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Popular MCP Servers

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    Enterprise AI governance layer for spend tracking, runtime guardrails, policy enforcement, and budget limits. Connects Claude, ChatGPT, and any MCP client to ThinkNEO's control plane for SOC2/GDPR/HIPAA compliance monitoring and real-time provider health.
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    Data freshness verification for AI agents. Probes endpoints for HTTP cache staleness, latency percentiles, content fingerprinting, TLS certificate health, DNS timing, and redirect chains. Returns deterministic FRESH/STALE/UNKNOWN JSON verdicts with policy evaluation and NIST AI RMF mapping.
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    An MCP server that exposes GPU-accelerated anomaly detection to AI assistants via the Model Context Protocol. Provides two MCP tools: waveguard_scan (send training + test data in one call, returns per-sample anomaly scores and top explanatory features) and waveguard_health (check API and GPU status). Works on time series, JSON, numbers, text, and images — fully stateless.
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    Server security auditing (413 checks, 29 categories), production hardening, and fleet management. Supports Hetzner, DigitalOcean, Vultr, and Linode.
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    Apache 2.0
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    Security intelligence API for AI models. CVE lookup with EPSS/KEV, domain recon (DNS, WHOIS, SSL, subdomains, WAF), and code security checks (secrets, injection, headers). 16 tools, no API key required.
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    Enables language models to access LangSmith observability platform features including fetching conversation history, managing prompts, retrieving traces and runs, working with datasets and examples, and analyzing experiments.
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    An MCP server that enables AI assistants to interact with Apache Airflow's REST API for DAG management, task monitoring, and system diagnostics. It provides comprehensive tools for triggering workflows, retrieving logs, and inspecting system health across Airflow 2.x and 3.x versions.
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    Apache 2.0
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    A Model Context Protocol (MCP) server for interacting with Joe Sandbox Cloud. This server exposes rich analysis and IOC extraction capabilities from Joe Sandbox and integrates cleanly into any MCP-compatible application (e.g. Claude Desktop, Glama, or custom LLM agents).
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    A Model Context Protocol server enabling AI assistants to interact with Kong Konnect's API Gateway, providing tools to query analytics data, inspect configurations, and manage control planes through natural language.
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    A Model Context Protocol (MCP) server for interacting with Atlassian Jira. Connect AI assistants like Claude, Cursor AI, and others directly to your Jira projects, issues, and workflows.
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    Query Google Search Console search analytics, inspect URL indexing status, manage sitemaps, and analyze keyword performance. 13 tools covering search queries, page performance, sitemap management, and index coverage.
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    Enables AI assistants to access Scout Monitoring performance and error data through Scout's API. Provides traces, errors, metrics, and insights for Rails, Django, FastAPI, Laravel and other applications to help identify and fix performance issues like N+1 queries, slow endpoints, and memory bloat.
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    MCP server that reads Duplicacy backup metrics from a Prometheus exporter and exposes them to LLMs for monitoring backup status, progress, and health.
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    Enables AI assistants to interact with Rollbar error tracking and monitoring service, allowing them to diagnose issues, view item details, list deployments, retrieve session replays, and update item properties through natural language commands.
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    CP server for RAD Security, providing AI-powered security insights for Kubernetes and cloud environments. This server provides tools for querying the Rad Security API and retrieving security findings, reports, runtime data and many more.
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    24/7 autonomous monitoring and edge detection for prediction markets (Kalshi & Polymarket). Features causal tree analysis, orderbook depth tracking, cross-venue comparison, and real-time alerts.
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    Enables AI assistants to inspect, query, and diagnose problems within Octopus Deploy instances. Provides read-only access to deployments, releases, projects, environments, and other DevOps resources to transform AI into your ultimate DevOps wingmate.
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    A robust Model Control Protocol server that enables AI agents to access real-time cyber threat intelligence and detailed information about vulnerabilities, threat actors, malware, and other cyber-security entities.
