D.Va Exa Web Search Free

Free AI search via Exa MCP. Web search for news/info, code search for docs/examples from GitHub/StackOverflow, company research for business intel. No API ke...

Security Scan

The skill's declared purpose (web/code/company search) matches its runtime instructions: it only requires the mcporter CLI and issues mcporter calls to exa MCP endpoints; there are no unexpected env vars, installs, or file accesses, but you should verify the mcporter binary and the external MCP endpoint before use.

Purpose & Capability

Name/description ask for web/code/company search and the SKILL.md only requires the mcporter binary and shows mcporter calls to exa.web_search_exa, get_code_context_exa, company_research_exa etc. The requested binary and commands are appropriate and proportionate to the stated purpose.

Instruction Scope

Instructions are narrowly scoped to configuring and calling mcporter against the exa MCP URL. They do not instruct the agent to read local files, environment variables, or other system state. Note: all queries are sent to an external service (https://mcp.exa.ai/mcp), so any query text (including sensitive info) will be transmitted off-host.

Install Mechanism

This is an instruction-only skill with no install spec or code files. That reduces risk because nothing is written by the skill itself. However, the skill depends on an external CLI (mcporter) which the user must install separately; the skill does not provide an install origin or verification for that binary.

Credentials

No environment variables, credentials, or config paths are requested. The absence of secrets is appropriate for a read-only search integration. Advanced tools (people_search, crawling, deep researcher) are optional but consistent with the stated research capabilities.

Persistence & Privilege

The skill is not always:true and does not request elevated/persistent privileges or attempt to modify other skills or system-wide configuration. It relies on user-invoked mcporter commands and normal agent invocation behavior.

Assessment

This skill appears coherent and implements exactly what it claims: it issues mcporter CLI calls to Exa's MCP endpoint. Before installing or using it, verify the mcporter binary you have (origin, checksum, and trustworthiness) and confirm you trust the external endpoint (https://mcp.exa.ai/mcp). Do not include secrets or sensitive internal data in queries, and be aware that optional tools like people_search_exa or crawling_exa can retrieve or surface personal/professional profile data. If you cannot verify mcporter, test the skill in an isolated environment or sandbox first.

Exa Web Search (Free)

Neural search for web, code, and company research. No API key required.

Setup

Verify mcporter is configured:

mcporter list exa

If not listed:

mcporter config add exa https://mcp.exa.ai/mcp

Core Tools

web_search_exa

Search web for current info, news, or facts.

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.

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.

mcporter call 'exa.company_research_exa(companyName: "Anthropic", numResults: 3)'

Parameters:

• companyName - Company name
• numResults (optional, default: 5)

Advanced Tools (Optional)

Six additional tools available by updating config URL:

• web_search_advanced_exa - Domain/date filters
• deep_search_exa - Query expansion
• crawling_exa - Full page extraction
• people_search_exa - Professional profiles
• deep_researcher_start/check - AI research agent

Enable all tools:

mcporter config add exa-full "https://mcp.exa.ai/mcp?tools=web_search_exa,web_search_advanced_exa,get_code_context_exa,deep_search_exa,crawling_exa,company_research_exa,people_search_exa,deep_researcher_start,deep_researcher_check"

# Then use:
mcporter call 'exa-full.deep_search_exa(query: "AI safety research")'

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 for more patterns

Resources

• GitHub
• npm
• Docs