A
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qualityD
maintenanceEnables accessing and managing personal/team internal knowledge repository with tools for semantic search, smart search, document listing, and saving information for future recall.
Apache 2.0
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"A search for information on Common Vulnerabilities and Exposures (CVE)" matching MCP servers:
- Flicense-qualityDmaintenanceA comprehensive Model Context Protocol (MCP) server implementing the latest MCP specification with tools, resources, prompts, and enhanced sampling capabilities that features HackerNews and GitHub API integrations for AI-powered analysis.330
- AlicenseAqualityFmaintenanceUniversal search engine for AI agents. Discover products, services, and businesses across every category. 10 MCP tools, zero LLM calls, millisecond responses.114AGPL 3.0
- AlicenseAqualityAmaintenanceFederated, local-first search for AI agents: one query fans across transcripts, files, a knowledge graph, a vector store, the live web, and YouTube, fused by trust-weighted RRF into one ranked answer. Five modes (grep/lexical/semantic/hybrid/rerank), runs entirely on your machine over MCP.629Apache 2.0
- AlicenseAqualityDmaintenanceCLI-first web and code search for agents, with MCP support for integration with IDEs like Cursor, VS Code, and Claude Code.3MIT
- FlicenseAqualityBmaintenanceA local web search MCP server supporting parallel, API, and model-based search modes, integrating Zhipu Web Search API and online models for real-time information retrieval.10
- AlicenseAqualityAmaintenanceEnables AI agents to search local Markdown documents using natural language, with automatic indexing and section-level retrieval.921MIT
- AlicenseBqualityAmaintenanceMCP search and evidence tool for AI agents. Rewrites queries, zooms into source domains, and returns sourced answers with metrics.11MIT
- Alicense-qualityBmaintenanceMCP server that provides secure access to a serverless Markdown wiki on AWS, enabling AI assistants to read, search, and edit pages with space-level permission checks and Bedrock-powered semantic search.MIT
- Alicense-qualityAmaintenanceSemantic, on-demand skill retrieval for Claude Code that saves tokens and improves skill discovery by replacing the native skill listing with vector embedding search.8MIT
- Alicense-qualityCmaintenanceMCP server for searching files on macOS by name or content using semantic and lexical search, providing file paths and line numbers for agents to read from.MIT
- Alicense-qualityBmaintenanceA self-hosted, MCP-native web-search backend for AI agents that provides meta-search, clean extraction, RAG with citations, and GitHub project selection.1MIT
FoundryNet Searchofficial
Flicense-qualityFmaintenanceEnables web search and AI-summarized answers via an x402-gated gateway, with options for structured results or enriched summaries, accessible as an MCP server.- Alicense-qualityDmaintenanceFree web search MCP server using SearXNG, supporting web search, news search, and search summaries.MIT
- Alicense-qualityBmaintenanceProvides an MCP server with a search tool for agents, backed by Cloudflare AI Search and a synced corpus of git repositories.403AGPL 3.0
- Alicense-qualityDmaintenanceEnables semantic search across conversation archives via MCP, allowing AI clients to retrieve relevant past conversations using vector embeddings and text fallback.04ISC
- Alicense-qualityDmaintenanceMCP server for web search and URL reading via CLIProxyAPI Antigravity backend, enabling web search, URL content retrieval, and grounded research.141MIT
- Flicense-qualityFmaintenanceEnables semantic search across documentation stored in Gemini FileSearchStores, returning AI-generated answers with source citations.1
- Flicense-qualityDmaintenanceA local-first MCP server that enables semantic search over PDF and DOCX documents using structure-aware parsing and vector storage. It allows users to query their local knowledge base through Claude Code without cloud dependencies or GPU requirements.
- Flicense-qualityBmaintenanceEnables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.4