Portainer MCP alternatives

1

QuantConnect MCP Server

Official bridge for secure AI access to QuantConnect's algorithmic trading cloud platform

QuantConnect MCP Server enables artificial intelligence systems such as Claude and OpenAI to interface with QuantConnect's cloud platform through an official, secure, and dockerized implementation of the Model Context Protocol (MCP). It facilitates automated project management, strategy writing, backtesting, and live deployment by exposing a comprehensive suite of API tools for users with valid access credentials. As the maintained official version, it ensures security, easy deployment, and cross-platform compatibility for advanced algorithmic trading automation.

50 19 MCP

2

mcp-server-docker

Natural language management of Docker containers via Model Context Protocol.

mcp-server-docker enables users to manage Docker containers using natural language instructions through the Model Context Protocol. It allows composing, introspecting, and debugging containers, as well as managing persistent Docker volumes. The tool is suitable for server administrators, tinkerers, and AI enthusiasts looking to leverage LLM capabilities for Docker management. Integration with tools like Claude Desktop and Docker ensures flexible deployment and easy connectivity to Docker engines.

648 86 MCP

3

Docker Hub MCP Server

Expose Docker Hub APIs to LLMs via the Model Context Protocol.

The Docker Hub MCP Server implements the Model Context Protocol (MCP) to make Docker Hub APIs accessible to large language models, enabling AI-powered discovery and management of container images and repositories. It provides an interface for LLMs to access real-time Docker Hub data, recommend images, and streamline developer workflows. The server supports both public and private repositories through configurable authentication, and can be integrated with AI assistants like Gordon and clients such as Claude Desktop.

83 61 MCP

4

Insforge MCP Server

A Model Context Protocol server for seamless integration with Insforge and compatible AI clients.

Insforge MCP Server implements the Model Context Protocol (MCP), enabling smooth integration with various AI tools and clients. It allows users to configure and manage connections to the Insforge platform, providing automated and manual installation methods. The server supports multiple AI clients such as Claude Code, Cursor, Windsurf, Cline, Roo Code, and Trae via standardized context management. Documentation and configuration guidelines are available for further customization and usage.

3 2 MCP

5

CipherTrust Manager MCP Server

Enables AI assistants to access CipherTrust Manager securely via the Model Context Protocol.

CipherTrust Manager MCP Server provides an implementation of the Model Context Protocol (MCP), offering AI assistants such as Claude and Cursor a unified interface to interact with CipherTrust Manager resources. Communication is facilitated through JSON-RPC over stdin/stdout, enabling key management, CTE client management, user management, and connection management functionalities. The tool is configurable via environment variables and integrates with existing CipherTrust Manager instances using the ksctl CLI for secure resource access.

7 4 MCP

6

Intruder MCP

Enable AI agents to control Intruder.io via the Model Context Protocol.

Intruder MCP allows AI model clients such as Claude and Cursor to interactively control the Intruder vulnerability scanner through the Model Context Protocol. It can be deployed using smithery, locally with Python, or in a Docker container, requiring only an Intruder API key for secure access. The tool provides integration instructions tailored for MCP-compatible clients, streamlining vulnerability management automation for AI-driven workflows.

21 4 MCP

7

OpsLevel MCP Server

Read-only MCP server for integrating OpsLevel data with AI tools.

OpsLevel MCP Server implements the Model Context Protocol to provide AI tools with a secure way to access and interact with OpsLevel account data. It supports read-only operations for a wide range of OpsLevel resources such as actions, campaigns, checks, components, documentation, domains, and more. The tool is compatible with popular environments including Claude Desktop and VS Code, enabling easy integration via configuration and API tokens. Installation options include Homebrew, Docker, and standalone binaries.

8 7 MCP

8

Prometheus MCP Server

Access and analyze Prometheus metrics through standardized MCP interfaces.

Prometheus MCP Server enables seamless access to Prometheus metrics by providing a standardized Model Context Protocol (MCP) interface. It allows AI assistants and compatible clients to execute PromQL queries, discover and explore metric data, and retrieve instant or range-based results. The server supports authentication via basic and bearer token mechanisms and can be easily deployed via Docker or integrated into multiple development environments.

282 64 MCP

9

Aiven MCP Server

Model Context Protocol server enabling LLMs to access and manage Aiven cloud data services.

