Browse all content tagged with MCP
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 BNBChain MCP Server is a plug-and-play Model Context Protocol (MCP) server for integrating Binance Smart Chain blockchain operations into AI agents, development platforms, and automation workflows. Easily send BNB, transfer BEP-20 tokens, deploy new tokens, interact with smart contracts, manage DeFi liquidity, and more—all from your FlowHunt flows or compatible clients.
The Chargebee MCP Server connects FlowHunt AI agents to external data sources, APIs, and SaaS platforms, enabling seamless integration of real-world billing and subscription management workflows into your AI-powered environments.
Debugg AI MCP Server offers AI-driven browser automation and end-to-end UI testing for web applications. Integrate with FlowHunt or CI/CD pipelines to automate UI testing, simulate user behavior, and analyze visual output, all via natural language or CLI tools.
The Dify MCP Server bridges AI assistants with Dify workflows, enabling programmatic workflow orchestration, API integration, and external service connections through a configurable MCP interface.
The Discord MCP Server bridges AI assistants with Discord, enabling automated server management, message automation, and integration with external APIs via the Model Context Protocol (MCP) in the Klavis-AI platform.
Eunomia MCP Server is an extension of the Eunomia framework that orchestrates data governance policies—like PII detection and access control—across text streams in LLM-based applications, ensuring robust compliance and security in AI-driven environments.
The Freqtrade MCP Server connects AI assistants with the Freqtrade cryptocurrency trading bot, enabling AI-driven automated trading, market data access, and portfolio management through seamless REST API integration.
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 MongoDB MCP Server enables seamless integration between AI assistants and MongoDB databases, allowing for direct database management, query automation, and data retrieval through the standardized Model Context Protocol (MCP).
The n8n MCP Server enables seamless integration between AI assistants and the n8n automation platform, allowing FlowHunt users to trigger, monitor, and manage automated workflows using AI agents.
Nacos-MCP-Router is a powerful MCP Server that centralizes discovery, installation, and proxying of other MCP servers, bridging protocol gaps and orchestrating service interactions for cloud-native and AI-driven workflows.
The Paradex MCP Server bridges AI agents and the Paradex perpetual futures trading platform, enabling automated trading, real-time market data access, and seamless integration of advanced trading functionalities into AI-driven workflows.
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 Puppeteer Vision MCP Server empowers AI assistants to scrape and convert web pages into Markdown, using advanced AI-driven interaction to bypass interactive barriers like CAPTCHAs and paywalls. It integrates seamlessly into AI workflows via the Model Context Protocol (MCP), streamlining web data extraction and ingestion.
The Pushover MCP Server connects AI agents and workflows to the Pushover notification platform, enabling real-time, programmable push notifications for alerts, reminders, and workflow updates using the Model Context Protocol (MCP).
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 SingleStore MCP Server allows seamless natural language interaction with SingleStore databases and services via AI assistants. Integrate, manage, and monitor SingleStore through standardized Model Context Protocol, enabling advanced operational flows in FlowHunt and other AI-driven tools.
The Starknet MCP Server connects large language models (LLMs) to the Starknet blockchain, enabling AI assistants to query, analyze, and manage blockchain data and smart contracts through a standardized Model Context Protocol (MCP) interface.
The Unleash MCP Server bridges AI assistants and LLM applications to the Unleash Feature Toggle system, enabling automated feature flag management, project discovery, and dynamic feature exposure for AI-driven workflows.
The Weather MCP Server connects FlowHunt and AI assistants to rich, real-time weather data, forecasts, air quality, astronomy, and more via WeatherAPI, streamlining weather-aware workflows and context-rich AI interactions.
The XiYan MCP Server enables natural language interaction with databases via advanced text-to-SQL (XiYan-SQL), letting developers and AI assistants query, update, and extract data without direct SQL. Streamline data-driven workflows, automate analysis, and build intelligent applications with seamless language-to-database integration.
The aranet4 MCP Server enables seamless management, data collection, and analysis for Aranet4 CO2 sensor devices. It bridges AI workflows with real-time and historical environmental data, providing tools for device scanning, configuration, and visualization tailored for FlowHunt and other AI automation platforms.
