commit 30f38072a112c08b7158f78aa7af7d1c34aa6681
Author: zlei9 <zlei9@126.com>
Date:   Sun Mar 29 14:30:48 2026 +0800

    Initial commit with translated description

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+---
+name: web-search-exa
+description: "神经网页搜索、内容提取、公司和人员研究、代码搜索和通过Exa MCP服务器的深度研究。"
+---
+
+# Exa — Neural Web Search & Research
+
+Exa is a neural search engine. Unlike keyword-based search, it understands meaning — you describe the page you're looking for and it finds it. Returns clean, LLM-ready content with no scraping needed.
+
+**MCP server:** `https://mcp.exa.ai/mcp`
+**Free tier:** generous rate limits, no key needed for basic tools
+**API key:** [dashboard.exa.ai/api-keys](https://dashboard.exa.ai/api-keys) — unlocks higher limits + all tools
+**Docs:** [exa.ai/docs](https://exa.ai/docs)
+**GitHub:** [github.com/exa-labs/exa-mcp-server](https://github.com/exa-labs/exa-mcp-server)
+
+## Setup
+
+Add the MCP server to your agent config:
+
+```bash
+# OpenClaw
+openclaw mcp add exa --url "https://mcp.exa.ai/mcp"
+```
+
+Or in any MCP config JSON:
+```json
+{
+  "mcpServers": {
+    "exa": {
+      "url": "https://mcp.exa.ai/mcp"
+    }
+  }
+}
+```
+
+To unlock all tools and remove rate limits, append your API key:
+```
+https://mcp.exa.ai/mcp?exaApiKey=YOUR_EXA_KEY
+```
+
+To enable specific optional tools:
+```
+https://mcp.exa.ai/mcp?exaApiKey=YOUR_KEY&tools=web_search_exa,web_search_advanced_exa,people_search_exa,crawling_exa,company_research_exa,get_code_context_exa,deep_researcher_start,deep_researcher_check,deep_search_exa
+```
+
+---
+
+## Tool Reference
+
+### Default tools (available without API key)
+
+| Tool | What it does |
+|------|-------------|
+| `web_search_exa` | General-purpose web search — clean content, fast |
+| `get_code_context_exa` | Code examples + docs from GitHub, Stack Overflow, official docs |
+| `company_research_exa` | Company overview, news, funding, competitors |
+
+### Optional tools (enable via `tools` param, need API key for some)
+
+| Tool | What it does |
+|------|-------------|
+| `web_search_advanced_exa` | Full-control search: domain filters, date ranges, categories, content modes |
+| `crawling_exa` | Extract full page content from a known URL — handles JS, PDFs, complex layouts |
+| `people_search_exa` | Find LinkedIn profiles, professional backgrounds, experts |
+| `deep_researcher_start` | Kick off an async multi-step research agent → detailed report |
+| `deep_researcher_check` | Poll status / retrieve results from deep research |
+| `deep_search_exa` | Single-call deep search with synthesized answer + citations (needs API key) |
+
+---
+
+## web_search_exa
+
+Fast general search. Describe what you're looking for in natural language.
+
+**Parameters:**
+- `query` (string, required) — describe the page you want to find
+- `numResults` (int) — number of results, default 10
+- `type` — `auto` (best quality), `fast` (lower latency), `deep` (multi-step reasoning)
+- `livecrawl` — `fallback` (default) or `preferred` (always fetch fresh)
+- `contextMaxCharacters` (int) — cap the returned content size
+
+```
+web_search_exa {
+  "query": "blog posts about using vector databases for recommendation systems",
+  "numResults": 8
+}
+```
+
+```
+web_search_exa {
+  "query": "latest OpenAI announcements March 2026",
+  "numResults": 5,
+  "type": "fast"
+}
+```
+
+---
+
+## web_search_advanced_exa
+
+The power-user tool. Everything `web_search_exa` does, plus domain filters, date filters, category targeting, and content extraction modes.
