io.github.cr7258/elasticsearch-mcp-server - Alternatives & Competitors

Ranked by Relevance

• 1
  

  Open-WebSearch MCP Server

  Multi-engine web search MCP server without API keys

  Open-WebSearch MCP Server is a Model Context Protocol (MCP) compliant server offering web search functionalities using multiple search engines without the need for API keys or authentication. It provides structured search results with titles, URLs, and descriptions, and enables fetching of article content from supported sources such as CSDN and GitHub. The server supports extensive configuration through environment variables, including proxy settings and search engine customization. Designed for flexibility, it operates in both HTTP and stdio modes, making it suitable for integration into larger systems.

  463 78 MCP
• 2
  

  JVM MCP Server

  Lightweight multi-agent protocol server for JVM monitoring and diagnostics.

  JVM MCP Server provides a lightweight, zero-dependency server that implements the Multi-Agent Communication Protocol for monitoring and diagnosing Java applications. It leverages native JDK tools to enable powerful AI agent interactions for gathering JVM metrics, analyzing memory and threads, and performing advanced diagnostics without relying on third-party software. The server supports both local and remote Java environments through SSH, ensuring cross-platform compatibility and secure operation.

  71 15 MCP
• 3
  

  SafeDep VET

  Enterprise-grade open source software supply chain security with MCP capabilities.

  SafeDep VET is an open source tool that provides supply chain security for open source software, featuring advanced software composition analysis and policy-as-code driven security enforcement. It supports multiple package ecosystems and integrates with CI/CD pipelines. Notably, it offers an MCP (Model Context Protocol) server mode to vet open source packages arising from AI-suggested code, and includes agent-based querying and scan result analysis powered by AI. The tool enables real-time malicious package detection through cloud integration and prioritizes actionable insights by analyzing actual code usage.

  829 68 MCP
• 4
  

  Postman MCP Server

  MCP-compliant server providing full access to the Postman API.

  Postman MCP Server is a TypeScript-based implementation of an MCP server that offers extensive integration with the Postman API. It enables management of Postman collections, environments, and APIs while supporting advanced features like authentication, webhooks, and enterprise controls. The project is part of the Model Context Protocol initiative and adheres to MCP standards for model context integration. Designed with developers in mind, it provides CRUD operations, version control, and seamless automation capabilities.

  143 31 MCP
• 5
  

  MacOS Resource Monitor MCP Server

  Lightweight MCP server for monitoring CPU, memory, and network usage on macOS.

  MacOS Resource Monitor MCP Server provides real-time monitoring of system resources on macOS devices, exposing an MCP endpoint for integration with LLMs or other clients. It identifies resource-intensive processes across CPU, memory, and network, delivering structured JSON outputs. The server offers advanced filtering, sorting, and system overviews, assisting in performance analysis and bottleneck identification. Designed for seamless integration and lightweight system monitoring.

  16 3 MCP
• 6
  

  Octomind MCP Server

  Let agents create and manage automated end-to-end tests with Octomind.

  Octomind MCP Server enables agents to interact with Octomind's end-to-end testing platform, allowing the creation, execution, and management of automated tests. It provides a server that integrates with various clients and allows for configuration, session management, and access to multiple testing tools and resources. The server supports extensible session storage options and integrates with external platforms like TestRail and Redis for advanced scenarios. It is designed to facilitate local development and enhance test management workflows.

  21 9 MCP
• 7
  

  Postgres MCP Pro

  A Model Context Protocol server for advanced PostgreSQL management, tuning, and AI-powered context.

  Postgres MCP Pro is an open-source Model Context Protocol (MCP) server designed to enhance the entire PostgreSQL lifecycle, from development and testing to production tuning and maintenance. It provides deep database health analysis, intelligent index tuning, query plan optimization, schema-aware SQL generation, and safe SQL execution with robust access controls. The solution supports both standard input/output and server-sent events transports, enabling integration with AI agents for automated or context-aware database operations.

  1,487 166 MCP
• 8
  

  Swarmia MCP Server

  Connect Swarmia's metrics and reports to MCP clients for advanced analytics.

  Swarmia MCP Server acts as a bridge between Swarmia's Export API and Model Context Protocol (MCP) clients, enabling streamlined access to advanced metrics and reporting. It supports the retrieval of pull request metrics, DORA metrics, investment balance reports, software capitalization data, and effort reporting. The server is designed to work seamlessly with various MCP clients, allowing users to fetch and analyze organizational engineering data via standardized protocols.

