metoro-mcp-server - Alternatives & Competitors

Ranked by Relevance

• 1
  

  VictoriaMetrics MCP Server

  Model Context Protocol server enabling advanced monitoring and observability for VictoriaMetrics.

  VictoriaMetrics MCP Server implements the Model Context Protocol (MCP) to provide seamless integration with VictoriaMetrics, allowing advanced monitoring, data exploration, and observability. It offers access to almost all read-only APIs, as well as embedded documentation for offline usage. The server facilitates comprehensive metric querying, cardinality analysis, alert and rule testing, and automation capabilities for engineers and tools.

  87 11 MCP
• 2
  

  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
• 3
  

  PMCP

  Golang Model Context Protocol server for natural language Prometheus queries

  PMCP implements a Model Context Protocol (MCP) server in Go, enabling natural language access and manipulation of Prometheus metrics. It maintains full consistency with the Prometheus HTTP API and supports a robust, type-safe interface for seamless integration with MCP-compatible clients. The server offers complete Prometheus API coverage and supports multiple transport methods, including HTTP and Server-Sent Events. Its modular architecture is designed for performance, extensibility, and effective error handling.

  3 1 MCP
• 4
  

  Lara Translate MCP Server

  Context-aware translation server implementing the Model Context Protocol.

  Lara Translate MCP Server enables AI applications to seamlessly access professional translation services via the standardized Model Context Protocol. It supports features such as language detection, context-aware translations, and translation memory integration. The server acts as a secure bridge between AI models and Lara Translate, managing credentials and facilitating structured translation requests and responses.

  76 13 MCP
• 5
  

  MCP Server for Cortex

  Bridge Cortex threat analysis capabilities to MCP-compatible clients like Claude.

  MCP Server for Cortex exposes the analysis capabilities of a Cortex instance as tools consumable by Model Context Protocol (MCP) clients, such as large language models. It enables these clients to request threat intelligence analyses via Cortex and receive structured results. The server supports easy configuration, secure authentication, and flexible analyzer selection for integrating threat intelligence tasks into automated AI workflows.

  12 4 MCP
• 6
  

  MCP System Monitor

  Real-time system metrics for LLMs via Model Context Protocol

  MCP System Monitor exposes real-time system metrics, such as CPU, memory, disk, network, host, and process information, through an interface compatible with the Model Context Protocol (MCP). The tool enables language models to retrieve detailed system data in a standardized way. It supports querying various hardware and OS statistics via structured tools and parameters. Designed with LLM integration in mind, it facilitates context-aware system monitoring for AI-driven applications.

  73 17 MCP
• 7
  

  Inspektor Gadget MCP Server

  AI-powered Kubernetes troubleshooting via Model Context Protocol.

  Inspektor Gadget MCP Server provides an AI-powered debugging and inspection interface for Kubernetes clusters. Leveraging the Model Context Protocol, it enables intelligent output summarization, one-click deployment of Inspektor Gadget, and automated discovery of debugging tools from Artifact Hub. The server integrates seamlessly with VS Code for interactive AI commands, simplifying Kubernetes troubleshooting and monitoring workflows.

  16 1 MCP
• 8
  

  MCP Status Observer

  Monitor and query real-time operational status of digital platforms using Model Context Protocol.

  MCP Status Observer enables real-time monitoring and querying of service status for major digital platforms and AI providers through the Model Context Protocol (MCP). It supports integration with tools like Claude Desktop for streamlined status checks, incident tracking, and impact analysis across a range of platforms including GitHub, Slack, OpenAI, and Cloudflare. The tool provides detailed component-level insights, incident histories, and resolution statuses, empowering rapid awareness of operational issues and outages.

  5 7 MCP
• 9
  

  mcp-miro

  Model Context Protocol server for integrating MIRO Whiteboard with AI workflows.

  mcp-miro is a Model Context Protocol (MCP) compliant server that connects the MIRO Whiteboard Application to AI-based systems, such as Claude Desktop. It enables board manipulation, sticky note creation, bulk operations, and more through standardized MCP interfaces. Users can authenticate via OAuth and interact with MIRO boards programmatically for collaborative whiteboarding and automation tasks. The server can be installed using Smithery or mcp-get and supports debugging with the MCP Inspector.

