Skip to main content
Glama
61,056 servers. Last updated

Matching MCP tools:

Matching MCP Connectors:

"Basic concepts and understanding of memory" matching MCP servers:

  • A
    license
    C
    quality
    D
    maintenance
    Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
    Last updated
    40
    1
    Apache 2.0
  • F
    license
    -
    quality
    D
    maintenance
    A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.
    Last updated
  • A
    license
    -
    quality
    D
    maintenance
    Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.
    Last updated
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    MCP server for system monitoring, enabling users to ask about CPU, memory, disk, network, and processes on their system.
    Last updated
    9
    2
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    MCP server for Kibana / Elasticsearch — log search, aggregations, index discovery, and dashboard browsing. Hits Elasticsearch REST API directly for log queries; falls back to Kibana Console proxy when no direct ES URL is configured. Supports ApiKey auth (best for agents), Basic auth, and anonymous access. All 5 tools are read-only (readOnlyHint: true). Returns structured JSON (outputSchema).
    Last updated
    5
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    DBeast MCP is a robust, security-first Model Context Protocol server designed to empower AI coding assistants (like Claude Desktop) with deep PostgreSQL database insights. Instead of just running basic SQL queries, DBeast equips your AI agent with tools to inspect active locks, audit slow queries, analyze table schemas, and safely generate index recommendations in real-time. Built specifically for
    Last updated
    21
    10
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    A locally-hosted MCP (Model Context Protocol) server that gives Claude real tools to debug Docker containers — fetch logs, inspect memory/CPU, and run diagnostic commands inside a container, all from a chat with Claude Desktop.
    Last updated
    3
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    MCP server for AI agent deployment health — gateway status, CPU/memory/swap, recent errors from journalctl/dmesg, skill registry integrity, upgrade outcomes, cron + disk usage. Each component gets HEALTHY/DEGRADED/CRITICAL classification with overall rollup.
    Last updated
    8
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables read-only querying of Grafana Loki logs through tools like label discovery, LogQL queries, and recent log retrieval, without requiring knowledge of the Loki API.
    Last updated
    4
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Hardware probe MCP server that provides deep hardware inventory and live sensor telemetry for AI agents, including CPU, memory, disk, GPU, and sensor data across platforms.
    Last updated
    6
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Live .NET runtime diagnostics for AI assistants. Ask Claude to diagnose memory leaks, GC pressure, LOH fragmentation, and thread starvation in any running .NET process — no code changes required.
    Last updated
    7
    1
    MIT
  • F
    license
    A
    quality
    C
    maintenance
    A FastMCP server that provides LLMs with structured access to Scalene's CPU, GPU, and memory profiling for Python applications. It enables automated performance analysis, bottleneck identification, and optimization suggestions through natural language interactions in supported IDEs.
    Last updated
    7
    1