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    Apache 2.0
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    It's a safety middleware that can detect and intercept self-harm and criminal intent at 3 stages. It allows developers of chat-based platforms to configure webhook notifications and store encrypted information for prior mitigation of any such cases.
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    Apache 2.0
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    Enables interaction with Foreman instances to manage systems through the Model Context Protocol. It provides access to Foreman resources and tools, such as security update reports, directly within AI-powered environments like VSCode and Claude Desktop.
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    • Linux
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    A security scanner that evaluates installed MCP servers for vulnerabilities by aggregating findings from 16 scanning engines into detailed trust scores. It enables users to scan their local AI agent configurations or specific repository URLs for potential security risks.
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    Enables interaction with the ChartMogul API to manage subscription data, customer relationships, and sales CRM activities. It allows users to retrieve key business metrics like MRR and churn while performing data operations on plans, invoices, and contacts.
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    • Apple
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    A server implementation that enables management of Alibaba Cloud ECS (Elastic Compute Service) resources through a collection of API and OOS automation tools, supporting operations like instance lifecycle management, monitoring, and resource inspection.
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    A server that provides access to Alibaba Cloud resources including ECS, VPC, and CloudMonitor through API and OOS implementations, enabling resource management and monitoring via a unified interface.
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    Apache 2.0
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    MCP server implementation that enables LLMs to interact with Rollbar error tracking data, allowing users to list and analyze errors, view occurrences, track deployments, and access project information.
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    Agentic tool that looks for statistical variations in conversation structure and logs unusual events to a SQLite database. Built using the Model Context Protocol (MCP), this system is designed to be used with Claude Desktop or other MCP-compatible clients.
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    Enables interaction with the Stape platform through the Model Context Protocol. Provides access to Stape's server-side tagging and data management capabilities with support for both US and EU endpoints.
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    Apache 2.0
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    AI-powered VMware vCenter/ESXi monitoring and operations. 20 MCP tools for inventory queries, health monitoring, VM lifecycle management, fast provisioning (Linked Clone, OVA, template deploy), snapshot management, and datastore browsing. Supports vSphere 6.5–8.0. Works with local models via Ollama/LM Studio.
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    An MCP server for the Wazuh SIEM/XDR platform that enables users to query agents, security alerts, detection rules, and decoders through Claude or other MCP clients. It provides specialized tools and prompts for investigating security alerts, performing agent health checks, and generating environmental security overviews.
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    Enables inspection and management of Apache Airflow DAGs, runs, and logs across multiple instances. It provides tools for monitoring workflows and performing gated write operations like triggering DAGs or clearing task instances.
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    Enables AI agents to query trust scores for MCP servers and agent skills while scanning content for potential security issues. It provides direct access to the Vigile trust registry to help users evaluate the safety of third-party tools and integrations.
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    AI development observability platform. It silently captures structured data from vibe coding sessions via MCP and codifies deviation patterns into project rules to make AI write better code. 100% local and zero runtime dependencies.
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    Enables interaction with Foreman infrastructure management platform through MCP tools, prompts, and resources. Supports querying host information, security updates, and accessing Foreman data via natural language.
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    Enables LLMs to analyze network packet captures (PCAP files) from local or remote sources through a modular architecture. Supports DNS traffic analysis with structured JSON responses for network security and troubleshooting tasks.
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    eBPF-based GPU causal observability agent with MCP server. Traces CUDA Runtime and Driver APIs via kernel uprobes and host events via tracepoints to build causal chains explaining GPU latency. 7 tools: get_check, get_trace_stats, get_causal_chains, get_stacks, run_demo, get_test_report, run_sql. Telegraphic compression reduces token usage ~60%. Supports stdio and HTTPS (TLS 1.3) transport.
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    Apache 2.0
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    Read-only VMware vCenter/ESXi monitoring. 8 MCP tools for VM inventory, host status, datastore capacity, cluster info, alarms, events, and VM details. Code-level enforced safety — no destructive operations exist in the codebase. Supports vSphere 6.5–8.0. Works with local models via Ollama/LM Studio.
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