Aiven MCP Server implements the Model Context Protocol (MCP) to provide secure access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch services. It enables Large Language Models (LLMs) to seamlessly integrate and interact with these cloud data platforms, supporting full stack solution development. The server offers streamlined tools for project and service management via standardized APIs and supports integration with platforms like Claude Desktop and Cursor. Environment variable configuration and explicit permission controls are used to ensure secure and flexible operations.

11 11 MCP

10

Make MCP Server (legacy)

Enable AI assistants to utilize Make automation workflows as callable tools.

Make MCP Server (legacy) provides a Model Context Protocol (MCP) server that connects AI assistants with Make scenarios configured for on-demand execution. It parses and exposes scenario parameters, allowing AI systems to invoke automation workflows and receive structured JSON outputs. The server supports secure integration through API keys and facilitates seamless communication between AI and Make's automation platform.

142 39 MCP

11

Pica MCP Server

A Model Context Protocol (MCP) server for seamless integration with 100+ platforms via Pica.

Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.

8 5 MCP

12

Authenticator App MCP Server

Secure MCP server for AI-assisted access to 2FA codes and passwords.

Authenticator App MCP Server provides a secure Model Context Protocol (MCP) server enabling AI agents to interact with authentication credentials, such as 2FA codes and passwords. It facilitates automated login processes for AI assistants while maintaining robust security by requiring access tokens and integrating with the Authenticator App desktop client. This solution streamlines the management of user credentials across multiple platforms and websites, ensuring seamless and secure credential retrieval by AI agents.

27 10 MCP

13

Kanboard MCP Server

MCP server for seamless AI integration with Kanboard project management.

Kanboard MCP Server is a Go-based server implementing the Model Context Protocol (MCP) for integrating AI assistants with the Kanboard project management system. It enables users to manage projects, tasks, users, and workflows in Kanboard directly via natural language commands through compatible AI tools. With built-in support for secure authentication and high performance, it facilitates streamlined project operations between Kanboard and AI-powered clients like Cursor or Claude Desktop. The server is configurable and designed for compatibility with MCP standards.

15 4 MCP

14

Azure MCP Server

Connect AI agents with Azure services through Model Context Protocol.

Azure MCP Server provides a seamless interface between AI agents and Azure services by implementing the Model Context Protocol (MCP) specification. It enables integration with tools like GitHub Copilot for Azure and supports a wide range of Azure resource management tasks directly via conversational AI interfaces. Designed for extensibility and compatibility, it offers enhanced contextual capabilities for agents working with Azure environments.

1,178 351 MCP

15

ServeMyAPI

Securely manage and serve API keys via macOS Keychain with an MCP interface

ServeMyAPI is a personal Model Context Protocol (MCP) server designed for macOS, enabling secure storage and access of API keys via the macOS Keychain. It provides both CLI and server interfaces for managing keys and supports stdio and HTTP/SSE transports for seamless integration with various clients. The tool allows natural language interaction and centralized, cross-project key management, aiming to improve developer workflows and AI assistant collaborations. ServeMyAPI eliminates common issues with environment files by offering secure, visible, and AI-accessible key storage.

23 5 MCP

16

K8M

AI-driven lightweight Kubernetes dashboard with integrated MCP and multi-cluster management.

K8M is an AI-enabled mini Kubernetes dashboard built with a focus on simplifying cluster management and enhancing user experience. Utilizing the Model Context Protocol (MCP), K8M offers visual management for MCP, allowing AI models to interact with Kubernetes resources and tools easily, supporting over 49 built-in MCP tools. It enables powerful multi-cluster management, integrates advanced AI capabilities such as chat-driven resource explanation and diagnostics, and supports custom large model integration including private deployments and models like Ollama.

702 119 MCP

17

Teamwork MCP Server

Seamless Teamwork.com integration for Large Language Models via the Model Context Protocol

Teamwork MCP Server is an implementation of the Model Context Protocol (MCP) that enables Large Language Models to interact securely and programmatically with Teamwork.com. It offers standardized interfaces, including HTTP and STDIO, allowing AI agents to perform various project management operations. The server supports multiple authentication methods, an extensible toolset architecture, and is designed for production deployments. It provides read-only capability for safe integrations and robust observability features.

