean",
      "description": "Render JavaScript before reading the page."
    },
    "wait": {
      "type": "number",
      "description": "Post-load wait in milliseconds when JavaScript rendering is enabled."
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢x-trends(woeid, count)

Retrieve trending topics on X (Twitter) for a location by its WOEID using Desearch.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "woeid": {
      "type": "integer",
      "description": "WOEID of the location, example: 23424977 for the United States."
    },
    "count": {
      "type": "integer",
      "minimum": 30,
      "maximum": 100,
      "description": "Number of trends to return (30-100)."
    }
  },
  "required": [
    "woeid"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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