  2 1 MCP
• 9
  

  char-index-mcp

  Character-level string manipulation tools via MCP server.

  char-index-mcp is a Model Context Protocol (MCP) server offering character-level, index-based string manipulation tools. It provides utilities for finding, splitting, and modifying strings with precise control over character positions, making it highly suited for test code generation that requires exact text handling. The server can be easily installed and integrated with platforms like Claude and Cursor, and features batch processing and regex-based utilities.

  0 1 MCP
• 10
  

  Couchbase MCP Server

  Enable LLMs to interact directly with Couchbase clusters via the Model Context Protocol.

  Couchbase MCP Server provides an MCP-compliant server for connecting Large Language Models to Couchbase clusters. It supports various database operations such as bucket and collection listing, document retrieval, upsert, and deletion, as well as running SQL++ queries and retrieving index information. Designed for easy integration with MCP clients like Claude Desktop, it includes features for secure authentication and query mode configuration. The server can be deployed using a prebuilt PyPI package or directly from source.

  24 28 MCP
• 11
  

  Kubernetes MCP Server

  A standardized MCP interface for Kubernetes cluster management and introspection.

  Kubernetes MCP Server enables interaction with Kubernetes clusters via the Model Context Protocol, providing a consistent and standardized interface across various tools and environments. It features resource discovery, detailed inspection, metrics retrieval, resource manipulation, and supports multiple communication modes such as stdio, SSE, and streamable HTTP. Designed for flexibility and security, it allows both read-only and full-access modes and works with different Kubernetes contexts.

  117 21 MCP
• 12
  

  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
• 13
  

  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
• 14
  

  1mcp-app/agent

  A unified server that aggregates and manages multiple Model Context Protocol servers.

  1MCP Agent provides a single, unified interface that aggregates multiple Model Context Protocol (MCP) servers, enabling seamless integration and management of external tools for AI assistants. It acts as a proxy, managing server configuration, authentication, health monitoring, and dynamic server control with features like asynchronous loading, tag-based filtering, and advanced security options. Compatible with popular AI development environments, it simplifies setup by reducing redundant server instances and resource usage. Users can configure, monitor, and scale model tool integrations across various AI clients through easy CLI commands or Docker deployment.

  96 14 MCP
• 15
  

  CockroachDB MCP Server

  Natural language interface for managing CockroachDB via MCP protocol

  CockroachDB MCP Server enables natural language interactions with CockroachDB, integrating with Model Context Protocol (MCP) clients. It supports comprehensive database management, cluster monitoring, and SQL operations through standardized tools. Designed for LLMs and agentic applications, it facilitates seamless AI-driven workflows to query, manipulate, and monitor CockroachDB databases. The system emphasizes performance, scalability, and easy integration with popular LLM tools.

  6 3 MCP
• 16
  

  liveblocks-mcp-server

  Enable AI models to interact with Liveblocks via standardized MCP server endpoints.

  liveblocks-mcp-server provides a Model Context Protocol (MCP) server allowing AI clients to access, create, modify, and delete resources within Liveblocks such as rooms, threads, comments, and notifications. The server also offers read access to Liveblocks Storage and Yjs, making it easier for AI interfaces to manage collaborative features through Liveblocks’ REST API. Integration is supported for various clients including Cursor, Claude Desktop, and VS Code. Secure authentication is handled via project-specific secret keys.

  11 8 MCP
• 17
  

  mcp-k8s

  A Kubernetes MCP server enabling resource management via Model Control Protocol.

  mcp-k8s is a Kubernetes server that implements the Model Control Protocol (MCP), allowing users to interact with Kubernetes clusters through MCP-compatible tools. It supports querying and managing all Kubernetes resources, including custom resources, with fine-grained control over read and write operations. The server utilizes stdio communication and integrates with both Kubernetes and Helm, facilitating resource and Helm release management. It is designed to support natural language interactions with large language models for managing, diagnosing, and learning Kubernetes operations.

  129 25 MCP
• 18
  

  Kubectl MCP Server

  Natural language Kubernetes management for AI assistants using the Model Context Protocol.

  Kubectl MCP Server enables AI assistants such as Claude and Cursor to interact with Kubernetes clusters using natural language through the Model Context Protocol (MCP). It supports a wide range of Kubernetes operations including resource management, Helm integration, monitoring, diagnostics, and advanced security features. The server is designed to handle context-aware commands, maintain session memory, and provide intelligent command construction and explanations. Integration with multiple AI assistants and flexible transport protocols are supported for a seamless user experience.

