Offorte MCP Server Integration
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.
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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 OpenDota MCP Server connects AI assistants to live Dota 2 data via the OpenDota API, enabling advanced analytics, match reporting, hero meta analysis, and community tools by exposing detailed player, match, and hero information through a standardized protocol.
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 Peacock MCP Server demonstrates how an MCP server can connect AI assistants to external APIs within Visual Studio Code, enabling automated theming, workspace identification, and enhanced developer workflows. Ideal as a learning resource or template for building custom MCP servers.
Integrate FlowHunt with Pinecone vector databases using the Pinecone MCP Server. Enable semantic search, Retrieval-Augmented Generation (RAG), and efficient document management directly within your AI workflows.
The Pinner MCP Server for FlowHunt enables automated, secure pinning of Docker base images and GitHub Actions to immutable digests, enhancing supply chain security and reproducibility in development workflows.
The PubNub MCP Server bridges AI assistants and development environments with real-time communication and external data sources via PubNub’s reliable messaging network. Enhance your coding workflows with live data, seamless API integration, and cross-platform support for platforms like Cursor, Windsurf, Claude Desktop, and more.
The Qdrant MCP Server integrates the Qdrant vector search engine with FlowHunt, providing a semantic memory layer for AI assistants and LLM-powered applications. It enables storing, retrieving, and managing contextual data, supporting advanced search, knowledge retrieval, and contextual chatbots.
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.
The RAG Web Browser MCP Server equips AI assistants and LLMs with live web search and content extraction capabilities, enabling retrieval-augmented generation (RAG), summarization, and real-time research inside FlowHunt workflows.
The Ragie MCP Server enables AI assistants to perform semantic search and retrieve relevant information from Ragie knowledge bases, enhancing development workflows with contextual knowledge integration.
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.
The Report Generation MCP Server empowers AI agents to automate report creation by connecting to external data sources, assembling documents, and formatting outputs via customizable templates—all through Model Context Protocol (MCP) integration.
Integrate League of Legends data into your AI workflows using the Riot MCP Server. Access player stats, ranked performance, champion mastery, and match summaries through a standardized API for seamless AI-powered applications.
The Riza MCP Server bridges AI assistants and the Riza platform’s isolated code interpreter, enabling secure code execution, tool management, and workflow automation via the Model Context Protocol. Integrate advanced code tools and automate coding tasks seamlessly in FlowHunt.
Rust MCP Filesystem is a blazing fast, asynchronous, and lightweight MCP server written in Rust, enabling secure and efficient filesystem operations for AI-assisted workflows. It offers advanced glob search, read-only safety by default, and seamless integration with FlowHunt and other development tools.
The Search1API MCP Server integrates real-time web search and crawling capabilities into AI agents via the powerful Search1API, enabling live information retrieval, automated research, and dynamic content generation within your development environment.
The SEC EDGAR MCP Server connects AI agents with the SEC’s EDGAR system, enabling automated access, querying, and analysis of public financial filings and disclosures for finance, compliance, and research workflows.
The ServiceNow MCP Server bridges AI assistants like Claude with ServiceNow, enabling efficient data retrieval, workflow automation, and ticket management directly through the ServiceNow API. It streamlines IT operations and empowers teams to automate service requests and reporting.
The ShaderToy MCP Server connects AI assistants like Claude to ShaderToy, enabling them to read, generate, and share GLSL shaders by leveraging ShaderToy’s expansive repository. This integration streamlines shader creation, exploration, and community sharing for artists and AI developers.
The Shopify MCP Server bridges FlowHunt and AI assistants with Shopify stores, enabling seamless integration for e-commerce automation, customer management, and product data access through standardized tools and APIs.
The Star Wars MCP Server bridges AI assistants with the SWAPI Star Wars API, enabling real-time access to Star Wars universe data for enhanced development workflows, trivia generation, and educational experiences.
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 Todos MCP Server is an open-source todo list application with Model Context Protocol (MCP) support, allowing AI assistants and chatbots to manage tasks programmatically via a standardized API. It features privacy-friendly local storage and practical tools for seamless task automation in AI-powered workflows.
