exa
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
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": {
"exa": {
"url": "https://mcp.exa.ai/mcp"
}
}
}Remote-Endpunkte
https://mcp.exa.ai/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (2)
🟢web_search_exa(query, numResults, objective)
Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 1,
"description": "Natural language search query. Should be a semantically rich description of the ideal page, not just keywords. Optionally include category:<type> (company, people) to focus results — e.g. 'category:people John Doe software engineer'."
},
"numResults": {
"type": "number",
"description": "Number of search results to return (default: 10)."
},
"objective": {
"type": "string",
"minLength": 1,
"maxLength": 4096,
"description": "Goal for this search turn; say which documents should rank first, which should be excluded, and what specific facts or figures to pull from them."
}
},
"required": [
"query",
"objective"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢web_fetch_exa(urls, maxCharacters)
Read a webpage's full content as clean markdown. Use after web_search_exa when highlights are insufficient or to read any URL. Best for: Extracting full content from known URLs. Batch multiple URLs in one call. Returns: Clean text content and metadata from the page(s).
Eingabe-Schema
{
"type": "object",
"properties": {
"urls": {
"type": "array",
"items": {
"type": "string"
},
"description": "URLs to read. Batch multiple URLs in one call."
},
"maxCharacters": {
"type": "number",
"minimum": 1,
"description": "Maximum characters to extract per page (default: 3000)"
}
},
"required": [
"urls"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}Empfohlene Prompts
web_search_exaweb_search_exaweb_fetch_exaweb_fetch_exaweb_search_exaweb_fetch_exaCommunity
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