"Deploying an MCP service in an offline environment" matching MCP servers:

Exposes the shared health-check service as an MCP tool, letting clients query status, uptime, and version through the streamable HTTP endpoint.

Provides tools to communicate with a service dependency API, enabling users to query and interact with service relationship data and dependency mappings.

Independent MCP service module for Poco, providing analytics and management tools such as daily usage analysis and service introspection.

Enables business services to push error logs and generate diagnostic reports using MCP tools for log searching, code querying, and report generation.

Enables AI agents to manage a Canonical Landscape estate, including inventory, alerts, patching, and script execution, with built-in safety layers to prevent accidental destructive actions.

A professional-grade MCP server that enables AI assistants to monitor web services, APIs, and HTTP endpoints with enterprise-level security.

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Read-only MCP server for Hevo Data API, enabling monitoring of pipelines, objects, destinations, models, and workflows with secure self-hosted credentials.

MCP server that wraps Nightjar's analytics API, enabling Claude Code to query events, funnels, dashboards, and metrics through natural language.

Enables remote management and monitoring of the Rickbot-3000 robotic system through AI assistants. Provides real-time status monitoring, command execution, system diagnostics, and deployment management capabilities.

Enables interaction with Gremlin's reliability management APIs to monitor service dependencies, run reliability experiments, generate reliability reports, and manage chaos engineering tests through natural language queries.

Lets an agent install, control, and repair dsh web as a Windows service so it auto-starts at boot, runs without a console window, and survives sign-out — covering service status, install/uninstall, start/stop/restart, and a side-effect-free install preview. It also tails service logs and translates them into plain-language diagnoses with fixes for failures like port conflicts, incompatible profile plugins, and plugin trees that fail to load.

Enables AI assistants to query and analyze AI agent sessions from observability providers like Shepherd (AIOBS) and Langfuse, allowing users to debug agent runs, compare sessions, track performance, and analyze LLM usage patterns.

Enables large language models to directly access Tencent Cloud Log Service for log search, metric queries, and alarm management without code.

Self-hosted Nightingale (n9e) includes a native Streamable HTTP MCP server at /mcp for querying alerts, rules, metrics, logs, hosts and dashboards with the caller's existing permissions. Users deploy the Nightingale server themselves; the implementation and deployment documentation are in the main repository, and the official website is https://n9e.io.

Enables state-aware Terraform/OpenTofu plan evaluation against live AWS topology and CloudWatch telemetry, detecting reliability blast radius and FinOps waste before merge.

An MCP server for the ProveTrade trade-audit stack that lets models validate CSVs, run paid audit runs, and check service health/deploy status via typed tools.

An MCP server that tracks Ethereum’s validator activation and exit queues in real time, enabling AI agents to monitor staking dynamics and network participation trends.

An MCP server that enables LLMs to interact with IT Glue documentation, including organizations, configurations, passwords, and flexible assets. It provides tools for listing, creating, and updating managed service provider (MSP) data through the IT Glue API.

An MCP server for the Uptrace observability platform that enables querying traces, spans, logs, and metrics through natural language. It provides tools for error analysis, service discovery, and trace visualization within MCP-compatible clients.

Enables reading and analyzing Cloudflare Workers logpush data stored in R2 buckets. Supports searching logs with filters, viewing statistics, accessing errors, and browsing logs by date and environment.

An MCP server that lets an AI agent work with an ActiveMQ Artemis broker.

Inventory local Codex plugins and Skills, inspect recorded usage, and identify potential redundancy to support user-directed cleanup. Includes a local MCP service, dashboard, and companion Skills; requires Windows and a local Codex environment.

Enables AI agents to check whether Elastic Security detection rules will actually work in an environment by verifying data source, data freshness, field mappings, and alert volume, then filing enable requests. Requests take effect only after a human reviews and approves them, with read-only credentials, tamper checks, and an audit log.

An environment diagnostic and correction tool for MCP that provides detailed system insights, runtime checks, and actionable suggestions to fix common issues.

Enables AI assistants and MCP clients to analyze offline Oracle AWR/ASH reports in HTML or text across Oracle 10g–23ai, including single-instance and RAC global reports, returning report type, version, active sessions, load profile, top waits and SQL with version-aware tuning advice plus a prioritized top-3 summary, all locally without an Oracle client or database connection.

Enables read-only inspection of local Windows and Linux systems for host, resource, network, service, software, identity, startup, certificate, SSH key metadata, and environment-variable name evidence through MCP tools. It normalizes platform outputs into stable schemas while avoiding arbitrary shell execution, credential reads, secret values, or remediation.

A read-only MCP server that lets an AI assistant inspect a single AWS lab instance's EC2 health, recent system/nginx errors from CloudWatch, and nginx service status via SSM, with strict allowlisting and no generic shell access.

Enables Claude to query Amazon DSP operations data such as scorecards, DNR investigations, DCR/POD metrics, and driver quality, with offline demo tools and secure access to real tenant data via an API key.

MCP-native health monitoring that probes MCP servers using the list_tools protocol handshake, detects version drift, stores history in SQLite, and generates an HTML dashboard.