The Travel Planner MCP Server connects AI assistants to real-time travel data using the Google Maps API, enabling intelligent itinerary generation, place discovery, and route planning for conversational agents and workflows.
The UnifAI MCP Server connects AI assistants with external data sources, APIs, and services, enabling advanced automation and workflow orchestration within the FlowHunt ecosystem. While the concept is promising, current public documentation and resources are very limited.
The Webflow MCP Server connects AI assistants and automation tools to Webflow's APIs, enabling seamless site discovery, automated management, and contextual data access. Empower your AI workflows with direct, programmatic interaction with your Webflow sites using FlowHunt.
The WhatsApp MCP Server bridges AI assistants and your WhatsApp account, enabling programmatic access to messages, contacts, and media for automation, analytics, and AI-driven workflows—all managed locally and securely.
The World Bank MCP Server enables seamless access to and analysis of global economic and social indicators via the World Bank open data API. Designed for AI assistants and developers, it simplifies integration, automates data retrieval, and supports robust research and reporting workflows.
The wxflows MCP Server bridges AI assistants with external data sources and APIs, enabling secure, modular, and AI-driven workflow automation in FlowHunt. Easily connect your agents to databases, files, and APIs with unified configuration.
The YouTube MCP Server enables FlowHunt AI agents to interact programmatically with YouTube, automating video analytics, transcript retrieval, content management, and more—all through a standardized MCP interface.
The YouTube Video Summarizer MCP Server lets AI assistants and developers extract and summarize YouTube video content—including titles, descriptions, and transcripts—directly inside their workflows, powering rapid video content understanding and research.
The Zoom MCP Server enables seamless AI-driven management of Zoom meetings within FlowHunt and other AI platforms. It allows automated scheduling, updating, retrieval, and deletion of Zoom meetings via standardized Model Context Protocol (MCP) interfaces, streamlining collaboration workflows for developers and teams.
The AgentQL MCP Server integrates advanced web data extraction into AI workflows, enabling seamless structured data retrieval from web pages via customizable prompts. Ideal for developers and AI assistants needing real-time, on-demand access to web-based datasets for research, automation, or coding.
The Agentset MCP Server is an open-source platform enabling Retrieval-Augmented Generation (RAG) with agentic capabilities, allowing AI assistants to connect with external data sources, APIs, and services for developing intelligent, document-based applications.
The Airbnb MCP Server connects AI agents and applications to real-time Airbnb listings, enabling property search, detailed accommodation info retrieval, and travel planning directly within FlowHunt or other AI workflows—no API key required.
The Alpaca MCP Server enables AI assistants and large language models to interact with Alpaca’s trading platform via natural language, allowing for stock and options trading, portfolio management, and market data retrieval from LLM-powered tools and IDEs.
The AnalyticDB PostgreSQL MCP Server bridges AI assistants with AnalyticDB PostgreSQL databases, enabling seamless execution of SQL operations, schema exploration, and performance analysis via the Model Context Protocol. It empowers AI workflows with secure, automated, and comprehensive access to database functionalities.
The any-chat-completions-mcp MCP Server connects FlowHunt and other tools to any OpenAI SDK-compatible Chat Completion API. It enables seamless integration of multiple LLM providers—including OpenAI, Perplexity, Groq, xAI, and PyroPrompts—by relaying chat-based queries through a unified, simple interface.
The Auth0 MCP Server bridges AI assistants with Auth0's authentication and identity services. Integrate real-time user authentication, authorization, and identity management capabilities securely into your FlowHunt workflows or AI development pipelines.
The Bitable MCP Server connects FlowHunt and other AI platforms with Lark Bitable, enabling seamless database automation, schema exploration, and SQL-like querying through the Model Context Protocol. Enhance your AI workflows with direct, structured access to collaborative spreadsheets and databases.
The CFBD MCP Server connects AI assistants and applications to the College Football Data API, enabling advanced programmatic access to college football statistics, analytics, and real-time or historical data for AI-driven insights and automation.