  734 137 MCP
• 19
  

  FHIR MCP Server

  A Model Context Protocol server for seamless interaction with FHIR resources and AI tools.

  FHIR MCP Server implements a full Model Context Protocol server, enabling large language model agents to perform comprehensive CRUD operations on FHIR-compliant healthcare data. It offers standardized integration with various clinical data sources, natural-language query capabilities, and supports secure authentication via OAuth2. The server includes semantic search, AI-powered document processing, terminology resolution, Docker deployment, and is optimized for use with MCP-compatible clients like Claude Desktop.

  34 5 MCP
• 20
  

  Apple Health MCP Server

  Connect Apple Health data with any LLM using the Model Context Protocol.

  Apple Health MCP Server enables users to import, parse, and analyze Apple Health data exports, seamlessly connecting them to large language models (LLMs) that support the Model Context Protocol. Built on the high-performance FastMCP framework, it supports natural language querying, trend analysis, and integration with databases like Elasticsearch, ClickHouse, and DuckDB. The project offers modular tools for data exploration, structure analysis, and automated statistics generation. Designed for flexibility and scalability, it is container-ready and provides extensive configuration options.

  64 9 MCP
• 21
  

  mcp

  Universal remote MCP server connecting AI clients to productivity tools.

  WayStation MCP acts as a remote Model Context Protocol (MCP) server, enabling seamless integration between AI clients like Claude or Cursor and a wide range of productivity applications, such as Notion, Monday, Airtable, Jira, and more. It supports multiple secure connection transports and offers both general and user-specific preauthenticated endpoints. The platform emphasizes ease of integration, OAuth2-based authentication, and broad app compatibility. Users can manage their integrations through a user dashboard, simplifying complex workflow automations for AI-powered productivity.

  27 6 MCP
• 22
  

  Open Feishu MCP Server

  A Cloudflare-based remote MCP server with integrated Feishu OAuth authentication.

  Open Feishu MCP Server provides a fully functional remote Model Context Protocol (MCP) server with integrated Feishu OAuth support. It enables zero-configuration user authentication and context management via Feishu accounts and is optimized for usability and tool set performance. Designed for deployment on Cloudflare Workers, it offers scalable, secure connectivity with multiple clients and supports seamless integration with various tools and platforms.

  66 9 MCP
• 23
  

  python-openstackmcp-server

  MCP server enabling AI-powered OpenStack cloud management

  python-openstackmcp-server implements the Model Context Protocol (MCP) to provide an interface for AI assistants to interact seamlessly with OpenStack cloud services. It supports the management of compute, image, identity, network, and block storage resources via the MCP standard, bridging the gap between AI clients and OpenStack APIs. The server connects to the OpenStack SDK and exposes capabilities such as authentication, configuration management, and resource operations for cloud environments.

  15 6 MCP
• 24
  

  mcp-server-js

  Enable secure, AI-driven process automation and code execution on YepCode via Model Context Protocol.

  YepCode MCP Server acts as a Model Context Protocol (MCP) server that facilitates seamless communication between AI platforms and YepCode’s workflow automation infrastructure. It allows AI assistants and clients to execute code, manage environment variables, and interact with storage through standardized tools. The server can expose YepCode processes directly as MCP tools and supports both hosted and local installations via NPX or Docker. Enterprise-grade security and real-time interaction make it suitable for integrating advanced automation into AI-powered environments.

  31 13 MCP
• 25
  

  cloudflare/mcp-server-cloudflare

  Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.

  Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.

  2,919 251 MCP
• 26
  

  awslabs/mcp

  Specialized MCP servers for seamless AWS integration in AI and development environments.

  AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.

  6,220 829 MCP
• 27
  

  mcp-open-library

  Model Context Protocol server for accessing Open Library book and author data.

  Provides an implementation of a Model Context Protocol (MCP) server to enable AI assistants and clients to search and retrieve book and author information from the Open Library API. Supports searching by title, author name, and various identifiers, as well as fetching author photos and book covers. Returns structured, machine-readable data suitable for AI model context integration. Offers installation via Smithery, manual setup, and Docker deployment.

  34 9 MCP
• 28
  

  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
• 29
  

  Google Tasks MCP Server

  Integrate and manage Google Tasks via standardized MCP tools and resources.

