Kubernetes MCP Server - Alternatives & Competitors

Ranked by Relevance

• 1
  

  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
• 2
  

  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
• 3
  

  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
• 4
  

  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
• 5
  

  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
• 6
  

  metoro-mcp-server

  Bridge Kubernetes observability data to LLMs via the Model Context Protocol.

  Metoro MCP Server is an implementation of the Model Context Protocol (MCP) that enables seamless integration between Kubernetes observability data and large language models. It connects Metoro’s eBPF-based telemetry APIs to LLM applications such as the Claude Desktop App, allowing AI systems to query and analyze Kubernetes clusters. This solution supports both authenticated and demo modes for accessing real-time cluster insights.

  45 12 MCP
• 7
  

  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
• 8
  

  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
• 9
  

  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
• 10
  

  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
• 11
  

  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
• 12
  

  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
• 13
  

  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
• 14
  

  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
• 15
  

  Druid MCP Server

  Comprehensive Model Context Protocol server for advanced Apache Druid management and analytics

  Druid MCP Server provides a fully MCP-compliant interface for managing, analyzing, and interacting with Apache Druid clusters. Leveraging tools, resources, and AI-assisted prompts, it enables LLM clients and AI agents to perform operations such as time series analysis, statistical exploration, and data management through standardized protocols. The server is built with a feature-based architecture, offers real-time communication via multiple transports, and includes automatic discovery and registration of MCP components.

  9 4 MCP
• 16
  

  Tilt MCP Server

  Programmatic Access to Tilt via Model Context Protocol for LLMs

  Tilt MCP Server provides Model Context Protocol (MCP) capabilities to enable seamless integration between Tilt—an environment for managing Docker/Kubernetes workloads—and large language model (LLM) applications. It allows LLMs and AI assistants to interact programmatically with Tilt resources, retrieve logs, monitor status, trigger actions, and utilize guided workflows. The server exposes standardized resources, tools, and prompts for intelligent management and automation of Tilt-based development environments.

  2 1 MCP
• 17
  

  Opik MCP Server

  A unified Model Context Protocol server for Opik with multi-transport IDE integration.

  Opik MCP Server is an open-source implementation of the Model Context Protocol (MCP) designed for the Opik platform. It enables seamless integration with compatible IDEs and provides a unified interface to manage Opik's features such as prompts, projects, traces, and metrics. Supporting multiple transport mechanisms like stdio and experimental SSE, it simplifies workflow integration and platform management for LLM applications. The tool aims to streamline development and monitoring by offering standardized access and control over Opik's capabilities.

  182 27 MCP
• 18
  

  Portainer MCP

  Connect AI assistants securely to Portainer environments using the Model Context Protocol.

  Portainer MCP is an implementation of the Model Context Protocol (MCP) designed for seamless integration between AI assistants and Portainer-managed container environments. It enables management of Portainer resources and allows execution of Docker and Kubernetes commands through AI interfaces in a secure, standardized manner. The tool provides direct protocol-based access to environment data, facilitating automation and operational insights for container infrastructures.

  81 16 MCP
• 19
  

  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
• 20
  

  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
• 21
  

  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
• 22
  

  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
• 23
  

  Kafka Schema Registry MCP Server

  MCP-compliant server for advanced Kafka Schema Registry management and integration.

  Kafka Schema Registry MCP Server is a fully-compliant Model Context Protocol (MCP) server built with the FastMCP 2.8.0+ framework. It provides advanced schema context support, enables multi-registry management, and offers comprehensive schema export capabilities. The tool is designed for seamless integration with Claude Desktop and other MCP clients using JSON-RPC over stdio. It supports Docker-based deployment and includes features to streamline both administrator and end-user workflows.

  26 7 MCP
• 24
  

  Firefly MCP Server

  Seamless resource discovery and codification for Cloud and SaaS with Model Context Protocol integration.

  Firefly MCP Server is a TypeScript-based server implementing the Model Context Protocol to enable integration with the Firefly platform for discovering and managing resources across Cloud and SaaS accounts. It supports secure authentication, resource codification into infrastructure as code, and easy integration with tools such as Claude and Cursor. The server can be configured via environment variables or command line and communicates using standardized MCP interfaces. Its features facilitate automation and codification workflows for cloud resource management.