Chat MCP is a cross-platform desktop chat application that leverages the Model Context Protocol (MCP) to interface with various Large Language Models (LLMs). It serves as a unified, minimalistic interface for developers and researchers to test, interact with, and configure multiple LLM backends, making it ideal for prototyping and learning MCP.
Integrate ClickUp project management with AI assistants using the ClickUp MCP Server. This bridge enables AI agents to access and automate tasks, projects, and lists inside ClickUp through standardized MCP endpoints, streamlining workflow automation and project tracking in FlowHunt.
The Cloudinary MCP Server connects AI assistants with Cloudinary for automated uploading, tagging, and managing images and videos. It streamlines media management and enables seamless integration of Cloudinary's cloud-based media tools into automated workflows.
The Cognee MCP (Model Context Protocol) Server connects AI assistants with external data sources, APIs, and services—enabling streamlined workflows, automation, and expanded AI capabilities for developers.
Createve.AI Nexus is an open-source MCP server by RootUK, enabling AI assistants to securely access enterprise data, trigger workflows, and interact with business applications. With support for platforms like Copilot Studio and Claude, it empowers real-time monitoring, automation, and analytics for modern organizations.
The Data Exploration MCP Server connects AI assistants with external datasets for interactive analysis. It empowers users to explore CSV and Kaggle datasets, generate analytical reports, and create visualizations, streamlining data-driven decision-making.
The Databricks MCP Server enables seamless integration between AI assistants and the Databricks platform, allowing natural language access to Databricks resources, automated SQL queries, and job management through FlowHunt.
The Datadog MCP Server bridges FlowHunt and Datadog’s API, enabling AI-driven access to monitoring data, dashboards, metrics, events, and logs for advanced observability and automated incident management.
The DevRev MCP Server brings DevRev’s powerful project management and enhancement tools directly into FlowHunt and AI assistant workflows. It enables programmatic access to work items, advanced search, part management, and user context retrieval for seamless automation and intelligent integration.
The dicom-mcp MCP Server enables seamless, secure, and programmatic access to DICOM servers, including PACS and VNA systems. It empowers AI assistants and developers to query patient records, extract clinical reports, and automate imaging workflows, making medical imaging data accessible and actionable within FlowHunt flows.
The Email MCP Server integrates AI assistants with external email systems, enabling automated email sending, file attachments, and SMTP validation through a straightforward MCP interface. It streamlines workflows, automates communication, and empowers AI-driven messaging for development and automation scenarios.
The Fantasy Premier League MCP Server connects AI assistants to official FPL data, providing real-time access to player stats, team data, and more—enabling automated FPL management, player analysis, lineup optimization, and AI-driven football insights.
The Figma-Context MCP Server connects AI coding agents with Figma design layouts by exposing Figma data via the Model Context Protocol (MCP). It enables AI assistants to fetch, analyze, and reason about Figma files for seamless design-to-code workflows, UI implementation, component extraction, and automated documentation.
The Firecrawl MCP Server supercharges FlowHunt and AI assistants with advanced web scraping, deep research, and content discovery capabilities. Seamless integration enables real-time data extraction and automated research workflows directly within your development environment.
The FRED MCP Server connects FlowHunt and AI assistants to the Federal Reserve Economic Data API, unlocking seamless access to over 800,000 economic time-series and financial indicators for data-driven workflows and automated analysis.
The GibsonAI MCP Server connects AI assistants to your GibsonAI projects and databases, enabling natural language management of schemas, queries, deployments, and more—directly from popular development tools.
The Gitee MCP Server enables seamless integration of AI assistants with Gitee's APIs via the Model Context Protocol, automating repository management, issue tracking, pull requests, and notifications for both personal and enterprise use.
The GitHub MCP Server enables seamless AI-powered automation and data extraction from the GitHub ecosystem by bridging AI agents and GitHub APIs. Enhance your development workflows and build advanced tools with direct repository access.
The Google Sheets MCP Server enables secure, programmatic access to Google Sheets for AI agents and developers. It offers robust automation, typed tools, and flexible authentication for streamlined spreadsheet operations, collaborative workflows, and data manipulation.
