Production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.
Integrates Tavily's search API with LLMs to provide advanced web search capabilities, including intelligent result summaries, domain filtering for quality control, and configurable search parameters.
This server enables AI systems to integrate with Tavily's search and data extraction tools, providing real-time web information access and domain-specific searches.
This MCP server performs multi-topic searches in business, news, finance, and politics using the Tavily API, providing high-quality sources and intelligent summaries.
Provides AI-powered web search capabilities using Tavily's search API, enabling LLMs to perform sophisticated web searches, get direct answers to questions, and search recent news articles.
Enables LLMs to perform sophisticated web searches through proxy servers using Tavily's API, supporting comprehensive web searches, direct question answering, and recent news article retrieval with AI-extracted content.
🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI, Kagi). Combines search, AI responses, content processing, and enhancement features through a single interface.
A Model Context Protocol server that enables web search, scraping, crawling, and content extraction through multiple engines including SearXNG, Firecrawl, and Tavily.
A server that allows AI agents to interact with the Tally API to access DAO governance data, proposals, and metadata using Model Context Protocol (MCP), built with TypeScript and GraphQL.
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service.
Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.