11 9 MCP

18

Supabase MCP Server

Connect Supabase projects to AI assistants using the Model Context Protocol.

Supabase MCP Server enables direct, secure integration between Supabase projects and AI assistants such as Cursor, Claude, and Windsurf. Leveraging the Model Context Protocol, it provides standardized endpoints for external LLMs to perform tasks like managing tables, fetching configurations, and querying data on Supabase. The server supports OAuth 2.1 Dynamic Client Registration and offers easy setup with feature groups and popular client installers for local, cloud, and self-hosted environments.

2,263 253 MCP

19

Multi-Database MCP Server (by Legion AI)

Unified multi-database access and AI interaction server with MCP integration.

Multi-Database MCP Server enables seamless access and querying of diverse databases via a unified API, with native support for the Model Context Protocol (MCP). It supports popular databases such as PostgreSQL, MySQL, SQL Server, and more, and is built for integration with AI assistants and agents. Leveraging the MCP Python SDK, it exposes databases as resources, tools, and prompts for intelligent, context-aware interactions, while delivering zero-configuration schema discovery and secure credential management.

76 19 MCP

20

Azure DevOps MCP Server

Standardized AI access to Azure DevOps via Model Context Protocol.

Implements the Model Context Protocol (MCP) to enable AI assistants to securely and efficiently interact with Azure DevOps resources. Provides a standardized bridge for managing projects, work items, repositories, pull requests, and pipelines through natural language interfaces. Supports modular authentication and a feature-based architecture for scalability and integration. Facilitates seamless integration with AI tools such as Claude Desktop and Cursor AI.

306 93 MCP

21

MCP Link

Convert Any OpenAPI V3 API to an MCP Server for seamless AI Agent integration.

MCP Link enables automatic conversion of any OpenAPI v3-compliant RESTful API into a Model Context Protocol (MCP) server, allowing instant compatibility with AI-driven agent frameworks. It eliminates the need for manual interface creation and code modification by translating OpenAPI schemas into MCP endpoints. MCP Link supports robust feature mapping and authentication, making it easy to expose existing APIs to AI ecosystems using a standardized protocol. The tool is designed for both developers and organizations seeking to streamline API integration with AI agents.

572 68 MCP

22

MetaTrader MCP Server

Let AI assistants trade for you using natural language.

MetaTrader MCP Server is a bridge that connects AI assistants such as Claude and ChatGPT to the MetaTrader 5 trading platform via the Model Context Protocol (MCP). It enables users to perform trading actions on MetaTrader 5 through natural language instructions. The system supports real-time data access, full account management, and secure local credential handling, offering both MCP and REST API interfaces.

120 34 MCP

23

CircleCI MCP Server

Enable LLM-driven automation for CircleCI with the Model Context Protocol.

CircleCI MCP Server is an implementation of the Model Context Protocol (MCP) designed to bridge CircleCI with large language models and AI assistants. It supports integration with tools like Cursor IDE, Windsurf, Copilot, and VS Code, allowing users to interact with CircleCI using natural language. The server can be deployed locally via NPX or Docker and remotely, making CircleCI workflows accessible and manageable through standardized protocol operations.

69 38 MCP

24

docker-mcp

A powerful MCP server for seamless Docker container and compose stack management.

docker-mcp is a Model Context Protocol (MCP) server that enables robust Docker container and compose stack management via Claude AI. It offers easy installation through Smithery or manual setup, supporting container creation, Docker Compose stack deployment, log retrieval, and monitoring. Integration with the Claude Desktop app is straightforward, and the included MCP Inspector aids debugging. This tool simplifies Docker operations for automation and AI model interactions.

419 57 MCP

25

OpenAPI-MCP

Dockerized MCP server that transforms OpenAPI/Swagger specs into MCP-compatible tools.

OpenAPI-MCP is a dockerized server that reads Swagger/OpenAPI specification files and generates corresponding Model Context Protocol (MCP) toolsets. It enables MCP-compatible clients to interact dynamically with APIs described by OpenAPI specs, automatically generating the necessary tool schemas and facilitating secure API key handling. The solution supports both local and remote API specs, offers filtering by tags and operations, and can be easily deployed using Docker.