The Gyazo MCP Server bridges AI assistants and Gyazo image hosting, enabling automated searching, fetching, uploading, and managing of images and metadata through standardized MCP tools and resources. Ideal for AI-driven, image-centric workflows in FlowHunt and compatible environments.
The Hyperbrowser MCP (Model Context Protocol) Server bridges AI assistants with external data sources, APIs, and services. It streamlines development workflows by enabling seamless access to databases, files, and APIs, empowering AI agents to interact with real-world data and automate tasks within FlowHunt and other platforms.
The iMCP MCP Server bridges AI assistants with your Mac's native apps, providing secure access to Messages, Contacts, Calendar, Reminders, Weather, Maps, and more. Enhance your productivity with seamless AI-driven automation and privacy-focused integration.
The Inkeep MCP Server connects AI assistants and developer tools to up-to-date product documentation managed in Inkeep, enabling direct, secure, and efficient retrieval of relevant content for RAG workflows, chatbots, and onboarding solutions.
The Intercom MCP Server bridges AI assistants and Intercom, enabling advanced customer support automation, analytics, and seamless access to Intercom conversations and tickets via MCP-compliant workflows.
The JSON MCP Server for FlowHunt enables AI agents and developers to query, filter, and manipulate JSON data sources using standardized tools and operations. It simplifies data analytics, transformation, and automation workflows, providing powerful JSONPath-based querying and advanced filtering features.
The Kokoro Text to Speech (TTS) MCP Server enables AI agents and workflows to generate high-quality speech audio from text, with options for cloud storage and customizable voice, speed, and language settings. Integrate seamless TTS capabilities into your automations, chatbots, or accessibility solutions.
Langflow-DOC-QA-SERVER is an MCP server for document question-and-answer tasks, enabling AI assistants to query documents via a Langflow backend. Integrate document search, Q&A, and knowledge management into your development workflows.
The Mac Messages MCP Server securely bridges AI assistants and LLMs with your iMessage database on macOS, enabling querying, automation, and enhanced productivity through message analysis, contact management, and workflow integration.
The MCP Code Executor MCP Server enables FlowHunt and other LLM-driven tools to securely execute Python code in isolated environments, manage dependencies, and dynamically configure code execution contexts. It is ideal for automated code evaluation, reproducible data science workflows, and dynamic environment setup inside FlowHunt flows.
MCP Create is a dynamic server management service that allows on-demand creation, execution, and orchestration of multiple MCP servers. Designed for scalable, modular AI workflows, it enables developers to launch, update, and manage MCP servers programmatically, supporting robust tool execution and lifecycle management.
The MCP Proxy Server aggregates multiple MCP resource servers into a single HTTP server, streamlining connections for AI assistants and developers. It enables unified access to diverse tools, APIs, and data sources, with real-time streaming and centralized authentication.
The mcp-hfspace MCP Server connects AI assistants with HuggingFace Spaces, enabling seamless integration, automation, and management of external AI models, demos, and APIs within your development workflow.
The mcp-installer MCP Server streamlines and automates the installation of other Model Context Protocol servers, enabling AI assistants and developers to rapidly expand their toolset by deploying new MCP servers from npm or PyPi with minimal manual setup.
The mcp-server-commands MCP Server bridges AI assistants with secure system command execution, allowing LLMs to interact with the shell, automate development tasks, and manage files directly from FlowHunt and other AI platforms.
The mcp-vision MCP Server connects HuggingFace computer vision models—like zero-shot object detection—to FlowHunt and other AI platforms, empowering LLMs and AI assistants with advanced visual capabilities such as object detection and image analysis.
The Membase MCP Server provides lightweight, decentralized, and persistent memory for AI agents by connecting them to the Unibase-powered Membase protocol. It enables agents to securely store and retrieve conversation history, manage multiple sessions, and ensure tamper-proof, auditable records.
The Microsoft 365 MCP Server bridges AI assistants with Microsoft 365 services via the Graph API, enabling seamless automation of emails, calendars, files, tasks, and contacts for enterprise productivity workflows.
