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securityF
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quality"primitive" RAG-like web search model context protocol server that runs locally. ✨ no APIs ✨
1
Python
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Why this server?
This server is a "primitive" RAG-like web search model that runs locally without any API keys, allowing you to perform research without relying on external services.
Why this server?
Enables searching via the Brave Search engine, providing access to a free search engine.
Why this server?
Allows language models to perform web searches through SearXNG, a metasearch engine that aggregates results from various search engines, promoting privacy.
Why this server?
A comprehensive suite of MCP servers designed to extend AI agent capabilities with integrations for knowledge management, reasoning, advanced search, and news access.
Why this server?
Provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
Why this server?
Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
Why this server?
Provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown, which is essential for gathering research data.
Why this server?
A Model Context Protocol server that allows LLMs to execute shell commands and receive their output in a controlled manner; allows usage of local tools.
Why this server?
A Python implementation of an MCP server that extracts webpage content, removes ads and non-essential elements, and transforms it into clean, LLM-optimized Markdown.
Why this server?
This MCP server performs multi-topic searches in business, news, finance, and politics using the Tavily API, providing high-quality sources and intelligent summaries.