Browse all content tagged with AI Integration
The Azure Data Explorer (ADX) MCP Server enables AI assistants and agents to connect seamlessly with Azure Data Explorer clusters, execute KQL queries, explore resources, retrieve table schemas, sample data, and access table statistics, all through standardized MCP interfaces. This integration empowers secure, automated data management and advanced analytics from within AI-driven workflows.
The Azure DevOps MCP Server acts as a bridge between natural language requests and the Azure DevOps REST API, enabling AI assistants and tools to automate DevOps workflows, manage work items, and access project/team information directly from conversational interfaces.
The Azure MCP Server enables seamless integration between AI agents and Azure's cloud ecosystem, allowing AI-powered automation, resource management, and workflow orchestration directly from tools like VS Code, FlowHunt, and GitHub Copilot for Azure.
The Chess.com MCP Server bridges the Chess.com public API with AI workflows via MCP, enabling seamless access to player profiles, statistics, and game records for chess-focused applications.
The Inbox Zero MCP Server acts as an integration layer between AI assistants and external data sources, APIs, and services, streamlining development workflows by enabling standardized, context-aware automation and data access.
The json2video MCP Server connects FlowHunt and AI agents to the json2video API for programmatic, structured video generation and status monitoring. It enables dynamic creation and management of video projects with scenes, media, and subtitles, making automated video content accessible to developers and LLM workflows.
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 mcp-searxng MCP Server enables FlowHunt AI agents to perform real-time, privacy-focused web searches using SearXNG, an open-source meta-search engine. It augments LLM capabilities with fresh, multi-source internet data for research, fact-checking, and dynamic applications.
The onenote MCP Server connects AI assistants with Microsoft OneNote, enabling automated note retrieval, organization, and smart search through standardized protocols. Integrate OneNote’s capabilities into your AI workflows for smarter note-taking and knowledge management.
The Prefect MCP Server bridges AI assistants and the Prefect workflow orchestration platform, enabling natural-language management of flows, deployments, runs, and more. Easily automate, monitor, and control Prefect resources through FlowHunt or other AI-powered interfaces.
The Pubchem MCP Server bridges AI assistants and the PubChem API, enabling automated retrieval of chemical and drug information—such as molecular details, synonyms, and identifiers—for use in research, education, and intelligent applications.
py-mcp-line is a Python-based MCP server that enables AI assistants to access and interact with LINE Bot messages. It exposes resources, supports advanced filtering, and provides tools for conversational data analysis, chatbot development, and message archiving.
The Bitrise MCP Server bridges AI assistants and the Bitrise platform, enabling secure, programmatic access to Bitrise APIs for streamlined CI/CD workflows. Manage apps, trigger builds, and handle artifacts directly from FlowHunt and other AI-driven environments.
The Burp MCP Server bridges Burp Suite and AI clients via the Model Context Protocol (MCP), enabling automated security testing, workflow automation, and AI-augmented analysis for web application security professionals.
The cheqd MCP Server integrates decentralized identity management into AI workflows, enabling secure identity verification, credential management, and interoperability with decentralized networks via standardized MCP interfaces.
The Cloudflare MCP Server bridges AI assistants and Cloudflare’s cloud services, enabling natural language automation for configurations, logs, builds, and documentation. Easily integrate Cloudflare’s APIs and observability into AI-powered workflows with secure, robust setup.
The Cronlytic MCP Server brings seamless AI-powered automation to serverless cron job infrastructure, enabling LLMs to manage, monitor, and optimize scheduled tasks through a unified Model Context Protocol (MCP) interface.
DexPaprika MCP Server provides real-time and historical crypto token, DEX, and liquidity data across blockchains via natural language queries. Enable AI agents or workflows to analyze tokens, track portfolios, and perform DeFi analytics through a simple, API-key-free MCP interface.
DocsMCP is a Model Context Protocol (MCP) server that empowers Large Language Models (LLMs) with real-time access to both local and remote documentation sources, enhancing developer workflows and AI-powered assistance by enabling instant, context-aware documentation lookup.
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.
Integrate and automate Grafana’s dashboards, datasources, and monitoring tools into AI-driven development workflows using FlowHunt's Grafana MCP Server. Enable seamless AI-powered dashboard management, query execution, and observability integration.
