Extends the official Obsidian MCP server with intelligent learning and second-brain features, including AI-generated challenges, progress analytics, spaced repetition, and knowledge gap analysis.
A REST API built with FastAPI that exposes endpoints via Model Context Protocol (MCP), allowing clients to interact with CRUD operations through MCP interfaces.
Enables MCP clients to search, browse, preview, and download CSMAR financial data using institutional IP authentication, no account or password required.
Enables reading Slack channels, messages, and threads using the web interface via a persistent browser session, designed for guest users without API access. Does not send messages.
MCP server providing free, IP-direct tools for web search, crawling, anti-detect browsing, and structured data from Wikipedia, Wikidata, GitHub, and YouTube.
A version-aware cache for web research that stores and serves documentation references, preventing models from re-researching the same topics across sessions.
Provides a web search tool with citations by running Claude Code CLI in an isolated Docker container, enabling search even in environments without direct Anthropic web search support.
Comprehensive web research toolkit with 13 tools for searching (via SearXNG), crawling, package discovery, GitHub metrics, error translation, API documentation lookup, data extraction, technology comparison, and service status checking.
Provides local web search and content fetching capabilities for AI assistants, enabling them to search DuckDuckGo and extract clean text from web pages. All requests originate from the user's machine to ensure direct network control and bypass external proxies.
A reconnaissance MCP server that discovers web data sources by monitoring network requests and extracting API structures, enabling AI to understand data location and format without full crawling.
A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.
Enables AI agents to perform query-driven web searches and fetch page content via Bing and DuckDuckGo engines, with automatic fallback and no API keys needed.
A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.
A headless web scraping server that extracts main content from web pages into Markdown, text, or HTML for AI and automation integration. It features per-domain rate limiting and robust error handling using Playwright and BeautifulSoup.