The Microsoft Fabric MCP Server enables seamless AI-driven interaction with Microsoft Fabric's data engineering and analytics ecosystem. It supports workspace management, PySpark notebook development, delta table schema retrieval, SQL execution, and advanced LLM-powered code generation and optimization.
The Mifos X MCP Server bridges FlowHunt AI agents and Apache Fineract®, enabling seamless financial data automation, client onboarding, loan management, and workflow AI integration through a standardized protocol.
The Model Context Protocol (MCP) Server bridges AI assistants with external data sources, APIs, and services, enabling streamlined integration of complex workflows and secure management of development tasks in FlowHunt.
The ModelContextProtocol (MCP) Server acts as a bridge between AI agents and external data sources, APIs, and services, enabling FlowHunt users to build context-aware, workflow-automating AI assistants. This guide covers setup, configuration, and best practices for secure integration.
The Monzo MCP Server connects AI assistants to your Monzo Bank account, enabling secure, programmable access to personal banking data for automation, reporting, and financial insights within FlowHunt and other MCP-compatible tools.
The Multicluster MCP Server empowers GenAI systems and developer tools to manage, monitor, and orchestrate resources across multiple Kubernetes clusters via the Model Context Protocol (MCP), enabling intelligent automation and streamlined DevOps workflows.
The Netdata MCP Server connects AI assistants and automation tools with the Netdata monitoring platform, allowing real-time access to system metrics and streamlined observability workflows via a protocol-driven interface.
The Obsidian MCP Server enables seamless AI interaction with Obsidian vaults, allowing automated management of notes, tags, and directories for advanced knowledge workflows in FlowHunt.
The OceanBase MCP Server bridges secure AI interactions with OceanBase databases, enabling tasks like listing tables, reading data, and executing SQL queries in a controlled environment. It enhances safe database access, analysis, and reporting for AI workflows with robust logging and granular access control.
The Opik MCP Server connects the Opik platform with IDEs and development tools, enabling AI assistants to access project management, prompt templates, traces, and metrics directly from your workflow environment.
The Patronus MCP Server streamlines LLM evaluation and experimentation for developers and researchers, providing automation, batch processing, and robust setup for AI system benchmarking within FlowHunt.
The Plane MCP Server enables FlowHunt and other LLM-powered platforms to automate and streamline project and issue management in Plane.so. It bridges AI assistants with the Plane.so API, allowing automated project tracking, issue creation, and workflow automation—all while maintaining robust security and user control.
The puremd MCP Server bridges AI assistants and agents with web content by unblocking and scraping sites, rendering dynamic pages, and converting resources into markdown via the pure.md platform. It powers advanced web search and seamless LLM context enrichment within FlowHunt and other AI development tools.
The Quickchart MCP Server integrates the QuickChart.io service with FlowHunt, enabling AI assistants and clients to generate dynamic charts programmatically. Ideal for data analysis, automated reporting, and visual documentation, it empowers seamless chart creation and visualization within your AI workflows.
The Recraft MCP Server connects AI assistants and clients to the Recraft AI platform, offering advanced raster and vector image generation, style creation, vectorization, background removal, and upscaling through a unified MCP interface.
Reexpress MCP Server brings statistical verification to LLM workflows. Using the Similarity-Distance-Magnitude (SDM) estimator, it delivers robust confidence estimates for AI outputs, adaptive verification, and secure file access—making it a powerful tool for developers and data scientists needing reliable, auditable LLM responses.
The Rememberizer MCP Server bridges AI assistants and knowledge management, enabling semantic search, unified document retrieval, and team collaboration across Slack, Gmail, Dropbox, Google Drive, and more. Streamline your AI workflows with powerful document and integration tools.
The Room MCP Server enables AI assistants to collaborate in virtual rooms via the Room protocol, supporting multi-agent workflows, invitation management, transcript archiving, and real-time teamwork for enhanced development and shared goals.
The Root Signals MCP Server bridges AI assistants with the Root Signals Evaluation Platform, enabling advanced automation, telemetry, and workflow orchestration for LLMs. Integrate this MCP to automate model evaluations, monitor workflows, and collect real-time metrics, enhancing productivity and reproducibility in AI development.