Browse all content tagged with AI
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 mcpignore-filesystem MCP Server brings secure, granular control to AI agent file access by supporting `.mcpignore` patterns. Safeguard sensitive data, automate file tasks, and enable AI-driven development workflows with robust, customizable filesystem interfaces.
The mem0 MCP Server connects AI assistants with structured storage, retrieval, and semantic search for code snippets, documentation, and coding best practices. It enhances development workflows by enabling persistent coding preference storage and seamless integration with AI-powered IDEs.
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 Microsoft Docs MCP Server provides real-time, authoritative access to Microsoft documentation for AI assistants, IDEs, and development tools. Enhance workflows with up-to-date, trustworthy content from Microsoft Learn, Azure, Microsoft 365, and more.
The Momento MCP Server bridges AI assistants with Momento Cache, providing efficient cache operations via MCP tools for real-time data retrieval, cache management, and dynamic context injection in FlowHunt workflows.
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 real-time and historical financial data into your AI workflows with the Nasdaq Data Link MCP Server. Seamlessly connect AI assistants to the Nasdaq Data Link platform for automated data retrieval, market analysis, and data-driven application development.
The National Parks MCP Server bridges AI assistants and developer tools with the U.S. National Park Service API, providing real-time access to park data, alerts, visitor information, and campgrounds. Seamlessly integrate up-to-date national park information into apps and AI workflows.
The Neo4j MCP Server bridges AI assistants with the Neo4j graph database, enabling secure, natural language-driven graph operations, Cypher queries, and automated data management directly from AI-powered environments like FlowHunt.
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 Obsidian MCP Server bridges AI assistants and Markdown knowledge bases like Obsidian vaults. It enables tools such as Claude Desktop to search, read, and summarize notes, making your personal or team knowledge easily accessible within development workflows.
The Office-Word MCP Server bridges AI assistants and Microsoft Word documents, enabling automated document creation, editing, formatting, and content extraction within intelligent workflows.
The ONLYOFFICE DocSpace MCP Server bridges AI assistants and tools with ONLYOFFICE DocSpace, enabling secure, automated document management, collaboration, and workflow orchestration through the standardized Model Context Protocol (MCP).
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 OpenWeather MCP Server connects AI assistants to real-time weather data using the OpenWeatherMap API. It enables retrieval of current weather and 5-day forecasts for any city, with configurable units and language support—ideal for AI chatbots, workflow automation, and smart home integrations.
The Oura MCP Server enables AI assistants to securely access, analyze, and visualize health data from Oura Ring, providing structured endpoints for sleep, readiness, activity, and HRV. Empower your AI flows with actionable health insights, customizable queries, and built-in data visualization.
The Pagos MCP Server bridges AI assistants with the Pagos API, enabling real-time access to BIN (Bank Identification Number) data for secure and intelligent payment workflows. Integrate BIN lookups into your AI flows for fraud prevention, compliance, and analytics.
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 Qiniu MCP Server bridges AI assistants and LLM clients with Qiniu Cloud’s storage and multimedia services. It enables automated file management, media processing, and CDN operations directly from AI-powered workflows via the Model Context Protocol (MCP) interface.
The Ramp MCP Server bridges AI assistants with the Ramp financial data platform, enabling automated workflows, data analysis, and financial process automation through secure, token-efficient access to Ramp's Developer API.
The Raygun MCP Server bridges AI assistants and Raygun's robust API, enabling automated error management, deployment tracking, performance monitoring, source map handling, and team management within FlowHunt workflows.
Integrate Razorpay payment processing directly into your FlowHunt workflows with the Razorpay MCP Server. Enable AI-powered automation for payment capture, transaction management, and secure financial operations using standardized MCP tools.
The Reed Jobs MCP Server connects AI assistants and developer tools to the Reed.co.uk job platform, enabling real-time job search and retrieval via the Reed Jobs API. Ideal for job recommendation systems, recruitment automation, and employment data analysis.
The ScreenshotOne MCP Server bridges AI assistants with the ScreenshotOne API, enabling automated website screenshot capture for development, QA, reporting, and documentation workflows. Integrate real-time visual context into your FlowHunt flows securely and efficiently.
The Serper MCP Server bridges AI assistants with Google Search via the Serper API, enabling real-time web, image, video, news, maps, reviews, shopping, and academic search capabilities directly within FlowHunt workflows.
The Skyvern MCP (Model Context Protocol) Server bridges AI assistants and external systems, enabling seamless integration with databases, APIs, and file storage to automate workflows and enhance AI capabilities within FlowHunt.
Integrate AI assistants with the Terraform Cloud API using the Terraform Cloud MCP Server. Manage infrastructure through natural language, automate workspace and project tasks, and streamline infrastructure-as-code workflows, all from your favorite AI platforms.
Integrate FlowHunt and AI assistants with the Things3 task management app on macOS using the Things3 MCP Server. Automate and control tasks, projects, areas, and tags with robust AppleScript-powered tools and intelligent features for seamless productivity workflows.