The Headless Gmail MCP Server allows seamless, headless interaction with Gmail accounts for sending, retrieving, and managing emails. Designed for secure, remote, and containerized environments, it simplifies OAuth flows and credential management for automated workflows and AI-powered integrations.
The iFlytek Workflow MCP Server integrates AI assistants with iFlytek's workflow automation platform, enabling seamless scheduling, orchestration, and execution of business and data workflows through the Model Context Protocol (MCP).
The KWDB MCP Server connects AI assistants with the KWDB database, enabling business intelligence, data manipulation, and seamless integration with FlowHunt workflows. It offers secure, standardized access to database queries, metadata, and schema exploration through Model Context Protocol.
Lara Translate MCP Server connects AI assistants and applications to the Lara Translate API, enabling professional-grade, context-aware language translation, detection, and seamless workflow integration within FlowHunt.
Maestro MCP Server bridges AI assistants and the Bitcoin ecosystem, providing secure, programmable access to blockchain data and transaction management via the Model Context Protocol (MCP). Ideal for automating Bitcoin workflows and enhancing AI-driven development.
matlab-mcp-tools is an MCP server that connects AI assistants and development environments with MATLAB, enabling script execution, workspace management, section-based code running, and automated script creation from MCP-compatible clients like Cline and Cursor.
MCP GraphQL is a Model Context Protocol (MCP) server that standardizes access to GraphQL APIs, dynamically exposing each query as a tool for AI assistants and developers. It enables seamless integration, data retrieval, and workflow automation with minimal setup.
The MCP Open Library server bridges AI assistants with the Internet Archive's Open Library API, enabling seamless search and retrieval of book, author, and media data for bibliographic research, cataloging, and enhanced digital experiences.
The nx-mcp MCP Server bridges Nx monorepo build tools with AI assistants and LLM workflows via the Model Context Protocol. Automate workspace management, run Nx commands, and empower intelligent project analysis in your Nx-based codebase.
The Pandoc MCP Server enables seamless, automated document format conversion using the powerful pandoc tool. Integrate it with FlowHunt or other AI systems to transform content between Markdown, DOCX, HTML, and more—while preserving document structure and formatting.
Connect AI assistants to the PostHog analytics platform using the PostHog MCP Server. Enable feature flag management, error analytics, and operational insights directly from your AI workflows in FlowHunt.
Connect your AI assistants and workflows with the Rijksmuseum’s vast art collection using the Rijksmuseum MCP Server. Enable natural language exploration, detailed analysis, and high-resolution image access for artworks, artists, and curated collections—all through powerful MCP tooling.
The ScrAPI MCP Server empowers AI assistants to extract live web content—even from sites protected by captchas, bot detection, or geofencing. By acting as a bridge to the ScrAPI service, it enables automated scraping of HTML or Markdown for real-time data enrichment, research automation, and more.
The Semgrep MCP Server connects FlowHunt’s AI agents to the powerful Semgrep code analysis engine, enabling automated security scanning, AI-augmented code review, and seamless compliance enforcement within your development workflows.
The Smartlead MCP Server allows seamless integration of AI assistants and automation tools with the Smartlead email marketing platform. It enables programmatic access to campaign and lead management, analytics retrieval, and bulk operations directly from MCP-compatible clients.
The Strava MCP Server bridges large language models (LLMs) with the Strava API, enabling AI assistants to securely access, analyze, and interact with fitness data such as activities, stats, routes, and segments. Ideal for developers and AI systems seeking streamlined, intelligent integration with Strava.
The Telegram MCP Server bridges AI assistants and clients with Telegram, enabling programmatic interaction with Telegram chats, messages, groups, and users. Powered by the Telethon library, it streamlines automation, group management, and chat analysis for developers and AI workflows.
The AlibabaCloud DataWorks MCP Server enables AI assistants to manage and automate Alibaba Cloud DataWorks resources through a standardized Model Context Protocol (MCP) interface, facilitating seamless integration, secure operations, and efficient cloud workflow automation.
Integrate Apache Airflow into your FlowHunt workflows with the Apache Airflow MCP Server. This bridge enables AI agents to manage, monitor, and automate Airflow DAGs through a standardized protocol, unlocking seamless workflow orchestration, monitoring, and dynamic pipeline management.
The Apify MCP Server connects AI assistants with the Apify platform, enabling seamless automation, data extraction, and workflow orchestration via standardized MCP tools. Trigger, manage, and retrieve results from Apify Actors through a secure, flexible bridge.