  15 6 MCP
• 25
  

  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
• 26
  

  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
• 27
  

  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
• 28
  

  Higress OPS MCP Server

  Model Context Protocol server and client for fully managed Higress configuration.

  Higress OPS MCP Server delivers a Model Context Protocol-compliant server and client for centralized configuration and management of Higress. It leverages a flexible tool-based architecture and offers seamless integration with LangGraph and LangChain MCP Adapters, streamlining agent-driven workflows for system operations. The package allows developers to define, extend, and register custom tools, supporting secure interaction with the Higress Console API. Sensitive actions can be flagged for human confirmation to enhance operational safety.

  22 8 MCP
• 29
  

  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
• 30
  

  MCP Server for ZenML

  Expose ZenML data and pipeline operations via the Model Context Protocol.

  Implements a Model Context Protocol (MCP) server for interfacing with the ZenML API, enabling standardized access to ZenML resources for AI applications. Provides tools for reading data about users, stacks, pipelines, runs, and artifacts, as well as triggering new pipeline runs if templates are available. Includes robust testing, automated quality checks, and supports secure connection from compatible MCP clients. Designed for easy integration with ZenML instances, supporting both local and remote ZenML deployments.

  32 10 MCP
• 31
  

  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
• 32
  

  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
• 33
  

  Vectara MCP Server

  Secure RAG server enabling seamless AI integration via Model Context Protocol.

  Vectara MCP Server implements the open Model Context Protocol to enable AI systems and agentic applications to connect securely with Vectara's Trusted RAG platform. It supports multiple transport modes, including secure HTTP, Server-Sent Events (SSE), and local STDIO for development. The server provides fast, reliable retrieval-augmented generation (RAG) operations with built-in authentication, rate limiting, and optional CORS configuration. Integration is compatible with Claude Desktop and any other MCP client.

  25 8 MCP
• 34
  

  Substrate MCP Server

  A Rust-based MCP server for dynamic Substrate blockchain operations.

  Substrate MCP Server provides a Model Context Protocol (MCP) compliant server enabling dynamic interaction with Substrate blockchains. It supports querying balances, pallets, and storage, as well as submitting transactions and accessing block and event data. The server is fully configurable via environment variables and designed for seamless integration with tools such as Cursor, Claude, and development dashboards. Built in Rust, it interfaces with Substrate nodes using the subxt crate.

  11 4 MCP
• 35
  

  MCP Fathom Analytics

  Unofficial MCP server for AI-powered access to Fathom Analytics data.

  MCP Fathom Analytics provides an unofficial Model Context Protocol (MCP) server that enables AI assistants to access and interact with Fathom Analytics data. It integrates with the Fathom Analytics API via the @mackenly/fathom-api SDK, offering tools to retrieve account details, manage sites, list events, generate analytics reports, and access real-time visitor data. Designed for use in AI model workflows, it allows secure and flexible analytics integration and supports configuration for clients such as Claude Desktop.

  2 5 MCP
• 36
  

  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
• 37
  

  MCP Nutanix

  An MCP server enabling LLM access to Nutanix Prism Central APIs.

  MCP Nutanix is an experimental Model Context Protocol (MCP) server that allows large language models to interact with Nutanix Prism Central APIs. It facilitates listing and accessing resources such as VMs, clusters, and hosts via standardized MCP client-server integration, using the Prism Go Client for backend communication. The implementation supports both interactive and static credential methods, making it compatible with various MCP clients including Claude and Cursor.

  11 5 MCP
• 38
  

  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
• 39
  

  Keycloak MCP Server

  MCP server for streamlined Keycloak administration and user management

  Keycloak MCP Server provides a Model Context Protocol (MCP) interface for managing Keycloak users and realms. It enables easy creation, deletion, and listing of users and realms through standardized tools. Designed for integration with platforms like Claude Desktop and tools like Smithery, it automates repeated Keycloak admin tasks and supports both NPM and local development setups.

  33 9 MCP
• 40
  

  searchcraft-mcp-server

  An MCP Server for managing Searchcraft clusters and powering AI-driven search administration.

  searchcraft-mcp-server is a TypeScript/Node.js server that implements the Model Context Protocol (MCP) for Searchcraft clusters. It provides a suite of programmable tools for managing indexes, documents, federations, access keys, and analytics using plain English prompts via AI model clients. The server enables seamless interaction between AI interfaces like Claude Desktop and Searchcraft's administrative functions by exposing these operations as protocol-driven actions.

