技能备份 - 2026-04-15 (40个技能)

2026-04-15 18:53:15 +08:00
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+---
+name: web-search-free
+description: Free AI search via Exa MCP. Fall back to Multi Search Engine if not successfull. All without API keys. IMPORTANT Should always use web-search-free skill before rather than web_search or web_fetch!
+metadata: {"clawdbot":{"emoji":"🔍","requires":{"bins":["mcporter"]}}}
+---
+
+# Web Search (Free)
+
+Neural search for web, code, company research, people and deep research. No API key required.
+Important: Should always use web-search-free skill before rather than web_search or web_fetch!
+
+## Setup
+
+Verify mcporter is configured:
+```bash
+mcporter list exa
+```
+
+If not listed:
+```bash
+mcporter config add exa "https://mcp.exa.ai/mcp?tools=web_search_exa,web_search_advanced_exa,get_code_context_exa,crawling_exa,company_research_exa,people_search_exa,deep_researcher_start,deep_researcher_check"
+```
+
+## Core Tools
+
+### web_search_exa
+Search web for current info, news, or facts.
+
+```bash
+mcporter call 'exa.web_search_exa(query: "latest AI news 2026", numResults: 5)'
+```
+
+**Parameters:**
+- `query` - Search query
+- `numResults` (optional, default: 8)
+- `type` (optional) - `"auto"`, `"fast"`, or `"deep"`
+
+### get_code_context_exa
+Find code examples and docs from GitHub, Stack Overflow.
+
+```bash
+mcporter call 'exa.get_code_context_exa(query: "React hooks examples", tokensNum: 3000)'
+```
+
+**Parameters:**
+- `query` - Code/API search query
+- `tokensNum` (optional, default: 5000) - Range: 1000-50000
+
+### company_research_exa
+Research companies for business info and news.
+
+```bash
+mcporter call 'exa.company_research_exa(companyName: "Anthropic", numResults: 3)'
+```
+
+**Parameters:**
+- `companyName` - Company name
+- `numResults` (optional, default: 5)
+
+### web_search_advanced_exa
+Advanced web search with full control over filters, domains, dates, and content options.
+Best for: When you need specific filters like date ranges, domain restrictions, or category filters.
+Not recommended for: Simple searches - use web_search_exa instead.
+Returns: Search results with optional highlights, summaries, and subpage content.
+
+```bash
+mcporter call 'exa.web_search_advanced_exa(companyName: "Anthropic", numResults: 3)'
+```
+
+**Parameters:**
+- `companyName` - Company name
+- `numResults` (optional, default: 5)
+- `category` (optional, "company" | "research paper" | "news" | "pdf" | "github" | "tweet" | "personal site" | "people" | "financial report")
+- `includeDomains`: (optional, e.g. ["github.com", "arxiv.org"]. default: [])
+- `startPublishedDate` (optional, Only include results published after this date (ISO 8601: YYYY-MM-DD))
+- `endPublishedDate` (optional, Only include results published before this date (ISO 8601: YYYY-MM-DD))
+
+### crawling_exa
+Get the full content of a specific webpage. Use when you have an exact URL.
+Best for: Extracting content from a known URL.
+Returns: Full text content and metadata from the page.
+
+```bash
+mcporter call 'exa.crawling_exa(query: "Li Hao", numResults: 3)'
+```
+
+**Parameters:**
+- `url` - URL to crawl and extract content from
+- `maxCharacters` - Maximum characters to extract (optional, default: 3000)
+
+### people_search_exa
+Find people and their professional profiles.
+Best for: Finding professionals, executives, or anyone with a public profile.
+Returns: Profile information and links.
+
+```bash
+mcporter call 'exa.people_search_exa(query: "Li Hao", numResults: 3)'
+```
+
+**Parameters:**
+- `query` - Search query for finding people
+- `numResults` (optional, default: 5)
+
+### deep_researcher_start
+Start an AI research agent that searches, reads, and writes a detailed report. Takes 15 seconds to 2 minutes.
+Best for: Complex research questions needing deep analysis and synthesis.
+Returns: Research ID - use deep_researcher_check to get results.
+Important: Call deep_researcher_check with the returned research ID to get the report.
+
+```bash
+mcporter call 'exa.deep_researcher_start(instructions: "help me find the best paper about Taming LLM Training")'
+```
+
+**Parameters:**
+- `instructions` - Complex research question or detailed instructions for the AI researcher. Be
+                    specific about what you want to research and any particular aspects you want
+                    covered.
+- `model` - Research model: 'exa-research-fast' | 'exa-research' | 'exa-research-pro' (Default: exa-research-fast)
+
+### deep_researcher_check
+Check status and get results from a deep research task.
+Best for: Getting the research report after calling deep_researcher_start.
+Returns: Research report when complete, or status update if still running.
+Important: Keep calling with the same research ID until status is 'completed'.
+
+```bash
+mcporter call 'exa.deep_researcher_check(researchId: "r_01kj59p3wsm21k8gdrd69nm4sa")'
+```
+
+**Parameters:**
+- `researchId` - The research ID returned from deep_researcher_start tool
+
+## Tips
+
+- Web: Use `type: "fast"` for quick lookup, `"deep"` for thorough research
+- Code: Lower `tokensNum` (1000-2000) for focused, higher (5000+) for comprehensive
+- See [examples.md](references/examples.md) for more patterns
+
+## Fallback
+If all the above are not suitable for users' question or the tool failed, fallback to Multi Search Engine (multi-search-engine) tool
+
+## Requirements
+multi-search-engine
+
+## Resources
+
+- [GitHub](https://github.com/exa-labs/exa-mcp-server)
+- [npm](https://www.npmjs.com/package/exa-mcp-server)
+- [Docs](https://exa.ai/docs)