"A lightweight, self-hosted Git service" matching MCP servers:

MCP server for integrating self-hosted Sentry with AI assistants, enabling project and issue listing, issue details with stack traces, and event retrieval.

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.

Self Healing Infrastructure - MCP server providing AI-powered tools and automation by MEOK AI Labs

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

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

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

Enables AI apps to inspect and manage a NextDNS account in plain language — profiles, analytics, query logs, blocklists, security and parental control settings — with every change saved and reversible via undo. It runs self-hosted on your own computer or server, keeps per-profile read/write/hidden permissions, and requires double confirmation for deletions or overwrites.

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

Analyzes git repository metrics to understand team health, development patterns, code quality, and collaboration through natural language queries. Provides insights on commit statistics, bus factor, velocity trends, technical debt, and burnout detection.

Enables Git repository operations and real-time monitoring via MCP tools, with support for WebSocket events, authentication, and observability.

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 autonomous agents to detect configuration drift, corrupted execution state, and missing runtime resources, then perform root-cause classification and automated snapshot rollback for self-healing runtime recovery.

Enables autonomous agent runtime diagnostics and self-healing by detecting configuration drift, corrupted execution state, and missing runtime resources, then classifying root causes and executing snapshot rollback.

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.

An MCP server that provides cost and reliability observability for LLM and agent workflows. It records model calls and allows querying and aggregating telemetry data through MCP tools.

Enables AI agents to monitor Docker containers, system resources, ports, and logs in real-time.

Enables access to Amazon Managed Prometheus workspaces through natural language queries. Supports listing workspaces, executing PromQL queries, and retrieving workspace details and metrics with AWS authentication.

An MCP server for Prometheus-based monitoring that enables users to query system metrics, resource usage, and PostgreSQL health across multiple environments. It supports both predefined diagnostic checks and custom PromQL execution for comprehensive server monitoring and troubleshooting.