Tianji MCP Server connects AI assistants to external data sources, APIs, and services, bridging AI models with real-world resources for enhanced automation, dynamic workflows, and real-time context in AI-driven applications.
Integrate FlowHunt with the TickTick MCP Server to unlock powerful, AI-driven task management automation. Seamlessly connect your AI agents to create, update, and complete tasks in TickTick for streamlined productivity and workflow automation.
The Tinybird MCP Server connects AI assistants with the Tinybird data analytics platform, enabling seamless querying, API integration, and data management directly from your AI workflows.
The Unity MCP Server bridges the Unity Editor with AI model clients such as Claude Desktop, Windsurf, and Cursor, enabling automation, intelligent assistance, and streamlined workflows for game developers within the Unity environment.
The Verodat MCP Server bridges AI assistants with Verodat’s powerful data management, allowing seamless data access, automation, and workflow integration directly within development environments.
The VertexAI Search MCP Server connects AI assistants with Google Vertex AI Search, enabling them to query and retrieve information from private datasets in Vertex AI Datastore. It grounds AI responses in your proprietary data for greater accuracy—ideal for automating enterprise search, augmenting knowledge bases, and building custom AI assistants.
The Vibe Check MCP Server provides AI workflow sanity checks, acting as a strategic pattern interrupt to prevent cascading errors and tunnel vision. Leveraging LearnLM 1.5 Pro (Gemini API), it helps AI systems pause, reflect, and recalibrate, improving code quality and decision-making in complex development pipelines.
The Video Editor MCP Server connects FlowHunt’s AI agents and workflows to the Video Jungle platform, enabling automated video upload, search, metadata retrieval, edit generation, and seamless project management for advanced AI-powered video operations.
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 VMS MCP Server bridges FlowHunt's AI assistants with real-world video surveillance systems, enabling programmatic control over CCTV and VMS software for enhanced security, automation, and monitoring workflows.
The Weather MCP Server connects AI assistants to real-time and historical weather data using the Open-Meteo API—no API keys needed. Enable AI-driven workflows with weather-aware tools for travel planning, event scheduling, automation, and more.
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 Xero MCP Server bridges FlowHunt and Xero’s business accounting APIs via the Model Context Protocol (MCP), enabling secure, real-time automation of contact management, chart of accounts, and invoice operations for AI tools and agents.
The XMind MCP Server seamlessly connects AI assistants to XMind mind map files, enabling advanced querying, extraction, and analysis of mind maps for efficient knowledge management and task automation.
The 21st-dev Magic MCP Server empowers developers to generate modern, customizable UI components instantly through natural language prompts, integrating seamlessly with popular IDEs and enabling real-time previews and brand asset management.
The A2A MCP Server bridges Model Context Protocol (MCP) with the Agent-to-Agent (A2A) protocol, enabling MCP-compatible AI assistants like Claude to interact seamlessly with A2A agents for extended automation and orchestration capabilities.
The AI Agent Marketplace Index MCP Server by DeepNLP enables seamless searching, discovery, and monitoring of AI agents. Integrate advanced search, categorization, web traffic analytics, and agent listing APIs into your AI assistant workflows for streamlined development and deployment.
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.
Connect AI assistants like Claude to any API with an OpenAPI (Swagger) spec. The Any OpenAPI MCP Server enables semantic endpoint discovery and direct API request execution, streamlining private API integrations and dynamic workflows in FlowHunt and beyond.
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.
The arXiv MCP Server bridges AI assistants and the arXiv scholarly article repository, enabling natural language searches, metadata retrieval, PDF downloads, and direct article content loading into LLMs. It streamlines scholarly research workflows and makes academic literature more accessible for developers and AI agents.
The AWS Cost Explorer MCP Server connects AI assistants like Claude with AWS Cost Explorer and Bedrock Model Invocation Logs, enabling natural language queries and analysis of cloud spend data for enhanced AWS cost management and reporting.
The BambooHR MCP Server enables seamless, type-safe integration between AI assistants and the BambooHR HRIS API. It bridges AI and HR data to automate employee directory lookups, project management, work hours submission, and team availability tracking, streamlining HR tasks for developers and organizations.
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 Cashfree MCP Server enables seamless AI-driven integration with Cashfree APIs, allowing developers to automate payment processing, manage payouts, and verify identities using powerful tools inside FlowHunt and other AI workflows.
The ClickHouse MCP Server enables AI assistants and language models to securely interact with ClickHouse databases via standardized tools. Execute SQL queries, list databases, and enumerate tables directly from your ClickHouse cluster for automated data exploration and analytics.
The Code Sandbox MCP Server provides a secure, containerized environment for executing code, enabling AI assistants and developer tools to run, test, and manage code safely using Docker. Ideal for secure code execution, automated testing, and education.
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.
The Coin MCP Server bridges AI-powered applications and CoinMarketCap, providing real-time cryptocurrency listings, quotes, and detailed coin information for research, trading, dashboards, and more.