  97 31 MCP
• 10
  

  TeslaMate MCP Server

  Query your TeslaMate data using the Model Context Protocol

  TeslaMate MCP Server implements the Model Context Protocol to enable AI assistants and clients to securely access and query Tesla vehicle data, statistics, and analytics from a TeslaMate PostgreSQL database. The server exposes a suite of tools for retrieving vehicle status, driving history, charging sessions, battery health, and more using standardized MCP endpoints. It supports local and Docker deployments, includes bearer token authentication, and is intended for integration with MCP-compatible AI systems like Claude Desktop.

  106 14 MCP
• 11
  

  MCP Server for TheHive

  Connect AI-powered automation tools to TheHive incident response platform via MCP.

  MCP Server for TheHive enables AI models and automation clients to interact with TheHive incident response platform using the Model Context Protocol. It provides tools to retrieve and analyze security alerts, manage cases, and automate incident response operations. The server facilitates seamless integration by exposing these functionalities over the standardized MCP protocol through stdio communication. It offers both pre-compiled binaries and a source build option with flexible configuration for connecting to TheHive instances.

  11 3 MCP
• 12
  

  CyberChef API MCP Server

  MCP server enabling LLMs to access CyberChef's powerful data analysis and processing tools.

  CyberChef API MCP Server implements the Model Context Protocol (MCP), interfacing with the CyberChef Server API to provide structured tools and resources for LLM/MCP clients. It exposes key CyberChef operations such as executing recipes, batch processing, retrieving operation categories, and utilizing the magic operation for automated data decoding. The server can be configured and managed via standard MCP client workflows and supports context-driven tool invocation for large language models.

  29 5 MCP
• 13
  

  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
• 14
  

  MLB API MCP Server

  A Model Context Protocol server for seamless MLB data access through AI applications.

  MLB API MCP Server provides comprehensive access to MLB statistics and baseball data via a FastMCP-based interface. It exposes a range of MLB functionalities—including live game data, player statistics, team information, and advanced metrics—as MCP tools accessible by AI workflows. Compatible with MCP-enabled AI clients, it enables structured, schema-validated querying and integrations for baseball data.

  33 9 MCP
• 15
  

  Exa MCP Server

  Fast, efficient web and code context for AI coding assistants.

  Exa MCP Server provides a Model Context Protocol (MCP) server interface that connects AI assistants to Exa AI’s powerful search capabilities, including code, documentation, and web search. It enables coding agents to retrieve precise, token-efficient context from billions of sources such as GitHub, StackOverflow, and documentation sites, reducing hallucinations in coding agents. The platform supports integration with popular tools like Cursor, Claude, and VS Code through standardized MCP configuration, offering configurable access to various research and code-related tools via HTTP.

  3,224 244 MCP
• 16
  

  ORKL MCP Server

  A Model Context Protocol server for threat intelligence queries via the ORKL API.

  ORKL MCP Server is an implementation of the Model Context Protocol (MCP) designed for seamless integration with MCP-compatible applications. It enables secure querying of the ORKL API, offering tools to fetch and analyze threat reports, threat actors, and intelligence sources. The server streamlines access to detailed cyber threat data for security operations and research.

  45 6 MCP
• 17
  

  Wazuh MCP Server

  Bridge Wazuh SIEM data to AI assistants with Model Context Protocol compatibility.

  Wazuh MCP Server is a Rust-based service that interfaces with Wazuh SIEM systems and transforms their complex data into Model Context Protocol (MCP) compatible formats. It enables AI assistants, including Claude Desktop Integration, to access security alerts, vulnerability assessments, agent health, and other SIEM insights through natural language queries. This solution facilitates compliance teams and security operations by providing actionable data for monitoring, forensics, compliance validation, and incident response.

  137 35 MCP
• 18
  

  @dealx/mcp-server

  MCP server enabling LLMs to search and interact with the DealX platform.

  Implements the Model Context Protocol, providing a standardized interface for large language models to interact with the DealX platform. Supports searching for ads through structured prompts and is designed for easy integration with tools like Claude and VS Code extensions. Flexible configuration options are available for environment variables, logging, and deployment. Extensible architecture supports future feature additions beyond ad search.

  0 2 MCP
• 19
  

  Kibela MCP Server

  MCP server for seamless LLM integration with Kibela knowledge management.

