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Add web search capability to agents or apps through the 302AI API.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "302AI Web Search MCP" yet — see the docs or source repo.
Use the 302AI Web Search MCP to search for "vector database trends in 2025" and summarize five key findings with source links.
A concise summary with five findings and the corresponding web sources.
Use the 302AI Web Search MCP to search for "AI meeting assistant pricing comparison" and list three major products with their pricing pages.
A list of competitor names and accessible pricing page links.
Using the 302AI Web Search MCP, search for "EU AI Act official overview" and return the most relevant official or authoritative sources.
Relevant web results, prioritizing official or authoritative source links.
Developers building MCP-based agents can use this tool to retrieve web search results and complement models that do not have native internet access.
Researchers or product managers can use it to search public web content and quickly locate relevant topics, source pages, or basic factual information.
It is an MCP tool that provides web search functionality through the 302AI API.
The description shows that it depends on the 302AI API. For exact installation steps, API key setup, or runtime requirements, see the source repository.
The provided information only states that it offers web search through the 302AI API; it does not specify the underlying search provider or result differences, so see the source repository.
Lets MCP clients search the web and fetch pages without API keys.
Search the web and fetch page content for AI-driven research tasks.
Let any LLM perform web search through a real browser without API keys.
Enable AI agents to search the web and extract useful page content.
Run local web search and URL fetching without external API keys.
Provide self-hosted web research capabilities for MCP agents.