"A simple memory MCP server with read/write tools and vector database search" matching MCP servers:

Enables Google search with advanced options (date, language, country, safe search) and webpage content extraction via the Model Context Protocol.

An MCP server for integrating with the Brave Search API, and it supports HTTP proxying.

Fast, token-efficient web content extraction tool that converts websites to clean Markdown for AI agents, featuring smart caching, content extraction with Mozilla Readability, and polite crawling capabilities.

Provides a universal read path for agents to extract facts, metadata, and provenance from local files and guarded remote URLs without using generative LLMs.

Empowers LLMs to scrape web pages and generate sitemaps through the Firecrawl Simple API, with support for JavaScript rendering and configurable options.

Provides web search and page fetching capabilities using Ollama's API.

Provides a read-only MCP server to access ChatGPT conversation history via a local browser process. Allows AI clients to list, get, and search conversations from the authenticated user's ChatGPT account.

Enables AI agents and LLM pipelines to fetch webpages or crawl sites locally and convert the content into clean, token-efficient Markdown with links preserved. Includes caching, robots.txt-aware rate limiting, concurrent depth crawling, and optional chunking for downstream processing.

Enables AI agents and LLM pipelines to fetch webpages or crawl sites, extract main content, and convert it to clean, token-efficient Markdown with preserved links. It supports configurable crawling depth, caching, robots.txt compliance, and optional chunking for downstream processing.

Enables AI agents and developers to fetch webpages or crawl sites locally, extract readable content, and convert it into clean, link-preserving Markdown with caching, rate limiting, and robots.txt compliance for efficient downstream processing.

Enables AI agents to quickly fetch webpages, strip noise, and convert content into clean, link-preserving Markdown with caching and optional multi-page crawling for token-efficient web scraping.

Enables AI agents and LLM pipelines to fetch and crawl websites locally, extract readable content, and convert pages into clean Markdown with preserved links while minimizing token usage.

Fetches webpages locally, extracts readable content, and converts it to clean Markdown with preserved links, optional multi-page crawling, caching, and robots.txt support for token-efficient use by AI agents and LLM pipelines.

Enables AI agents and LLM pipelines to fetch webpages and crawl sites locally, stripping noise and converting content to clean, token-efficient Markdown with preserved links, caching, and polite crawling.

Fetches web content locally, removes clutter, and converts pages to clean Markdown for efficient LLM consumption, with optional crawling and caching.

Provides an MCP server that enables web search and page extraction across multiple providers with automatic failover and quota rotation, plus a local dashboard for managing keys, engine order, and request history.

CLI-first web and code search for agents, with MCP support for integration with IDEs like Cursor, VS Code, and Claude Code.

Wraps the local agy CLI into an MCP server to provide a web_search tool that enables Claude Code to perform real internet searches through Gemini/Google.

Operates Tencent Docs spreadsheet cells by reading boundaries, clicking, and inputting text via Playwright MCP, with caching options for efficiency.

An MCP server that enables LLMs to automate browser interactions using Playwright to fetch real-time Israeli weather data.