150 31 MCP

26

mcp-k8s-eye

Kubernetes management and diagnostics tool with MCP protocol support.

mcp-k8s-eye enables users to manage and analyze Kubernetes clusters using standardized Model Context Protocol (MCP) interfaces. It offers comprehensive resource operations, diagnostics, and resource usage monitoring through both stdio and SSE transports. Supporting generic and custom resource management along with advanced diagnostic tooling, it is geared for integration with AI clients and other MCP consumers.

26 9 MCP

27

Dappier MCP Server

Real-time web search and premium data access for AI agents via Model Context Protocol.

Dappier MCP Server enables fast, real-time web search and access to premium data sources, including news, financial markets, sports, and weather, for AI agents using the Model Context Protocol (MCP). It integrates seamlessly with tools like Claude Desktop and Cursor, allowing users to enhance their AI workflows with up-to-date, trusted information. Simple installation and configuration are provided for multiple platforms, leveraging API keys for secure access. The solution supports deployment via Smithery and direct installation with 'uv', facilitating rapid setup for developers.

35 11 MCP

28

dbt MCP Server

Bridge dbt projects and AI agents with rich project context.

dbt MCP Server provides an implementation of the Model Context Protocol for dbt projects, enabling seamless integration between dbt and AI agents. It allows agents to access and understand the context of dbt Core, dbt Fusion, and dbt Platform projects. The tool supports connection to external AI products and offers resources for building custom agents. Documentation and examples are provided to facilitate adoption and integration.

420 90 MCP

29

Binary Ninja MCP

Seamlessly integrate Binary Ninja with Model Context Protocol clients for enhanced reverse engineering.

Binary Ninja MCP enables real-time integration of Binary Ninja's reverse engineering environment with various Model Context Protocol (MCP) clients. It acts as a server exposing Binary Ninja's capabilities via HTTP endpoints and includes a bridge to connect to MCP clients. The extension supports auto-setup with popular clients such as Cline, Claude Desktop, Roo Code, and others, streamlining the use of AI-assisted workflows. This enhances tasks such as analyzing binaries, switching targets, and leveraging LLM-driven automation in reverse engineering.

112 35 MCP

30

Model Context Protocol Server for Home Assistant

Seamlessly connect Home Assistant to LLMs for natural language smart home control via MCP.

Enables integration between a local Home Assistant instance and language models using the Model Context Protocol (MCP). Facilitates natural language monitoring and control of smart home devices, with robust API support for state management, automation, real-time updates, and system administration. Features secure, token-based access, and supports mobile and HTTP clients. Designed to bridge Home Assistant environments with modern AI-driven automation.

468 41 MCP

31

APISIX Model Context Protocol Server

Bridge LLMs with APISIX for natural language API management.

APISIX Model Context Protocol (MCP) Server enables large language models to interact with and manage APISIX resources via natural language commands. It provides a standardized protocol for connecting AI clients like Claude, Cursor, and Copilot to the APISIX Admin API. The server supports a range of operations including CRUD for routes, services, upstreams, plugins, security configurations, and more. Installation is streamlined via Smithery, npm, or direct source setup with customizable environment variables.

29 9 MCP

32

Box MCP Server (Remote)

Securely connect AI agents to Box content and Box AI using the Model Context Protocol.

Box MCP Server (Remote) enables AI agent platforms to securely interact with Box data and AI-powered tools via the Model Context Protocol. It supports OAuth-based authentication and provides various capabilities, including user identification, file and folder operations, and access to Box AI tools. The service exposes an endpoint for easy integration by MCP-compatible clients while ensuring data never leaves the Box environment. It offers both admin console and developer console setup options and comprehensive documentation for connection.

0 3 MCP

33

mcp-shell

A secure Model Context Protocol (MCP) server for AI-driven shell command execution.

mcp-shell enables AI assistants and MCP clients to securely execute shell commands via the standardized Model Context Protocol. Built in Go and leveraging the official MCP SDK, it facilitates structured, auditable, and context-aware access to shell environments. The server emphasizes security through Docker isolation, command validation, resource limits, and comprehensive audit logging.