  Kibela MCP Server enables integration of Large Language Models (LLMs) with the Kibela note-sharing platform via the Model Context Protocol. It provides search, retrieval, and management of Kibela notes, users, groups, and folders, exposing these capabilities in a standardized MCP interface. The implementation utilizes Kibela's GraphQL API and supports configuration through environment variables and Docker. Designed for interoperability with tools like Cursor, it streamlines access and manipulation of organizational knowledge by AI systems.

  7 6 MCP
• 20
  

  Baseline MCP Server

  Brings web platform API support status to AI models via Model Context Protocol.

  Baseline MCP Server serves as a Model Context Protocol (MCP) server, providing API endpoints to retrieve the baseline support status of web platform features. It fetches data from the Web Platform Dashboard API and delivers web API compatibility details, including browser support levels, baseline status, and usage data, to MCP clients or AI models. The server is configurable for various MCP clients including Claude Desktop and Visual Studio Code, and can also be deployed via Docker or Deno environments. It enables integration of up-to-date, machine-readable browser compatibility information with large language models and development tools.

  36 3 MCP
• 21
  

  ghidraMCP

  MCP server enabling LLMs to autonomously reverse engineer binaries via Ghidra.

  ghidraMCP acts as a Model Context Protocol (MCP) server, exposing core Ghidra reverse engineering functionality for use by large language models. It enables model clients to perform actions such as decompilation, binary analysis, and automated renaming of methods and data. The system integrates as both a Ghidra plugin and a Python MCP server, supporting interoperability with various MCP-compliant clients. By bridging Ghidra and MCP, it allows autonomous or semi-autonomous analysis of compiled application binaries.

  6,483 499 MCP
• 22
  

  OpenTK Model Context Protocol Server

  A standardized interface for LLMs to access Dutch parliamentary data.

  OpenTK Model Context Protocol Server provides a bridge between large language models and Dutch parliamentary data using the Model Context Protocol (MCP). It enables AI systems to access, search, and analyze parliamentary documents, debates, and member information from the Tweede Kamer through a unified and structured interface. By leveraging the @modelcontextprotocol/sdk, it ensures consistent context management for model interactions. Built atop the OpenTK project, it delivers streamlined access to extensive open government datasets.

  16 3 MCP
• 23
  

  Vibe Check MCP

  Plug & play agent oversight tool to keep LLMs aligned, reflective, and safe.

  Vibe Check MCP provides a mentor layer over large language model agents to prevent over-engineering and promote optimal, minimal pathways. Leveraging research-backed oversight, it integrates seamlessly as an MCP server with support for STDIO and streamable HTTP transport. The platform enhances agent reliability, improves task success rates, and significantly reduces harmful actions. Designed for easy plug-and-play with MCP-aware clients, it is trusted across multiple MCP platforms and registries.

  315 36 MCP
• 24
  

  RAE Model Context Protocol (MCP) Server

  An MCP server enabling LLMs to access RAE’s dictionary and linguistic resources.

  Provides a Model Context Protocol (MCP) server implementation for the Royal Spanish Academy API, facilitating integration with language models. Offers tools such as search and word information retrieval, exposing RAE’s dictionary and linguistic data to LLMs. Supports multiple transports including stdio and SSE, making it suitable for both direct and server-based LLM interactions.

  3 3 MCP
• 25
  

  Grafana-Loki MCP Server

  A FastMCP server for querying Grafana Loki logs via the Model Context Protocol.

  Grafana-Loki MCP Server is a FastMCP-compliant server that enables querying and formatting of Grafana Loki logs using the Model Context Protocol (MCP). It supports various transport protocols (stdio and SSE) and provides tools for querying logs, retrieving labels and label values, and formatting log results in multiple output formats. The server integrates with Grafana's API, offering both command-line and environment variable configuration options for flexibility. Designed for seamless integration into AI model context workflows, it enhances log retrieval and processing in context-aware applications.

  18 3 MCP
• 26
  

  Pydantic Logfire MCP Server

  Enables LLMs to access and analyze application telemetry data through standardized MCP tools.

  Pydantic Logfire MCP Server provides an MCP-compatible interface to access, analyze, and query telemetry data sent to Pydantic Logfire. It allows LLMs to retrieve distributed traces, perform SQL queries on telemetry databases, and generate links for trace inspection. The server can be integrated with well-known MCP clients and supports configuration for secure access with read tokens.