Integrate your AI assistants with Asgardeo for streamlined identity and access management. The Asgardeo MCP Server lets you manage applications, configure authentication flows, and automate identity operations through natural language and LLM tools.
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 Campertunity MCP Server connects AI assistants and developer tools to rich camping and outdoor recreation data, enabling campground search, availability checks, detailed information retrieval, and automated bookings via standardized APIs. Designed for seamless trip planning, it powers AI and workflow automation with real-time, up-to-date campground data.
The CRIC物业AI MCP Server connects AI assistants with property management data, APIs, and services, enabling automation and data-driven workflows for property management through the Model Context Protocol (MCP).
The Crypto Sentiment MCP Server integrates real-time and historical cryptocurrency sentiment analysis into AI agents, leveraging Santiment's social and news data. It enables developers and traders to track market mood, detect trends, set volatility alerts, and analyze crypto community engagement directly within FlowHunt and other AI frameworks.
The Discogs MCP Server enables AI assistants and development tools to seamlessly connect with the Discogs music database, providing automated access to music releases, artists, and labels for rich app integrations and workflow automation.
The Edgee MCP Server connects AI assistants and LLM-based agents with the Edgee API, enabling advanced organization, project, component, and user management for developers using the Model Context Protocol (MCP).
The Globalping MCP Server connects FlowHunt and AI assistants to a worldwide network measurement platform, enabling real-time network diagnostics, monitoring, and benchmarking directly from natural language interfaces. Run ping, traceroute, DNS, MTR, and HTTP tests from thousands of locations globally, all with robust API security and seamless integration.
Integrate Google Analytics 4 (GA4) data with AI assistants and developer tools using the Model Context Protocol (MCP). The Google Analytics MCP Server enables natural language queries, automated reporting, and seamless analytics workflow integration for tools like Claude, Cursor, Windsurf, and FlowHunt.
The HDW MCP Server bridges AI assistants and LinkedIn, offering advanced programmatic access to LinkedIn data and management through the HorizonDataWave API. Use it for talent sourcing, market research, automated outreach, and content engagement—all within FlowHunt.
The Lean LSP MCP server bridges AI assistants and Lean Theorem Prover projects using the Language Server Protocol, enabling agents to access diagnostics, goal states, code completion, theorem search, and more for advanced Lean workflow automation.
The Monday.com MCP Server connects AI assistants and MCP clients directly to Monday.com, enabling seamless automation of boards, items, updates, and documents for powerful project management workflows within FlowHunt.
The MSSQL MCP Server enables secure, auditable, and structured interaction between FlowHunt and Microsoft SQL Server databases. It supports table listing, data exploration, custom query execution, and full logging for compliance and development automation.
The NASA MCP Server provides a unified interface for AI models and developers to access over 20 NASA data sources. It standardizes retrieval, processing, and management of NASA’s scientific and imagery data, enabling seamless integration for research, education, and exploration workflows.
The Nodit MCP Server bridges AI agents and developers to structured, multi-chain blockchain data via Nodit’s Web3 infrastructure. It enables LLMs and automation tools to seamlessly access, analyze, and utilize real-time blockchain context for a wide range of workflows.
The NS Travel Information MCP Server connects AI assistants to real-time Dutch railway data from NS (Nederlandse Spoorwegen), enabling live train schedules, travel planning, and disruption alerts for seamless journeys across the Netherlands.
The Phone MCP Server is a plugin for the Model Context Protocol (MCP) that enables remote control of Android devices using ADB commands. It bridges AI assistants and Android devices for automation, management, and real-time interactions, empowering workflows that require direct physical device access.
The Playwright MCP Server empowers AI agents and developers with advanced browser automation and API interaction, enabling seamless integration in development environments like Claude Desktop, Cline, Cursor IDE, and more.
The Qwen Max MCP Server bridges the Qwen Max language model with external clients and AI assistants using the Model Context Protocol (MCP). It enables large-context inference, multi-step reasoning, and seamless integration into tools like Claude Desktop, making it ideal for advanced language model workflows.
The Solr Search MCP Server integrates Large Language Models (LLMs) with Apache Solr, enabling secure, authenticated, and type-safe search and retrieval of documents directly from Solr collections via the Model Context Protocol (MCP). Empower your AI assistants with enterprise-grade search, advanced filtering, sorting, and asynchronous queries—all within your FlowHunt workflows.