44 8 MCP

34

mcp-confluent

MCP server for managing Confluent Cloud resources via natural language.

mcp-confluent is a Model Context Protocol (MCP) server implementation designed to enable natural language interaction with Confluent Cloud REST APIs. It integrates with AI tools such as Claude Desktop and Goose CLI, allowing users to manage Kafka topics, connectors, and Flink SQL statements conversationally. The project offers flexible configuration, CLI usage, and supports various transports for secure and customizable operations.

115 36 MCP

35

Postmancer

A standalone MCP server for API testing and management via AI assistants.

Postmancer is a Model Context Protocol (MCP) server designed to facilitate API testing and management through natural language interactions with AI assistants. It enables HTTP requests, organizes API endpoints into collections, and provides tools for managing environment variables, authentication, and request history. Postmancer is particularly aimed at integrating with AI platforms like Claude for seamless, automated API workflows.

28 4 MCP

36

GitHub MCP Server

Connect AI tools directly to GitHub for repository, issue, and workflow management via natural language.

GitHub MCP Server enables AI tools such as agents, assistants, and chatbots to interact natively with the GitHub platform. It allows these tools to access repositories, analyze code, manage issues and pull requests, and automate workflows using the Model Context Protocol (MCP). The server supports integration with multiple hosts, including VS Code and other popular IDEs, and can operate both remotely and locally. Built for developers seeking to enhance AI-powered development workflows through seamless GitHub context access.

24,418 2,997 MCP

37

Azure Data Explorer MCP Server

Enables AI assistants to query and analyze Azure Data Explorer using the Model Context Protocol.

Azure Data Explorer MCP Server provides standardized MCP interfaces for AI assistants to execute KQL queries and interact with Azure Data Explorer (ADX/Kusto) databases. It supports secure authentication methods, database discovery, and delivers structured results in JSON format. Multiple deployment options, including Docker and various transports, enable flexible integration into development or production environments.

49 23 MCP

38

Mattermost MCP Host

Connects Mattermost to MCP servers, enabling AI agent-powered tool orchestration within chat.

Mattermost MCP Host integrates the Model Context Protocol (MCP) with Mattermost, utilizing a LangGraph-based AI agent to facilitate seamless user interaction and dynamic tool execution directly in chat. It supports integration with multiple MCP servers, automatically discovers available tools, and allows users to issue commands or natural language requests. Conversational context is maintained in threads, and users can interact directly with MCP servers to manage resources and capabilities.

27 16 MCP

39

MCP K8S Go

Golang-based MCP server that enables AI-driven interactions with Kubernetes clusters.

MCP K8S Go provides a server implementation of the Model Context Protocol for managing and interacting with Kubernetes clusters. It offers functionality to list, retrieve, create, and modify Kubernetes resources such as contexts, namespaces, pods, and nodes using standardized context-aware approaches. Designed for integration with AI assistants like Claude Desktop, it enables prompting and tool execution to manage cluster state, monitor events, fetch pod logs, and run in-pod commands. The solution supports deployment via various installation methods including Docker, Node.js, and Go binaries.

356 50 MCP

40

Plane MCP Server

Enables LLMs to manage Plane.so projects and issues via the Model Context Protocol.

Plane MCP Server provides a standardized interface to connect large language models with Plane.so project management APIs. It enables LLMs to interact directly with project and issue data, supporting tasks such as listing projects, retrieving detailed information, creating and updating issues, while prioritizing user control and security. Installation is streamlined through tools like Smithery, and configuration supports multiple clients including Claude for Desktop.

32 13 MCP

41

Wanaku MCP Router

A router connecting AI-enabled applications through the Model Context Protocol.

Wanaku MCP Router serves as a middleware router facilitating standardized context exchange between AI-enabled applications and large language models via the Model Context Protocol (MCP). It streamlines context provisioning, allowing seamless integration and communication in multi-model AI environments. The tool aims to unify and optimize the way applications provide relevant context to LLMs, leveraging open protocol standards.

87 32 MCP

42

Flowcore Platform MCP Server

A standardized MCP server for managing and interacting with Flowcore Platform resources.

Flowcore Platform MCP Server provides an implementation of the Model Context Protocol (MCP) for seamless interaction and management of Flowcore resources. It enables AI assistants to query and control the Flowcore Platform using a structured API, allowing for enhanced context handling and data access. The server supports easy deployment with npx, npm, or Bun and requires user authentication using Flowcore credentials.