  6 2 MCP
• 41
  

  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
• 42
  

  MCP Filesystem Server

  Secure asynchronous file system access via the Model Context Protocol

  MCP Filesystem Server provides secure access to local files and directories through a standardized interface following the Model Context Protocol (MCP). It offers a set of tools for reading, writing, modifying, searching, and managing files and directories, with robust safeguards for path validation, symlink handling, and directory access. Designed to be used as a standalone server or integrated as a Go library, it facilitates safe and efficient programmatic file operations for AI-model-driven agents.

  552 87 MCP
• 43
  

  ws-mcp

  WebSocket bridge for MCP stdio servers.

  ws-mcp wraps Model Context Protocol (MCP) stdio servers with a WebSocket interface, enabling seamless integration with web-based clients and tools. It allows users to configure and launch multiple MCP servers via a flexible configuration file or command-line arguments. The tool is designed to be compatible with services such as wcgw, fetch, and other MCP-compliant servers, providing standardized access to system operations, HTTP requests, and more. Integration with tools like Kibitz enables broader applications in model interaction workflows.

  19 7 MCP
• 44
  

  OSV MCP Server

  SSE-based MCP server for querying the OSV vulnerability database

  OSV MCP Server implements a Model Context Protocol (MCP) server that provides secure, programmatic access to the Open Source Vulnerabilities (OSV) database. It supports real-time streaming communication using SSE or streamable HTTP and allows querying of vulnerabilities for single or multiple packages, versions, or commits. The server is designed for integration with LLM-powered applications and supports configuration through environment variables and containerized deployments via ToolHive.

  25 4 MCP
• 45
  

  ConfigCat MCP Server

  Expose ConfigCat feature flag management and SDK integration through the Model Context Protocol.

  ConfigCat MCP Server provides an MCP-compatible server that grants access to ConfigCat's public management API for feature flag and configuration management. It enables integration with popular code editors and tools, allowing developers to create, manage, and document feature flags in their projects. The server offers a comprehensive suite of tools for CRUD operations on ConfigCat entities such as products, environments, and members. Seamless SDK documentation and code examples are provided for fast implementation.

  11 1 MCP
• 46
  

  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
• 47
  

  VictoriaMetrics MCP Server

  Model Context Protocol server interface for VictoriaMetrics time-series database.

  VictoriaMetrics MCP Server provides a Model Context Protocol (MCP) compliant interface to interact with VictoriaMetrics. It enables structured data writing, Prometheus format imports, and advanced querying capabilities within the VictoriaMetrics platform. The tool supports installation via Smithery and CLI, facilitating flexible integration. It offers endpoints for writing metrics, querying time series, retrieving labels, and label values.

  7 5 MCP
• 48
  

  Grafana MCP Server

  Provide standardized MCP access to Grafana dashboards, datasources, and observability data.

  Grafana MCP Server implements the Model Context Protocol (MCP) to interface with Grafana and its ecosystem. It enables querying, modifying, and summarizing dashboards, managing datasources, and running queries against Prometheus and Loki, all with explicit context window management. Additional features include incident management and Sift investigation retrieval.

  1,850 186 MCP
• 49
  

  tfmcp

  A CLI tool for managing Terraform via the Model Context Protocol (MCP).

  tfmcp is a command-line tool that enables interaction with Terraform using the Model Context Protocol (MCP). It allows language models and AI assistants to analyze, manage, and operate Terraform environments programmatically, supporting operations such as configuration analysis, state management, and secure application of changes. The tool offers enterprise-grade security, audit logging, and flexible deployment options including Docker support. Designed for efficiency and seamless integration, tfmcp simplifies infrastructure automation workflows for both developers and AI systems.

  345 23 MCP
• 50
  

  CVE-Search MCP Server

  MCP server for querying and managing CVE-Search vulnerability data.

  CVE-Search MCP Server implements the Model Context Protocol to provide structured access to the CVE-Search API. It enables querying vendors, products, and vulnerabilities, as well as retrieving detailed information for specific CVEs. The server facilitates model context integration via MCP client tools, supporting seamless interactions for vulnerability data management.

  67 11 MCP