1Panel MCP Server Integration
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.
Browse all content in the MCP Servers category
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 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.
AbletonMCP bridges Ableton Live with AI assistants like Claude, enabling two-way communication for automating music production, manipulating tracks, generating MIDI clips, and controlling live sessions—all via natural language.
The Actor-Critic Thinking MCP Server enables dual-perspective performance evaluations by alternating between the roles of 'actor' (creator) and 'critic' (evaluator), providing balanced, actionable feedback for creative, technical, and developmental workflows.
The Adfin MCP Server connects AI assistants with Adfin’s financial and document management APIs, enabling automation of credit control, invoicing, and file management tasks within FlowHunt and other AI-powered workflows.
The agent-kit-mcp-server bridges AI assistants and the Solana blockchain, enabling AI-powered workflows for developers by providing structured access to on-chain data, resource management, and API integrations within the Solana ecosystem.
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 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 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 Airtable MCP Server connects FlowHunt and other AI assistants to Airtable’s API, enabling seamless automation of database workflows, intelligent schema management, and programmatic data interaction through a suite of agentic tools.
The Aiven MCP Server connects FlowHunt AI agents with Aiven's managed cloud services, enabling automated project discovery, service inventory, and real-time cloud infrastructure management through secure, programmable interactions.
The Algolia MCP Server enables FlowHunt users to connect AI assistants to Algolia’s search and analytics APIs via the Model Context Protocol, streamlining search, analytics, and monitoring workflows through natural language.
The 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 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 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.
The AlibabaCloud OpenSearch MCP Server connects AI agents and assistants to Alibaba Cloud's OpenSearch, enabling advanced search, vector queries, and seamless data integration for enterprise AI applications through a standardized interface.
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 Amadeus MCP Server integrates the Amadeus Flight Offers Search API into AI assistants and MCP-compatible clients, enabling natural language flight searches and real-time access to detailed flight offers. Enhance your apps and workflows with seamless, conversational flight data retrieval.
The Amazon Ads MCP Server bridges AI assistants and Amazon Advertising by providing seamless programmatic access to campaign management, reporting, recommendations, and experiments via MarketplaceAdPros. Streamline workflows and unlock AI-driven automation for Sponsored Products, Brands, and Display.
AnalyticDB for MySQL MCP Server provides a universal interface for connecting AI agents to Alibaba Cloud's AnalyticDB for MySQL, enabling seamless database access, automated SQL execution, and metadata retrieval through the Model Context Protocol (MCP).
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 AnalyticDB PostgreSQL MCP Server bridges AI assistants and AnalyticDB PostgreSQL databases, enabling seamless schema exploration, SQL query execution, metadata retrieval, and performance tuning for robust, enterprise-grade analytics workflows.
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.
The AntV MCP Server enables AI-driven chart generation with over 25 visual chart types using the AntV charting library. Seamlessly connect FlowHunt AI agents to dynamic data visualization tools for analytics, dashboards, and business intelligence workflows.
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.
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 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 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.
The APIMatic Validator MCP Server enables automated validation of OpenAPI 2.0 and 3.0 specification files (JSON/YAML) using the APIMatic API. It streamlines API quality assurance by integrating seamlessly into developer environments, CI/CD workflows, and AI assistants.
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 Apple Books MCP Server connects AI assistants with the Apple Books ecosystem, exposing books, collections, annotations, and highlights as structured resources for developers. It enables advanced book organization, annotation management, and personalized recommendations within AI-powered reading and productivity tools.
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 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.
The ArangoDB MCP Server enables seamless interaction between AI agents and the ArangoDB database, supporting core database operations like querying, insertion, updates, collection management, and backup directly through standardized MCP tools.
The ARES MCP Server provides seamless access to the Czech ARES business registry, enabling AI agents to search, validate, and retrieve Czech company data programmatically within FlowHunt workflows.
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 arxiv-latex MCP Server enables AI tools to directly access and process arXiv papers via their LaTeX source files, allowing for precise mathematical interpretation and advanced scientific paper analysis in FlowHunt and other MCP-compatible clients.
The Astra DB MCP Server bridges Large Language Models (LLMs) and Astra DB, enabling secure, automated data querying and management. It empowers AI-driven workflows to interact directly with Astra DB, unlocking productivity and seamless database automation.
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.
Integrate Jira and Confluence with AI assistants using the Atlassian MCP Server. Enable smart project management, automate workflows, and allow AI to interact with project tasks, documentation, and reports for increased team productivity.
The Atris MCP Server connects the Audius music platform with AI assistants and development tools, enabling advanced music data access, automated content management, and premium track purchasing through AI-powered workflows.
The Attestable MCP Server brings remote attestation and confidential computing to FlowHunt workflows, letting AI agents and clients verify server integrity before connecting. It uses hardware-backed cryptographic proofs to ensure secure, untampered AI pipelines.
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 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 Authenticator App MCP Server enables AI agents to securely access 2FA codes and passwords, streamlining automated login processes and credential management across platforms, while maintaining robust security practices.
The aws-athena MCP Server connects AI workflows to AWS Athena, enabling AI agents to execute SQL queries directly on data stored in Amazon S3. It streamlines data access, analytics, and code generation for enterprise and automation use cases.
Integrate secure authentication and user management into your AI workflows with the AWS Cognito MCP Server. Enable sign-up, sign-in, password management, and multi-factor authentication for bots and assistants using FlowHunt and MCP-compatible clients.
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 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.
The Axiom MCP Server connects AI assistants to the Axiom data platform, enabling real-time APL queries, dataset discovery, and analytics automation. Bring powerful data access and analytics directly into your AI-driven workflows with this robust 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.
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 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 Azure OpenAI DALL-E 3 MCP Server brings powerful, programmatic image generation to AI assistants and development workflows via Model Context Protocol (MCP). Seamlessly generate, download, and integrate DALL-E 3 visual content using secure, scalable APIs and 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.
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