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 Databricks MCP Server connects AI assistants to Databricks environments, enabling autonomous exploration, understanding, and interaction with Unity Catalog metadata and data assets. It empowers agents to discover data, build SQL queries, and automate complex analytical workflows without manual intervention.
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 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 FDIC BankFind MCP Server connects AI assistants and developer workflows to authoritative U.S. banking data via the FDIC BankFind API, enabling search, retrieval, and integration of official bank records into applications and automations.
The Fetch MCP Server for FlowHunt enables AI agents to retrieve and transform live web content in multiple formats, including HTML, JSON, plain text, and Markdown—empowering dynamic workflows, data extraction, and real-time content integration.
The Firefly MCP Server enables seamless AI-driven discovery, management, and codification of resources across your Cloud and SaaS environments. Integrate with tools like Claude and Cursor for secure, natural language-powered infrastructure automation and resource management.
Integrate real-time flight tracking into your AI workflows with the Flightradar24 MCP Server. Access live aviation data, monitor flights, and enhance travel and situational awareness in your FlowHunt flows.
GitMCP is a free, open-source Model Context Protocol (MCP) server that connects AI assistants with any GitHub repository for code-aware completions, exploration, and development workflows. It reduces code hallucinations by providing live, contextual access to code, issues, PRs, and file structures for enhanced AI-driven productivity.
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.
The Goodnews MCP Server delivers curated, positive news stories by integrating NewsAPI with a Cohere LLM for sentiment ranking. It enables AI assistants and dashboards to provide uplifting content, supporting joyful and context-aware user experiences.
The Google Workspace MCP Server connects AI agents and large language models to Google Workspace services, enabling seamless programmatic automation and workflow integration with Calendar, Gmail, Docs, Sheets, Slides, Chat, Forms, and Drive.
The GreptimeDB MCP Server bridges AI assistants with GreptimeDB, enabling secure, structured, and programmatic access to time-series database functionalities such as table discovery, data querying, and automated reporting—empowering AI-driven workflows in analytics and data management.
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 Honeycomb MCP Server bridges AI assistants and Honeycomb observability data, enabling LLMs to securely analyze metrics, dashboards, and code behavior for enterprise workflows. It automates data analysis, accelerates root cause investigation, and streamlines SLO management within developer operations.
The Image Generation MCP Server empowers AI assistants and applications to generate custom images on demand using the Replicate Flux model, enabling automated, creative, and scalable visual content generation workflows.
The Inoyu MCP Unomi Server bridges Anthropic’s Model Context Protocol (MCP) with Apache Unomi, empowering AI agents to interact with, manage, and contextualize user profiles and session data for advanced, persistent, and personalized conversations.
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 KiCad MCP Server bridges AI assistants and the KiCad EDA ecosystem, enabling seamless access, discovery, and management of PCB projects for streamlined hardware workflows.
Integrate AI assistants with Label Studio using the Label Studio MCP Server. Seamlessly manage labeling projects, tasks, and predictions through standardized MCP tools for efficient data annotation and machine learning workflows.
The LaunchDarkly MCP Server connects AI assistants and agents with LaunchDarkly’s feature management platform via the Model Context Protocol, enabling automated feature flag management, environment configuration, rollout orchestration, and workflow automation from within AI-powered tools.
The LLM Context MCP Server bridges AI assistants with external code and text projects, enabling context-aware workflows for code review, documentation generation, and project exploration via the Model Context Protocol (MCP).
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 MetaTrader MCP Server connects AI Large Language Models to MetaTrader 5, enabling automated trading, portfolio management, and intelligent market analysis directly from AI-driven workflows.
The Metricool MCP Server connects FlowHunt AI agents to the Metricool API, enabling seamless access to social media analytics, post scheduling, and campaign management across multiple networks for data-driven marketing workflows.
The Mindmap MCP Server transforms Markdown documents into interactive mindmaps, empowering developers, educators, and AI assistants to visualize hierarchical information, organize knowledge, and streamline content planning through dynamic, visual representations.
The MSSQL MCP Server connects AI assistants with Microsoft SQL Server databases, enabling advanced data operations, business intelligence, and workflow automation directly from your AI flows. Execute queries, manage schemas, and generate business insights seamlessly.
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 Neon MCP Server connects AI assistants with the Neon Management API and Neon-hosted databases, streamlining cloud Postgres management and enabling secure, automated workflows for database and infrastructure operations.
The Nocodb MCP Server bridges AI assistants and Nocodb databases, providing seamless CRUD operations, schema management, and file-based table creation via the Model Context Protocol (MCP). Enhance your AI workflows with automated, standardized access to all your Nocodb data.
The Nomad MCP Server bridges AI assistants and HashiCorp Nomad, enabling real-time orchestration, job management, and infrastructure automation directly from FlowHunt workflows and other AI tools.
The oatpp-mcp MCP Server implements Anthropic’s Model Context Protocol for the Oat++ web framework, bridging AI assistants with APIs, files, and tools for seamless backend automation and workflow integration.
