Skip to main content
Glama
72,424 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"How to Send Messages on Microsoft Teams" matching MCP servers:

  • A
    license
    A
    quality
    A
    maintenance
    Enables AI agents to interact with Freeplay, an ops platform for AI engineering teams, to analyze production logs, identify quality issues, iterate on prompts and agents using real data, and run experiments before deploying.
    9
    2
    Apache 2.0
  • A
    license
    -
    quality
    B
    maintenance
    MCP server for managing Microsoft Intune and Entra ID via the Microsoft Graph API, offering 34 tools for device, app, compliance, security, identity, and reporting operations.
    1
    MIT
  • F
    license
    -
    quality
    C
    maintenance
    Read-only MCP server providing Microsoft 365 service health status and known incident/outage information from Microsoft Graph. Enables quick answers to whether an issue is a widespread Microsoft outage or specific to a tenant.
  • F
    license
    -
    quality
    B
    maintenance
    MCP server that exposes WebSocket session management as tools, allowing AI agents to open persistent connections, send typed frames, drain buffered messages, and monitor per-frame Shannon entropy to detect schema divergence.
  • A
    license
    -
    quality
    A
    maintenance
    MCP server exposing rlg (RustLogs) log files as tools for on-call / SRE agent workflows. Three tools over JSON-RPC stdio — tail_log (last N events, filtered by level/target), filter_log (predicate filtering), summarize_errors (grouped error taxonomy). Pure Rust. MIT OR Apache-2.0.
    3
    4
    Apache 2.0
  • A
    license
    A
    quality
    A
    maintenance
    Minimal MCP server that integrates with Graylog, enabling agents to search, analyze, and inspect log messages across streams, discover fields and streams, and query multiple Graylog instances.
    5
    56
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Exposes live industrial IoT telemetry to any MCP client, streaming simulated sensor data from a fleet of machines and detecting anomalies, with the ability to inject faults on demand.
    4
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    A Linux system monitoring MCP server that provides real-time information on CPU, memory, disk, network, processes, Docker, security, and more via MCP tools.
    28
    65
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    An MCP server that provides offline searchable Microsoft 365 roadmap data and live Azure status, enabling AI agents to answer questions about upcoming features, roadmap changes, and Azure incidents.
    4
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    An on-call agent for data incidents, built on a bio-inspired context protocol. It triages data quality and freshness issues using DataHub, computing severity, blast radius, and ownership from the catalogue before generating prose.
    9
    Apache 2.0
  • A
    license
    A
    quality
    B
    maintenance
    An MCP server that provides monitoring tools for Codex agents, allowing them to create and wait on conditions using commands, log files, file events, and custom probes, replacing polling loops with event-driven blocking.
    5
    264
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    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.
    3
    4
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Identifies resource-intensive processes on macOS across CPU, memory, and network usage, with tools for detailed process filtering and system overview.
    3
    23
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Provides AI agents with real-time ground truth about what's actually running on the machine, including live agent sessions, listening TCP ports, loaded daemons, and system stats. It reads directly from the OS via fixed commands, ensuring agents never rely on stale docs or transcripts.
    5
    167
    MIT