+
+**Extra parameters beyond basic search:**
+
+| Parameter | Type | What it does |
+|-----------|------|-------------|
+| `includeDomains` | string[] | Only return results from these domains (max 1200) |
+| `excludeDomains` | string[] | Block results from these domains |
+| `category` | string | Target content type — see table below |
+| `startPublishedDate` | string | ISO date, results published after this |
+| `endPublishedDate` | string | ISO date, results published before this |
+| `maxAgeHours` | int | Content freshness — `0` = always livecrawl, `-1` = cache only, `24` = cache if <24h |
+| `contents.highlights` | object | Extractive snippets relevant to query. Set `maxCharacters` to control size |
+| `contents.text` | object | Full page as clean markdown. Set `maxCharacters` to cap |
+| `contents.summary` | object | LLM-generated summary. Supports `query` and JSON `schema` for structured extraction |
+
+**Categories:**
+
+| Category | Best for |
+|----------|---------|
+| `company` | Company pages, LinkedIn company profiles |
+| `people` | LinkedIn profiles, professional bios, personal sites |
+| `research paper` | arXiv, academic papers, peer-reviewed research |
+| `news` | Current events, journalism |
+| `tweet` | Posts from X/Twitter |
+| `personal site` | Blogs, personal pages |
+| `financial report` | SEC filings, earnings reports |
+
+### Examples
+
+**Research papers:**
+```
+web_search_advanced_exa {
+  "query": "transformer architecture improvements for long-context windows",
+  "category": "research paper",
+  "numResults": 15,
+  "contents": { "highlights": { "maxCharacters": 3000 } }
+}
+```
+
+**Company list building with structured extraction:**
+```
+web_search_advanced_exa {
+  "query": "Series A B2B SaaS companies in climate tech founded after 2022",
+  "category": "company",
+  "numResults": 25,
+  "contents": {
+    "summary": {
+      "query": "company name, what they do, funding stage, location",
+      "schema": {
+        "type": "object",
+        "properties": {
+          "name": { "type": "string" },
+          "description": { "type": "string" },
+          "funding": { "type": "string" },
+          "location": { "type": "string" }
+        }
+      }
+    }
+  }
+}
+```
+
+**People search — find candidates with specific profiles:**
+```
+web_search_advanced_exa {
+  "query": "machine learning engineers at fintech startups in NYC with experience in fraud detection",
+  "category": "people",
+  "numResults": 20,
+  "contents": { "highlights": { "maxCharacters": 2000 } }
+}
+```
+
+**Finding pages similar to a known URL:**
+Use the URL itself as the query — Exa will find semantically similar pages:
+```
+web_search_advanced_exa {
+  "query": "https://linkedin.com/in/some-candidate-profile",
+  "numResults": 15,
+  "contents": { "highlights": { "maxCharacters": 2000 } }
+}
+```
+
+**Recent news with freshness control:**
+```
+web_search_advanced_exa {
+  "query": "AI regulation policy updates",
+  "category": "news",
+  "maxAgeHours": 72,
+  "numResults": 10,
+  "contents": { "highlights": { "maxCharacters": 4000 } }
+}
+```
+
+**Scoped domain search:**
+```
+web_search_advanced_exa {
+  "query": "authentication best practices",
+  "includeDomains": ["owasp.org", "auth0.com", "docs.github.com"],
+  "numResults": 10,
+  "contents": { "text": { "maxCharacters": 5000 } }
+}
+```
+
+---
+
+## company_research_exa
+
+One-call company research. Returns business overview, recent news, funding, and competitive landscape.
+
+```
+company_research_exa { "query": "Stripe payments company overview and recent news" }
+```
+
+```
+company_research_exa { "query": "what does Anduril Industries do and who are their competitors" }
+```
+
+---
+
+## people_search_exa
+
+Find professionals by role, company, location, expertise. Returns LinkedIn profiles and bios.
+
+```
+people_search_exa { "query": "VP of Engineering at healthcare startups in San Francisco" }
+```
+
+```
+people_search_exa { "query": "AI researchers specializing in multimodal models" }
+```
+
+---
+
+## get_code_context_exa
+
+Search GitHub repos, Stack Overflow, and documentation for code examples and API usage patterns.
