Web_search_mcp

GhoshSrinjoy/Web_search_mcp

3.3

If you are the rightful owner of Web_search_mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

The WebSearch MCP is a comprehensive Model Context Protocol implementation that enhances AI models with web search, content extraction, vector storage, and retrieval augmented generation capabilities.

Tools

Functions exposed to the LLM to take actions

web_search

Search the internet using SearXNG.

extract_content

Extract clean content from any URL.

rag_search

Semantic search through stored knowledge.

store_content

Store content in vector database.

knowledge_stats

View knowledge base statistics.

research_query

Multi-source research with automatic storage.

smart_answer

Enhanced answers using both stored and web data.

Prompts

Interactive templates invoked by user choice

No prompts

Resources

Contextual data attached and managed by the client

No resources