Connect your AI agents with powerful marketing analytics using the Audiense Insights MCP Server. Seamlessly extract, summarize, and analyze audience intelligence, demographic data, influencer metrics, and content engagement from your Audiense Insights reports to empower smarter, automated workflows in FlowHunt.
The AWS MCP Server integrates FlowHunt with AWS S3 and DynamoDB, enabling AI agents to automate cloud resource management, perform database operations, and handle file storage—all actions are securely logged for audit and compliance.
The AWS Resources MCP Server lets AI assistants manage and query AWS resources conversationally using Python and boto3. Integrate powerful AWS automation and management into your FlowHunt workflows with secure, permission-based operations.
Azure MCP Hub is a central resource for discovering, building, and integrating Model Context Protocol (MCP) servers on Azure. It provides guidance, SDKs, and links to accelerate AI agent development with real API integrations across multiple programming languages.
The Bankless Onchain MCP Server enables structured, programmatic access to blockchain data via the Bankless API, supporting AI assistants and developer tools with real-time contract state, event, and transaction queries across multiple networks.
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 Chronulus MCP Server acts as middleware connecting AI agents to Chronulus forecasting models and external services, enabling seamless real-time prediction, forecasting, and analytics capabilities for advanced AI-driven workflows.
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 Coda MCP Server provides a standardized way for AI assistants to interact with Coda’s platform, enabling document queries, workflow automation, and unified protocol compatibility for seamless integration with FlowHunt and other AI agents.
The Contentful MCP Server bridges AI assistants with Contentful’s Management API, enabling seamless content operations—such as querying, updating, and managing content models—directly within AI workflows. Boost productivity for headless CMS teams with automated migrations, entry management, and workflow automation.
The DeepSeek MCP Server acts as a secure proxy, connecting DeepSeek’s advanced language models to MCP-compatible applications like Claude Desktop or FlowHunt, enabling anonymous API usage, workflow automation, and centralized management.
The Defang MCP Server bridges AI assistants with external data sources, APIs, and services, enabling standardized, context-aware workflows for developers building advanced AI functionalities within FlowHunt.
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 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 Human-In-the-Loop MCP Server for FlowHunt enables seamless integration of human judgment, approval, and input into AI workflows through real-time interactive GUI dialogs, enhancing safety, compliance, and customizability.
Integrate the Hunter MCP Server with FlowHunt to enable your AI agents to access powerful B2B data, automate lead generation, verify emails, enrich contact and company profiles, and streamline sales workflows through natural language.
The JetBrains MCP Server connects AI agents with JetBrains IDEs like IntelliJ, PyCharm, WebStorm, and Android Studio, enabling automated workflows, code navigation, and real-time AI-IDE communication via the Model Context Protocol (MCP).
The k8s-multicluster-mcp MCP Server provides seamless, centralized management of multiple Kubernetes clusters via a standardized API, supporting resource operations, context switching, and cross-cluster comparisons for AI workflows and developer teams.
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.
The LottieFiles MCP Server empowers AI assistants and developers to programmatically search, retrieve, and interact with Lottie animations, streamlining integration of rich animation content into design and development workflows.
The Magic Meal Kits MCP Server acts as a secure bridge between AI assistants and the Magic Meal Kits API, enabling programmatic health checks, server version queries, and secure API access inside FlowHunt and other AI-driven workflows.
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.
The MCP Database Server enables secure, programmatic access to popular databases like SQLite, SQL Server, PostgreSQL, and MySQL for AI assistants and automation tools. It acts as a bridge, empowering context-aware workflows and AI-powered applications to query, manage, and interact with structured data efficiently.
MCP Discovery is a Rust-based command-line tool that automates the discovery and documentation of MCP Server capabilities, tools, and resources. It generates comprehensive, up-to-date documentation in Markdown, HTML, or text formats for seamless integration into developer workflows and CI pipelines.
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 mcp-local-rag MCP Server enables privacy-respecting, local Retrieval-Augmented Generation (RAG) web search for LLMs. It allows AI assistants to access, embed, and extract up-to-date information from the web without external APIs, enhancing research, content creation, and question answering workflows.