  Google Tasks MCP Server integrates seamlessly with Google Tasks, providing standardized tools for listing, searching, creating, updating, and deleting tasks. Following the Model Context Protocol, it exposes task resources and actions in a way that can be easily integrated with MCP-driven applications, including desktop AI assistants. The server supports OAuth authentication, context-driven task manipulation, and automated integration with platforms like Smithery and Claude Desktop.

  91 32 MCP
• 30
  

  books-mcp-server

  A server implementation supporting Model Context Protocol integration with cherry-studio.

  books-mcp-server allows users to set up a Model Context Protocol (MCP) compliant server for managing and interacting with AI models. It enables integration with cherry-studio through STDIO commands and structured server configurations. The tool provides straightforward setup instructions and supports launching the server with customizable parameters, making it suitable for various AI context management tasks.

  5 2 MCP
• 31
  

  MCP Server for Iaptic

  A Model Context Protocol server for accessing and managing Iaptic data with AI agents.

  MCP Server for Iaptic implements the Model Context Protocol to enable AI models, such as Claude, to securely and efficiently interact with Iaptic's customer, purchase, transaction, and statistics data. The server provides a standardized interface and command set for querying and managing information related to customers, purchases, transactions, events, and application management. Designed for integration with Claude Desktop and similar AI clients, it offers both automated and manual installation options.

  5 7 MCP
• 32
  

  CLI MCP Server

  A secure MCP server for controlled command-line operations.

  CLI MCP Server provides a secure implementation of the Model Context Protocol (MCP) for executing command-line operations with robust security features. It enables controlled CLI access by enforcing command and flag whitelisting, path validation, and shell operator restrictions, making it suitable for integration with large language model applications. Designed for configurable deployment, it supports detailed error reporting, execution timeouts, and strict working directory controls.

  155 28 MCP
• 33
  

  cert-manager-mcp-server

  Manage and troubleshoot cert-manager resources with an MCP server interface.

  cert-manager-mcp-server provides an MCP-compliant server for managing and troubleshooting certificates, issuers, and Kubernetes contexts related to cert-manager. It exposes tools to list, inspect, and renew certificates, manage issuers, and switch Kubernetes contexts. The server is designed for integration with Model Context Protocol environments such as Claude Desktop, enabling robust automation and monitoring workflows around cert-manager-managed resources.

  15 1 MCP
• 34
  

  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
• 35
  

  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
• 36
  

  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
• 37
  

  mcp-server-commands

  Expose safe shell command execution as an MCP server for LLM tooling.

  mcp-server-commands exposes a server that provides a 'run_command' tool for local or remote large language models (LLMs) via the Model Context Protocol (MCP). It enables LLMs to execute shell commands, retrieve STDOUT and STDERR, and optionally pass data through stdin. The tool integrates with apps like Claude Desktop and Groq Desktop, and can be run via npm or as a local build, with security in mind.

  207 32 MCP
• 38
  

  CentralMind Gateway

  Create an API or MCP Server for structured databases in minutes.

  CentralMind Gateway automatically generates secure, LLM-optimized APIs for structured databases and exposes them via REST, OpenAPI 3.1, or the Model Context Protocol (MCP), including Server-Sent Events (SSE) for AI agents. It integrates privacy protection, auditing, and authentication mechanisms to enable seamless and compliant data access for AI-powered applications. The tool supports multiple database backends and is optimized for AI workloads, providing enhanced metadata for improved context understanding.

  500 62 MCP
• 39
  

  Chroma MCP Server

  A self-hosted Model Context Protocol (MCP) server for Chroma vector database integration.

  Chroma MCP Server implements the Model Context Protocol to allow seamless integration between LLM applications and external data using the Chroma embedding database. It enables AI models to create, manage, and query collections with advanced vector search, full text search, and metadata filtering. The server supports both ephemeral and persistent client types, along with integration for HTTP and cloud-based Chroma instances. Multiple embedding functions, collection management tools, and rich document operations are available for extensible LLM workflows.

  418 78 MCP
• 40
  

  ClickHouse MCP Server

  An MCP-compliant server for executing and managing SQL queries on ClickHouse and chDB.

  ClickHouse MCP Server provides an MCP-compliant interface for executing SQL queries, listing databases, and managing tables on ClickHouse clusters. It supports both direct ClickHouse connections and embedded chDB engines, offering pagination, filtering, and detailed metadata in responses. Integrated health checks and flexible configuration options make it suitable for a variety of deployment scenarios.

