"Information about Teams or collaboration platforms" matching MCP servers:

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Session replay and click heatmaps for AI agents. Read a site’s visits as timed narratives, find repeated or dead clicks and the JavaScript errors behind them, and measure the impact of shipped changes.

Model Context Protocol server for monitoring Operational Status of major digital platforms in Claude Desktop.

Get information about the current operating environment

The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.

A Model Context Protocol server that provides AI agents with controlled read access to Datalust Seq instances for log analysis and monitoring. It enables agents to search events, execute data queries, and retrieve information about signals, dashboards, and alerts.

Provides Claude with access to Shodan for IP address lookups, service discovery, and vulnerability scanning, allowing users to query information about hosts, count results, and check API usage.

Enables AI agents to read incidents, alerts, on-call schedules, teams, severities and API user info, and — on explicit request — declare, update and resolve incidents, manage alerts, and create or update teams through the Rootly REST API. It is stateless and multi-tenant, taking the API token as a per-request HTTP header that is never stored.

Provides read-only access to query and retrieve information about devices, fleets, events, and configurations managed by Flight Control through a safe integration layer supporting filtering and selector-based queries.

Enables AI to automatically diagnose bugs by querying logs, tracing call chains, and analyzing code across multiple log platforms like Elasticsearch and Loki.

Full read/write MCP server for Bugsink, letting users view and manage teams, projects, issues, events, and releases, including resolving, muting, reopening, commenting on, and deleting issues.

Enables integration with Datadog APIs to monitor and retrieve information about monitors, metrics, dashboards, logs, events, and incidents through the Model Context Protocol.

Enables AI assistants to query and fetch error and performance monitoring data from AppSignal through the Model Context Protocol. Supports searching and retrieving detailed information about application errors and performance samples with flexible filtering options.

Enables MCP clients like Claude Code or Codex to administer a Bifrost LLM gateway's governance API, including virtual keys, teams, customers, budgets, provider configs, routing rules, model/pricing config, request-log observability, and core gateway config.

Enables comprehensive system monitoring and diagnostics through 18 tools that provide detailed information about CPU, memory, disk usage, network interfaces, running processes, battery status, hardware details, and temperature monitoring. Allows users to query system information and performance metrics through natural language interactions.

Enables FinOps teams to investigate cloud-spend anomalies, draft and approve savings actions, and simulate execution safely without affecting real cloud accounts.

An MCP server that connects to Sentry.io or self-hosted Sentry instances to retrieve and analyze error reports, stack traces, and debugging information.

MCP server for Grubhub Data Platform operations, providing 40+ tools across 18 service categories for data platform management, observability, analytics, and collaboration.

Provides cryptographically signed, tamper-evident compute usage receipts via a Model Context Protocol server, exposing tools to record usage, verify receipts, list the ledger, and verify ledger integrity without requiring any account, API key, or single cloud provider.

Enables classification of GPU workloads as training, inference, or idle from telemetry data, with tools for one-shot classification, benchmarking, and audit log verification.