The TON Blockchain MCP Server enables natural language interaction with the TON blockchain for AI assistants. It supports real-time analysis, scam detection, transaction forensics, trading pattern analysis, and trend discovery through secure, API-driven integration.
The Tyk Dashboard MCP Server transforms OpenAPI/Swagger specs into dynamic MCP servers, enabling AI assistants to interact directly with REST APIs as tools. It streamlines API integration for LLM-powered agents by exposing endpoints for querying, testing, and automation.
The USPTO Patent MCP Server connects AI assistants and developer tools to the United States Patent and Trademark Office's databases, enabling automated patent search, retrieval, and analysis in legal, R&D, and IP workflows.
Visio MCP Server enables programmatic creation and editing of Microsoft Visio diagrams via a standardized API. Integrate Visio automation into your AI workflows, allowing for dynamic diagram generation, shape manipulation, batch editing, and seamless export within FlowHunt or other Model Context Protocol ecosystems.
The WildFly MCP Server connects WildFly servers to generative AI tools, enabling natural language management and monitoring of WildFly environments through FlowHunt. Automate server operations, streamline troubleshooting, and integrate with AI-driven workflows for efficient server administration.
The Xcode MCP Server bridges AI assistants with the Xcode development environment, enabling automation of project management, file operations, builds, testing, dependency management, and iOS simulator control for streamlined iOS/macOS app development.
The Alibaba Cloud RDS OpenAPI MCP Server connects AI assistants to Alibaba Cloud RDS databases via OpenAPI, enabling automated database management, secure credential handling, and seamless integration into AI-driven workflows using the Model Context Protocol.
The Atlassian MCP Server bridges AI assistants with Atlassian tools like Jira and Confluence, enabling automated project management, documentation retrieval, and enhanced software development workflows within FlowHunt.
The Cartesia MCP Server bridges AI assistants and clients like Cursor and Claude with Cartesia’s advanced voice and audio API, enabling text-to-audio, voice localization, audio infilling, and voice-changing capabilities within FlowHunt and other platforms.
The CircleCI MCP Server bridges CircleCI’s powerful CI infrastructure with the MCP ecosystem, enabling AI assistants to automate and monitor workflows, access build analytics, and streamline development pipelines directly from FlowHunt.
The Couchbase MCP Server connects AI agents and LLMs directly to Couchbase clusters, enabling seamless natural language database operations, automated management, and interactive querying within developer workflows.
The EdgeOne Pages MCP Server enables rapid, automated deployment of HTML, folders, or zip files as static sites to EdgeOne Pages with instant public URLs—perfect for streamlining web publishing, CI/CD pipelines, and AI-driven workflows.
The ElevenLabs MCP Server integrates ElevenLabs text-to-speech API into AI workflows, enabling automated, high-quality voice synthesis, voice management, and audio history tracking through standardized Model Context Protocol interfaces.
The GNURadio MCP Server brings automated, AI-driven creation and management of GNURadio flowgraphs to FlowHunt. Integrate with LLMs, automate SDR workflows, and connect custom clients for scalable Software Defined Radio prototyping.
The KeywordsPeopleUse MCP Server integrates FlowHunt and other AI assistants with advanced keyword research capabilities from the KeywordsPeopleUse platform. It provides programmatic access to People Also Ask questions, Google autocomplete suggestions, Reddit/Quora topic questions, and semantic keyword data—enabling streamlined SEO research and content ideation within your AI workflows.
Lambda Capture MCP Server enables semantic search and real-time querying over macroeconomic datasets for quant research AI agents. It connects AI assistants to external macro data via the Model Context Protocol (MCP), powering advanced economic insights and automated reporting workflows.
Connect FlowHunt and AI assistants to LeetCode’s coding problems, user profiles, daily challenges, and contest data via the LeetCode MCP Server. Streamline automated coding practice, analytics, and interview prep with seamless API access.
Lspace MCP Server is an open-source backend and standalone application implementing the Model Context Protocol (MCP). It enables persistent, searchable knowledge by capturing insights from any AI session and integrating them across tools, empowering developers to build intelligent, context-enriched workflows.
The mcp-rquest MCP Server empowers AI assistants with advanced, browser-like HTTP request capabilities, robust anti-bot evasion, and document-to-Markdown conversion. Powered by the rquest engine, it enables secure, realistic web interactions and efficient handling of large web or document responses.