The mcp-proxy MCP Server bridges Streamable HTTP and stdio MCP transports, enabling seamless integration between AI assistants and diverse Model Context Protocol (MCP) servers or clients. It expands interoperability, streamlines legacy system integration, and enhances cross-platform AI workflows.
The Metoro MCP Server bridges AI agents with external data sources, APIs, and services, enabling FlowHunt users to automate workflows, standardize integrations, and extend AI agent capabilities via the Model Context Protocol (MCP).
The MongoDB Mongoose MCP Server enables FlowHunt and other AI assistants to interact directly with MongoDB databases, supporting robust data validation, operational hooks, and both schema-based and schemaless workflows. It provides powerful database tools for querying, aggregation, insertion, updating, and index management—empowering natural language, AI-driven database automation.
Integrate Naver's OpenAPI suite into your AI workflows using the Naver MCP Server. Access real-time blog, news, book, encyclopedia, image, and local information searches, content moderation, and more—directly within FlowHunt or your favorite AI development platform.
The Neovim MCP Server bridges AI assistants and Neovim, allowing advanced text editing, file navigation, and codebase management directly from your AI-powered workflows. Seamlessly integrate LLM capabilities into your development with automation, intelligent search, and more.
Integrate Netbird's network management capabilities into your AI workflows with the Netbird MCP Server. Securely retrieve configuration, status, and network details via the standardized Model Context Protocol for streamlined automation and monitoring.
The OP.GG MCP Server provides seamless access to OP.GG gaming data for AI agents via FlowHunt, enabling real-time analytics, player statistics, leaderboards, and automated reporting for game developers and integrators.
The PAIML MCP Agent Toolkit by Pragmatic AI Labs is a zero-configuration MCP server designed to make AI agent workflows more deterministic. It enables seamless integration with external data sources, APIs, and services, supporting agent-based code generation and parallel tool execution.
Integrate real-time, web-wide research into your AI workflows with the Perplexity Ask MCP Server. This MCP server bridges Perplexity's Sonar API with tools like Claude and Cursor, enabling dynamic information retrieval, live web search, and up-to-date question answering directly in your development environment.
The Placid.app MCP Server bridges AI assistants and creative automation by exposing Placid’s template-based image and video generation API as MCP tools. Enable automated marketing content, social media visuals, and personalized creatives directly in your AI 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 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.
Video Still Capture MCP is a Python-based server that provides AI assistants with real-time webcam and video source access through OpenCV, enabling image capture, camera management, and basic image processing via standardized Model Context Protocol interfaces.
The Wikidata MCP Server enables AI agents and developers to interact with the Wikidata API through the Model Context Protocol. It provides tools for searching entities and properties, extracting metadata, and executing SPARQL queries—making semantic data retrieval and knowledge enrichment simple and accessible in modern AI workflows.
The Windows CLI MCP Server bridges AI assistants with Windows command-line interfaces and remote systems via SSH, providing secure, programmable command execution and automation for local and remote environments.
The 1Panel MCP Server bridges AI assistants and the 1Panel management platform, enabling automation, secure remote operations, and real-time AI integration for system administration workflows.
The Algorand MCP Server bridges AI assistants and developers with the Algorand blockchain, supporting data queries, smart contract interactions, and transaction management through standardized LLM interfaces.
The Anki MCP Server bridges the Anki desktop app with AI assistants via the Anki-Connect add-on, enabling programmatic access to flashcards for automated review, adaptive learning, and smart flashcard creation using LLMs.
Armor Crypto MCP empowers AI agents to interact with the crypto ecosystem, providing unified wallet management, swaps, transfers, strategic trades, staking, and predictive analytics. Supporting Solana and soon multiple blockchains, it streamlines blockchain automation via a single backend.
Integrate BrowserStack’s real device and browser cloud into your AI and developer workflows using the Model Context Protocol (MCP) server. Instantly automate, manage, and debug tests on real devices and browsers from within FlowHunt and other supported tools.
The Calendly MCP Server connects AI assistants with Calendly’s scheduling tools through a unified MCP interface, enabling automated event management, appointment scheduling, and seamless calendar integration inside FlowHunt workflows.
