Browse all content tagged with Search
Integrate the Glean MCP Server with FlowHunt to empower your AI assistants with advanced enterprise search and conversational Q&A using the Glean API. Streamline workflows, access internal knowledge bases, and automate support with a secure, Docker-based setup.
MCP-Grep exposes the Unix grep utility as a Model Context Protocol (MCP) server, enabling AI assistants and developers to perform advanced text and pattern searches via a standardized API. Ideal for log analysis, codebase exploration, security audits, and more.
The Bing Search MCP Server integrates Microsoft Bing Search API with FlowHunt and other AI clients, enabling real-time web, news, and image search capabilities for AI assistants. It supports multiple platforms, features robust error handling, rate limiting, and secure API key management for seamless and secure development workflows.
The Elasticsearch MCP Server bridges AI assistants with Elasticsearch and OpenSearch clusters, enabling advanced search, index management, and cluster operations directly from your AI workflows. Integrate real-time search and analytics into your FlowHunt flows with ease.
The Azure Wiki Search MCP Server enables AI agents and developers to programmatically search and retrieve content from Azure DevOps wiki, streamlining access to internal documentation and knowledge bases through the MCP specification.
The Lucene MCP Server brings enterprise-grade, full-text search and document management to FlowHunt via Apache Lucene. Easily integrate robust search, indexing, and metadata filtering into your AI workflows using this Java-based, MCP-compliant server.
The Needle MCP Server seamlessly connects AI assistants with document management and semantic search via the MCP protocol, enabling automated information retrieval, knowledge base augmentation, and streamlined document workflows in FlowHunt and beyond.
The OpenSearch MCP Server enables seamless integration of OpenSearch with FlowHunt and other AI agents, allowing programmatic access to search, analytics, and content management functionalities via the Model Context Protocol.
The Tavily MCP Server bridges AI assistants with the live web, offering advanced real-time search, data extraction, website mapping, and crawling to dramatically enhance contextual awareness and real-time capabilities in AI agents.
The Typesense MCP Server connects AI agents to Typesense, an open-source search engine, enabling LLMs to search, retrieve, and analyze structured data collections in real time. Integrate powerful document search, analytics, and schema discovery tools directly into your AI workflows with secure API key handling.
The Algolia MCP Server enables FlowHunt users to connect AI assistants to Algolia’s search and analytics APIs via the Model Context Protocol, streamlining search, analytics, and monitoring workflows through natural language.
The Discourse MCP Server bridges AI agents and Discourse forums, enabling automated post search, knowledge retrieval, and community management through a standardized Model Context Protocol interface.
Easily search and extract information from CSV files in your workflows. The CSV Document Search component lets you find specific data by text search or advanced pandas query expressions, supporting both internal and external CSV sources. Customize search columns, case sensitivity, and result limits to fit your needs—perfect for integrating structured data into automated flows.
Integrate real-time web search into your flows with the DuckDuckGo Search component. Instantly fetch up-to-date URLs and content from DuckDuckGo based on user queries, making your workflows smarter and more informed.
The JSON Document Search component enables powerful search capabilities within JSON files, using either text search or advanced query expressions. Connect external or internal JSON data, configure search parameters, and retrieve relevant information efficiently for your workflow.
Unlock the power of your workflow with the Search Memory component—retrieve relevant information from stored memory using user queries. Efficiently search, filter, and extract documents or knowledge snippets, enabling your AI flows to access context-aware resources and long-term data.
Discover how 'Did You Mean' (DYM) in NLP identifies and corrects errors in user input, such as typos or misspellings, and suggests alternatives to enhance user experience in search engines, chatbots, and more.
Faceted search is an advanced technique that allows users to refine and navigate large volumes of data by applying multiple filters based on predefined categories, known as facets. Widely used in e-commerce, libraries, and enterprise search, it enhances user experience by making it easier to find relevant information efficiently.
Build tools that automatically search and filter HubSpot contacts using virtually any property, both standard and custom.
Effortlessly chat with any Stack Exchange site using AI Agents. Get concise answers, source links, and more. Enhance your search with FlowHunt's tool!