9 5 MCP

43

buildkite-mcp-server

Server exposing Buildkite data through the Model Context Protocol for AI integration.

buildkite-mcp-server implements a Model Context Protocol (MCP) server that exposes Buildkite data, including pipelines, builds, jobs, and tests, to AI tooling and editors. It facilitates secure and standardized access to CI/CD information for model-based tools. The project is written in Go and is recommended to be run in a containerized, secure environment.

40 21 MCP

44

Sequa MCP

Bridge Sequa's advanced context engine to any MCP-capable AI client.

Sequa MCP acts as a seamless integration layer, connecting Sequa’s knowledge engine with various AI coding assistants and IDEs via the Model Context Protocol (MCP). It enables tools to leverage Sequa’s contextual knowledge streams, enhancing code understanding and task execution across multiple repositories. The solution provides a simple proxy command to interface with standardized MCP transports, supporting configuration in popular environments such as Cursor, Claude, VSCode, and others. Its core purpose is to deliver deep, project-specific context to LLM agents through a unified and streamable endpoint.

16 3 MCP

45

RAD Security MCP Server

AI-powered security insights for Kubernetes and cloud environments via the Model Context Protocol.

RAD Security MCP Server is an implementation of the Model Context Protocol designed to deliver AI-powered security insights and operations for Kubernetes and cloud platforms. It serves as an MCP server for RAD Security, providing a range of toolkits for container, cluster, identity, audit, and threat management. The server is easily configurable via environment variables, allowing for flexible toolkit activation and authentication options. Multiple deployment options are supported, including Node.js, Docker, and integration with development environments like Cursor IDE and Claude Desktop.

5 5 MCP

46

SpaceBridge-MCP

A Model Context Protocol server for seamless AI-assisted issue management via SpaceBridge.

SpaceBridge-MCP offers a Model Context Protocol (MCP) server that enables AI assistants and coding tools to interact directly with the SpaceBridge issue aggregation platform. It supports searching, creating, viewing, and updating issues across multiple trackers such as Jira and GitHub, using natural language requests. It also provides automated duplicate detection with LLM-based comparison to streamline issue creation workflows. The server acts as a bridge between AI-powered development environments and issue management systems, enhancing context sharing and productivity.

5 2 MCP

47

Discord MCP

Seamlessly integrate AI and Discord through the Model Context Protocol.

Discord MCP is a server implementing the Model Context Protocol (MCP) for the Discord API using JDA, enabling AI assistants and applications to interact with Discord servers. It facilitates the management of channels, messages, and server information, supporting automation and integration with MCP-compatible clients such as Claude Desktop. Installation is supported via Docker and manual builds with Maven, providing flexibility for deployment. It enables enhanced automation and context management for Discord bots via the standardized MCP interface.

116 23 MCP

48

MCP Atlassian

AI-powered MCP server integrating Confluence and Jira workflows.

MCP Atlassian serves as a Model Context Protocol (MCP) server interface for Atlassian products such as Confluence and Jira, supporting both cloud and server/data center deployments. It enables AI assistants to access, search, and update Atlassian data contextually via standardized MCP endpoints. The integration streamlines tasks like intelligent issue filtering, documentation creation, and context-driven updates directly through natural language. Multiple authentication modes, including API tokens and OAuth 2.0, are supported for secure connectivity.

3,574 740 MCP

49

TickTick MCP

MCP server for AI-powered TickTick task management integration

TickTick MCP is a Model Context Protocol (MCP) server that enables standardized integration of TickTick's task management features with AI assistants and developer applications. It allows programmatic access to create, update, retrieve, complete, or delete tasks and projects in TickTick via Python. Using this MCP server, AI systems can leverage TickTick's API to help automate and manage user's to-do lists and projects through natural language or other interfaces.

6 6 MCP

50

Edge Delta MCP Server

Seamlessly integrate Edge Delta APIs into the Model Context Protocol ecosystem.

Edge Delta MCP Server is a Model Context Protocol server enabling advanced integration with Edge Delta APIs. It allows developers and tools to extract, analyze, and automate observability data from Edge Delta through standardized MCP interfaces. The server supports AI-powered applications and automations, and can be deployed via Docker for straightforward operation. The Go API is available for experimental programmatic access.

5 4 MCP

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