The CodeLogic MCP Server connects FlowHunt and AI programming assistants to CodeLogic’s detailed software dependency data, enabling advanced code analysis, visualization, and automated workflows for improved software development efficiency.
Context Portal (ConPort) is a memory bank MCP server that empowers AI assistants and developer tools by managing structured project context, enabling Retrieval Augmented Generation (RAG) and context-aware coding assistance within IDEs.
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 DataHub MCP Server bridges FlowHunt AI agents with the DataHub metadata platform, enabling advanced data discovery, lineage analysis, automated metadata retrieval, and seamless integration with AI-powered workflows.
The Drupal MCP Server integrates Drupal’s powerful content management with AI workflows via the Model Context Protocol (MCP), enabling automation, content operations, and advanced AI-driven site management within FlowHunt.
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 Ergo MCP Server connects AI assistants to the Ergo blockchain, enabling on-chain data access, analytics, and seamless integration into AI workflows. Ideal for blockchain analytics, token monitoring, and automation with FlowHunt.
The EVM MCP Server offers seamless blockchain integration for AI and development workflows across multiple EVM-compatible networks. It enables smart contract interactions, blockchain querying, and transaction management from a unified, AI-friendly interface.
The Godot MCP Server connects FlowHunt with the Godot game engine, enabling AI-driven automation of Godot editor tasks, project launches, and real-time debug output capture for streamlined game development workflows.
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 gotoHuman MCP Server integrates human-in-the-loop workflows into AI assistants and agentic development environments. It enables AI agents to request human approvals, manage notifications, and facilitate team-based decision-making with customizable review forms and robust authentication.
Home Assistant MCP Server (hass-mcp) bridges AI assistants with your Home Assistant smart home, enabling LLMs to query, control, and summarize devices and automations via the Model Context Protocol.
The JavaFX MCP Server bridges AI assistants and JavaFX-based applications, enabling LLM-powered workflows to interact with JavaFX UI components, automate app state queries, and streamline testing for Java GUIs.
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 MalwareBazaar MCP Server integrates real-time malware intelligence from the Malware Bazaar platform into your FlowHunt workflow. Access the latest malware samples, detailed metadata, and tag-based hunting for advanced cybersecurity research and automation.
MCP Solver is a Model Context Protocol (MCP) server offering advanced SAT, SMT, and constraint optimization capabilities for AI assistants and LLMs. It enables interactive creation, modification, and solving of complex mathematical models, streamlining workflows in research, engineering, and decision-making.
The MCP-Server-Creator is a meta-server that enables rapid creation and configuration of new Model Context Protocol (MCP) servers. With dynamic code generation, tool building, and resource management, it streamlines the development of custom AI connectivity and integration servers, empowering technical teams to automate workflows and accelerate deployment.
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 Multi-Model Advisor MCP Server empowers FlowHunt to connect AI assistants with multiple local Ollama models, enabling simultaneous querying and synthesis of diverse AI perspectives for richer, more nuanced responses.
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 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 ntfy-me-mcp MCP Server bridges AI assistants and ntfy notification servers, enabling programmatic sending and receiving of notifications via the Model Context Protocol (MCP) for streamlined, secure, and automated notification workflows.
The Offorte MCP Server connects AI assistants to the Offorte proposal platform, enabling automated proposal creation, contact management, and workflow integration for streamlined business operations.
Enable your AI assistants to access real-time web search data with the OpenAI WebSearch MCP Server. This integration allows FlowHunt and other platforms to deliver up-to-date, context-rich answers by bridging AI agents with OpenAI's web search capabilities.
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 Pandoc MCP Server bridges AI assistants and document conversion by exposing Pandoc’s universal converter through the Model Context Protocol (MCP). Automate format transformations—such as Markdown to PDF/HTML—and streamline document workflows inside FlowHunt and other AI-powered systems.
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 Quarkus MCP Server enables FlowHunt users to connect LLM-powered agents to external databases and services via Java-based MCP servers, streamlining automation, integration, and real-world data access for AI workflows.
Enable your AI agents and LLMs to manage, search, and curate bookmarks programmatically using the Raindrop.io MCP Server. Seamlessly organize and retrieve web resources through FlowHunt’s MCP component integration.