  124 21 MCP
• 27
  

  godoc-mcp

  Token-efficient Go documentation server for LLMs using Model Context Protocol.

  godoc-mcp is a Model Context Protocol (MCP) server that provides efficient, structured access to Go package documentation for large language models. It enables LLMs to understand Go projects without reading entire source files by supplying essential documentation and source code at varying levels of granularity. The tool supports project navigation, automatic module setup, caching, and works offline for both standard and third-party Go packages.

  88 11 MCP
• 28
  

  Parallel Task MCP

  Launch deep research or task groups for Parallel APIs via the Model Context Protocol.

  Parallel Task MCP provides a way to initiate and manage research or task groups through LLM clients using the Model Context Protocol. It enables seamless integration with Parallel’s APIs for flexible experimentation and production development. The tool supports both remote and local deployment, and offers connection capabilities for context-aware AI workflows.

  4 3 MCP
• 29
  

  mcp-log-proxy

  Web-based proxy for inspecting Model Context Protocol traffic in real time.

  mcp-log-proxy enables users to observe and debug messages exchanged between MCP clients and servers through a user-friendly web interface. It supports the STDIO interface and can operate multiple proxy instances, each accessible via a web dashboard. The tool allows customization of ports, web page titles, and log file locations, making it suitable for managing and troubleshooting MCP-based model communication. Installation is straightforward via Homebrew or Go, and it supports real-time switching between different running proxies.

  26 3 MCP
• 30
  

  TripGo MCP Server

  Remote MCP server providing transport location, departure, and routing tools via the TripGo API.

  TripGo MCP Server acts as a remote Model Context Protocol server that wraps the TripGo API, offering tools for retrieving transport-related locations, departures from transport stops, multi-modal trip planning, and trip URL retrieval. It is deployed on Cloudflare Workers and is accessible directly or via MCP-compatible clients such as Claude Desktop through the mcp-remote proxy. The server supports direct integration for context-aware transport queries and trip management, facilitating enhanced interactions with public transport data.

  2 2 MCP
• 31
  

  Calculator MCP Server

  Enables LLMs to perform precise numerical calculations via Model Context Protocol.

  Calculator MCP Server provides a Model Context Protocol-compliant server which allows large language models to use calculator functionality for accurate numerical operations. It offers a single tool called 'calculate' for evaluating mathematical expressions that can be integrated into MCP ecosystems. Installation and configuration options are available via pip or uvx to support multiple client workflows. The server simplifies connecting LLMs to robust, external calculation capabilities for enhanced mathematical reasoning.

  131 21 MCP
• 32
  

  Beelzebub

  AI-driven honeypot framework with advanced threat detection and context protocol support.

  Beelzebub is an advanced honeypot framework that utilizes AI and large language models (LLMs) to realistically simulate system interactions, enabling the detection and analysis of sophisticated cyber attacks. The platform supports modular service definitions via YAML, integrates with observability stacks, and supports multiple protocols including MCP, which is used to detect prompt injection against LLM agents. Designed for security researchers and professionals, it enables the creation of distributed honeypot networks for collaborative global threat intelligence.

  1,680 155 MCP
• 33
  

  Oura MCP Server

  Enables language models to access Oura sleep, readiness, and resilience data via MCP.

  Oura MCP Server implements the Model Context Protocol to provide language models with access to Oura API data. It allows querying of sleep, readiness, and resilience metrics for specified date ranges or for the current day. The server supports integration with tools like Claude for Desktop and handles API authentication and error scenarios gracefully. Designed for seamless access to personal health metrics through standardized protocol endpoints.

  34 10 MCP
• 34
  

  Strava MCP Server

  Bridge Strava data and tools to LLMs via the Model Context Protocol.

  Strava MCP Server provides a standardized MCP interface to access and manage Strava data, exposing activities, profiles, segments, routes, and statistics as AI-consumable tools. Implemented in TypeScript, it enables large language models to interact with Strava's extensive API through natural language prompts and structured MCP endpoints. The server supports fetching, viewing, and exporting data including activities, heart rate, power, and routes, making advanced context-driven integrations possible for AI applications.