  592 127 MCP
• 41
  

  Open Data Model Context Protocol

  Easily connect open data providers to LLMs using a Model Context Protocol server and CLI.

  Open Data Model Context Protocol enables seamless integration of open public datasets into Large Language Model (LLM) applications, starting with support for Claude. Through a CLI tool and server, users can access and query public data providers within their LLM clients. It also offers tools and templates for contributors to publish and distribute new open datasets, making data discoverable and actionable for LLM queries.

  140 21 MCP
• 42
  

  Slack MCP Server

  A feature-rich Model Context Protocol server for integrating Slack Workspaces with AI model context management.

  Slack MCP Server acts as a Model Context Protocol (MCP) server tailored for Slack Workspaces, providing flexible integration modes including Stealth and OAuth. It enables advanced functionalities such as fetching channel and thread messages, supporting direct and group messages, smart history retrieval, and robust context management for AI workflows. Communication is supported over Stdio, SSE, and HTTP transports, and the platform includes enhanced features like user information embedding and cache support. Designed for enterprise and individual use, it allows seamless context extraction and management without compromising workspace security.

  903 136 MCP
• 43
  

  OCI Registry MCP Server

  Expose OCI registry data to LLM-powered applications via the Model Context Protocol.

  Implements a Model Context Protocol (MCP) server that enables language model applications to query OCI registries. Provides tools for retrieving image information, listing repository tags, and accessing manifests and configs. Features secure authentication support and seamless integration with ToolHive for containerized deployment. Empowers AI-driven systems to interact programmatically with container registries.

  11 3 MCP
• 44
  

  dicom-mcp

  A Model Context Protocol server for managing and querying DICOM medical imaging data.

  dicom-mcp enables AI assistants and tools to query, read, and transfer data on DICOM servers, such as PACS and VNA systems. It integrates with MCP-compatible clients, offering tooling for searching patient records, retrieving medical reports, and sending image data to analysis endpoints. Configurable via YAML, it streamlines operations on DICOM databases for research and development in medical imaging. It is explicitly designed for interoperability with LLM-based AI workflows.

  74 21 MCP
• 45
  

  pluggedin-mcp-proxy

  Unified proxy server for Model Context Protocol data exchanges and AI integrations

  Aggregates multiple Model Context Protocol (MCP) servers into a single, unified proxy interface, supporting real-time discovery, management, and orchestration of AI model resources, tools, and prompts. Enables seamless interaction between MCP clients such as Claude, Cline, and Cursor, while integrating advanced document search, AI document exchange, and workspace management. Provides flexible transport modes (STDIO and Streamable HTTP), robust authentication, and comprehensive security measures for safe and scalable AI data exchange.

  87 15 MCP
• 46
  

  MKP

  A Model Context Protocol server enabling LLM-powered applications to interact with Kubernetes clusters.

  MKP is a Model Context Protocol (MCP) server designed for Kubernetes environments, allowing large language model (LLM) powered applications to list, retrieve, and apply Kubernetes resources through a standardized protocol interface. Built natively in Go, it utilizes Kubernetes API machinery to provide direct, type-safe, and reliable operations without dependencies on CLI tools. MKP offers a minimalist, pluggable design enabling universal resource support, including custom resource definitions, and includes built-in rate limiting for production readiness.

  54 5 MCP
• 47
  

  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
• 48
  

  quran-mcp-server

  MCP server to access Quran.com API with AI tool compatibility.

  quran-mcp-server exposes the Quran.com corpus and associated data through a Model Context Protocol (MCP) server generated from an OpenAPI specification. It provides tool endpoints for chapters, verses, translations, tafsirs, audio, languages, and more. The server is designed for seamless integration with large language models (LLMs) and AI tools, supporting both Docker and Node.js environments. Advanced logging features and flexible deployment options are included for debugging and development.

  49 10 MCP
• 49
  

  Kestra Python MCP Server

  Run Kestra orchestrations with Model Context Protocol support via Docker.

  Kestra Python MCP Server enables integration of the Kestra workflow orchestration platform with environments that use the Model Context Protocol (MCP). It provides a Dockerized MCP server for managing workflows, executions, files, namespaces, and more, with support for both Open-Source (OSS) and Enterprise Edition (EE) setups. The server can be configured easily using environment variables and is compatible with tools like VS Code and Claude, making model-driven orchestration accessible and modular.

  16 3 MCP
• 50
  

  mcpmcp-server

  Seamlessly discover, set up, and integrate MCP servers with AI clients.

  mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

  17 6 MCP