The mcp-searxng-public MCP Server bridges AI assistants with public SearXNG metasearch instances, parsing HTML search results into clean JSON for real-time, privacy-respecting web search and information retrieval.
MCP-Soccerdata is an open-source MCP server that connects to the SoccerDataAPI, enabling real-time football (soccer) match insights for AI workflows. It provides live match listings, detailed match events, team lineups, odds, and league metadata for use in MCP-enabled clients like Claude Desktop, Cursor, Windsurf, and Cline.
The MikroTik MCP Server bridges FlowHunt AI assistants with MikroTik RouterOS devices, automating VLAN management, firewall configuration, and more. Streamline and secure your network operations with AI-driven workflows.
The MySQL MCP Server provides a secure bridge between AI assistants and MySQL databases. It enables structured database exploration, querying, and data analysis through a robust Model Context Protocol (MCP) interface, supporting safe integration into AI workflows.
The Notion MCP Server connects FlowHunt’s AI agents directly to your Notion workspace, enabling advanced automation, database management, and content operations. Integrate Notion into your workflows for seamless AI-driven content creation, search, and updates.
The Oxylabs MCP (Model Context Protocol) Server is a bridge between AI assistants and the real-world web, offering a unified API to extract, structure, and deliver clean data from any website. It enables AI models to access live web data, automate extraction, and enhance workflows with real-time information.
ssh-mcp-server is a secure Model Context Protocol (MCP) server that enables AI assistants and development tools to safely execute SSH commands and transfer files on remote servers, all without exposing credentials. Ideal for remote management, deployment automation, and file synchronization in your FlowHunt workflows.
The Stripe MCP Server integrates Stripe’s payment processing with AI workflows, enabling secure management of payments, customers, and refunds directly from LLM-driven platforms and development environments.
The System Health MCP Server for FlowHunt enables real-time remote Linux server monitoring—exposing CPU, memory, disk, network, and security metrics to AI assistants via the Multi-Channel Protocol. Automate infrastructure health checks, receive threshold-based alerts, and streamline DevOps workflows with direct AI integration.
UnityMCPIntegration connects AI agents with the Unity game engine, enabling real-time control, automated testing, procedural content generation, and AI-driven gameplay directly within Unity via Model Context Protocol (MCP).
The Vantage MCP Server bridges AI assistants and MCP clients with your cloud cost data, enabling natural language querying and analysis of cloud spend through Vantage's APIs. Easily analyze, forecast, and manage cloud expenses for AWS, Azure, GCP, and more.
The Vertica MCP Server enables seamless integration between AI assistants and OpenText Vertica databases, supporting secure SQL operations, bulk data loading, schema inspection, and real-time analytics for enterprise data workflows.
The YFinance MCP Server enables FlowHunt users to access real-time and historical stock market data via a Python-based API, leveraging the yfinance library for seamless financial workflows, including market analysis, investment research, and dashboard integration.
Integrate AI assistants and clients with ZIZAI Recruitment, a next-gen recruitment platform that leverages intelligent assessments for precise talent-job matching. Automate job search, application, recruiter entity management, and talent recommendation workflows via FlowHunt MCP.
The Apache IoTDB MCP Server enables seamless integration of the IoTDB time-series database into AI workflows, allowing AI assistants and developer tools to execute SQL queries, explore schemas, and handle metadata operations directly from FlowHunt and other LLM-powered environments.
The Apollo MCP Server bridges AI assistants with GraphQL APIs, exposing GraphQL operations as MCP tools. It enhances developer workflows by enabling AI-driven queries, mutations, and automation tasks over standardized protocols.
The AppleScript MCP Server enables AI agents and development tools to execute AppleScript code on macOS, automating Mac applications and system functions for enhanced productivity and workflow automation.
The BICScan MCP Server connects FlowHunt and AI assistants to the BICScan API for real-time blockchain risk scoring and asset inspection. It enables secure, up-to-date blockchain research, risk monitoring, and fraud detection in your AI workflows.
The BoldSign MCP Server connects Large Language Models (LLMs) to the BoldSign API, enabling AI-powered agents to automate electronic signature workflows, manage templates, and track document status within FlowHunt and development environments.
The GitHub Enterprise MCP Server connects AI assistants to private GitHub Enterprise repositories, enabling automation of repository management, issue tracking, pull request operations, and organizational data insights for enterprise development workflows.