  180 27 MCP
• 35
  

  solvitor-mcp

  A Rust-based MCP server for extracting Solana smart contract IDL via the Solvitor API.

  solvitor-mcp is a Model Context Protocol (MCP) server built in Rust for seamless interaction with the Solvitor API. It allows users to extract Interface Definition Language (IDL) files from closed-source Solana smart contracts using reverse engineering techniques. By exposing a 'decode' tool, it simplifies access to program metadata and supports both 'anchor' and 'native' Solana programs. Integration is straightforward and can be customized with user API keys for secure access.

  2 2 MCP
• 36
  

  Strava MCP Server

  Integrate Strava OAuth with a cloud-based Model Context Protocol server.

  Provides a Model Context Protocol (MCP) server that enables users to connect via Strava OAuth, backed by Cloudflare Workers for remote context protocol handling. It acts both as an OAuth server for MCP clients and an OAuth client for Strava, supporting secure authentication, persistent state management, and seamless integration for connecting model context tools. Serves as a reference example for deploying MCP servers that integrate third-party OAuth providers like Strava.

  21 2 MCP
• 37
  

  Cloudbet Sports MCP Server

  Minimal MCP server for sports data and betting tool exposure via Cloudbet API.

  Implements a minimal, single-file server adhering to the Model Context Protocol (MCP) for exposing sports data and betting tools using the Cloudbet public API. Designed for educational and demonstration purposes, it follows the MCP Server specification and enables users to list and call tools via JSON-RPC. Provides examples for listing available tools and invoking actions such as retrieving sports events and markets. Intended for quick experiments and integration scenarios.

  9 3 MCP
• 38
  

  melrose-mcp

  An MCP server for generating and playing programmable music via Melrōse.

  melrose-mcp is a Model Context Protocol (MCP) server that enables users to compose and perform music using the Melrōse programming language. It facilitates communication between AI models and the Melrōse tool, allowing for dynamic manipulation of tempo, playback, and MIDI configuration. The project supports various tools for controlling musical expression and can be integrated into client applications such as Claude Desktop.

  7 3 MCP
• 39
  

  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
• 40
  

  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
• 41
  

  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
• 42
  

  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
• 43
  

  MCP Server Kubernetes

  Connect and manage Kubernetes clusters via Model Context Protocol servers.

  MCP Server Kubernetes enables seamless connection and management of Kubernetes clusters through the Model Context Protocol. It supports loading kubeconfig from multiple sources, integrates easily with Claude Code, Claude Desktop, and VS Code, and offers flexible authentication mechanisms. Users can control clusters using standard command-line tools and extension integrations for multiple environments.

  1,181 194 MCP
• 44
  

  Last9 MCP Server

  Enables AI agents to access real-time production observability data for automated code fixes.

  Last9 MCP Server is an implementation of the Model Context Protocol (MCP) designed to provide seamless integration between AI agents and production observability data. It allows tools and agents to fetch live logs, metrics, traces, events, and alerts from Last9 systems, supporting a range of development environments and IDEs. This enables faster debugging, automated code fixes, and insightful context directly within local development workflows.

  46 8 MCP
• 45
  

  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
• 46
  

  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
• 47
  

  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
• 48
  

  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
• 49
  

  k8s-mcp-server

  Securely enable Claude to run Kubernetes CLI tools via Anthropic's Model Context Protocol.

  K8s MCP Server provides a Docker-based implementation of Anthropic's Model Context Protocol (MCP), allowing Claude to securely execute Kubernetes CLI tools such as kubectl, helm, istioctl, and argocd within a containerized environment. It integrates with Claude Desktop so users can interact with their Kubernetes clusters using natural language. The server emphasizes security by operating as a non-root user and offering strict command validation, while also supporting major cloud providers like AWS, Google Cloud, and Azure. Easy configuration and support for various Unix tools further enhance its capabilities.

  166 31 MCP
• 50
  

  VictoriaLogs MCP Server

  MCP server enabling advanced read-only access and observability for VictoriaLogs

  VictoriaLogs MCP Server implements the Model Context Protocol (MCP) to provide seamless, read-only integration with VictoriaLogs instances. It enables comprehensive access to VictoriaLogs APIs, allowing for log querying, exploration, and advanced observability tasks. The server includes embedded and searchable documentation and supports automation and interaction capabilities via standardized MCP tools. Designed to combine with other MCP servers, it enhances engineering workflows for log analysis and troubleshooting.

  30 7 MCP