"Checking the current time" matching MCP servers:

A read-only MCP server that lets you search current and historical facts from a time-indexed knowledge graph derived from a folder of Markdown/text documents, with verification against original sources. It exposes tools for status, fact search, history search, and revision lookup while keeping document insertion and modification to the CLI.

Provides LLMs with up-to-date, version-specific documentation and code examples directly from library sources, eliminating outdated training data and hallucinated APIs by fetching current documentation at prompt time.

Enables AI assistants to answer questions about Apache Iggy using the project's current guides and Rust API documentation, with search, retrieval, and documentation analysis tools.

Provides OpenCode with adaptive long-term memory by storing preferences, lessons, and usage history locally in SQLite, enabling AI to remember and adapt to users through context-based learning.

Provides tools to fetch and search news from The Verge's RSS feed, allowing users to get today's news, retrieve random articles from the past week, and search for specific keywords in recent Verge content.

Give Claude access to real-time knowledge and premium content. Get rid of Claude's cutoff data and transform Claude's responses with current events, and trusted, premium sources through Linkup's powerful search capability.

WhatsHot MCP server aggregates trending hotlists, real-time news flashes, gold prices, and RSS feeds from 330+ sources, offering read-only tools to list sources, fetch current data, and query historical search and trend data via DuckDB.

Enables web search functionality through Perplexity AI's API with time-based filtering options. Allows users to search the web for recent information within specified time periods (day, week, month, or year).

A Model Context Protocol server that enables LLMs to perform Google searches via the Serper API, allowing models to retrieve current information from the web.

A Model Context Protocol server that enables web search capabilities using the Tavily API, allowing AI models to retrieve current information from the internet through natural language commands.

Generates production-ready short video scripts from real-time web search data using Tavily and Gemini, exposed as MCP tools.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for QuickBooks Time (beta): https://www.cdata.com/download/download.aspx?sku=HCZK-V&type=beta

Enables agents to answer analytics questions with provable correctness by resolving metrics through the semantic layer, tracing lineage, traversing knowledge graphs, checking freshness, and searching glossary definitions, while enforcing access controls and logging every call.

Enables AI agents to analyze large codebases and document collections by consulting large context window models (up to 2M tokens) via OpenRouter when files exceed the current agent's context limits.

Enables browsing, searching, and importing sessions from multiple coding agents into the current one, or reopening them in their native agent, all locally and read-only.

Indexes your repo's markdown into a canonical doc store, serving agents the single current doc per question via MCP to save tokens and keep all agents on the same source of truth.

Provides MCP clients with persistent storage, hybrid search, evidence checking, and automatic context compression, including fact slots, typed links, and lossless archival.

Enables AI assistants to perform real-time internet searches and get AI-powered analysis of current information through the gemini-cli tool.

A lightweight Flask-based server that enables Claude AI to perform real-time web searches via DuckDuckGo during conversations, allowing the AI to access current information.

Enables checking whether a website has a usable llms.txt file and scoring it from 0 to 100.