+
+```
+get_code_context_exa { "query": "how to implement rate limiting in Express.js with Redis" }
+```
+
+```
+get_code_context_exa { "query": "Python asyncio connection pooling example with aiohttp" }
+```
+
+---
+
+## crawling_exa
+
+Extract clean content from a specific URL. Handles JavaScript-rendered pages, PDFs, and complex layouts. Returns markdown.
+
+```
+crawling_exa { "url": "https://arxiv.org/abs/2301.07041" }
+```
+
+Good for when you already have the URL and want to read the page.
+
+---
+
+## deep_researcher_start + deep_researcher_check
+
+Long-running async research. Exa's research agent searches, reads, and compiles a detailed report.
+
+**Start a research task:**
+```
+deep_researcher_start {
+  "query": "competitive landscape of AI code generation tools in 2026 — key players, pricing, technical approaches, market share"
+}
+```
+
+**Check status (use the researchId from the start response):**
+```
+deep_researcher_check { "researchId": "abc123..." }
+```
+
+Poll `deep_researcher_check` until status is `completed`. The final response includes the full report.
+
+---
+
+## deep_search_exa
+
+Single-call deep search: expands your query across multiple angles, searches, reads results, and returns a synthesized answer with grounded citations. Requires API key.
+
+```
+deep_search_exa { "query": "what are the leading approaches to multimodal RAG in production systems" }
+```
+
+Supports structured output via `outputSchema`:
+```
+deep_search_exa {
+  "query": "top 10 aerospace companies by revenue",
+  "type": "deep",
+  "outputSchema": {
+    "type": "object",
+    "required": ["companies"],
+    "properties": {
+      "companies": {
+        "type": "array",
+        "items": {
+          "type": "object",
+          "properties": {
+            "name": { "type": "string" },
+            "revenue": { "type": "string" },
+            "hq": { "type": "string" }
+          }
+        }
+      }
+    }
+  }
+}
+```
+
+---
+
+## Query Craft
+
+Exa is neural — it matches on meaning, not keywords. Write queries like you'd describe the ideal page to a colleague.
+
+**Do:** "blog post about using embeddings for product recommendations at scale"
+**Don't:** "embeddings product recommendations"
+
+**Do:** "Stripe payments company San Francisco fintech"
+**Don't:** "Stripe" (too ambiguous)
+
+- Use `category` when you know the content type — it makes a big difference.
+- For broader coverage, run 2-3 query variations in parallel and deduplicate results.
+- For agentic workflows, use `highlights` instead of full `text` — it's 10x more token-efficient while keeping the relevant parts.
+
+## Token Efficiency
+
+| Content mode | When to use |
+|-------------|------------|
+| `highlights` | Agent workflows, factual lookups, multi-step pipelines — most token-efficient |
+| `text` | Deep analysis, when you need full page context |
+| `summary` | Quick overviews, structured extraction with JSON schema |
+
+Set `maxCharacters` on any content mode to control output size.
+
+## When to Reach for Which Tool
+
+| I need to... | Use |
+|-------------|-----|
+| Quick web lookup | `web_search_exa` |
+| Research papers, academic search | `web_search_advanced_exa` + `category: "research paper"` |
+| Company intel, competitive analysis | `company_research_exa` or advanced + `category: "company"` |
+| Find people, candidates, experts | `people_search_exa` or advanced + `category: "people"` |
+| Code examples, API docs | `get_code_context_exa` |
+| Read a specific URL | `crawling_exa` |
+| Find pages similar to a URL | `web_search_advanced_exa` with URL as query |
+| Recent news / tweets | Advanced + `category: "news"` or `"tweet"` + `maxAgeHours` |
+| Detailed research report | `deep_researcher_start` → `deep_researcher_check` |
+| Quick answer with citations | `deep_search_exa` |
+
+---
+
+**Docs:** [exa.ai/docs](https://exa.ai/docs) — **Dashboard:** [dashboard.exa.ai](https://dashboard.exa.ai) — **Support:** support@exa.ai
diff --git a/_meta.json b/_meta.json
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+{
+  "ownerId": "kn79zcx54a6x6bdrmsavyvj9cd7zytts",
+  "slug": "web-search-exa",
+  "version": "2.0.0",
+  "publishedAt": 1773248698117
+}
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