"Information on memory banks or task managers" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Is GitHub, npm, Cloudflare or your AI provider down right now? 20 status pages, one call.
Observatory operated and funded by devlo: real tools on frozen tasks; intervals, cost, limits.
Cookieless web analytics your coding agent reads: traffic answers, deploy impact, what broke. One connection covers every site on the account.
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
AI/LLM agent output audit MCP: policy eval, tamper-evident chain, AI safety, x402 USDC on Base.
Manage cron/heartbeat checks, read pings and flips, pause/resume/delete on Healthchecks.io.
Read Spike.sh incidents, on-call, escalations and services; acknowledge, resolve, set priority.
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.
Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
- Session Replay MCPOAuth unavailablecom.session-replay
MCP for retrieving information about recorded session replays.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
- SpikeOAuthsh.spike.mcp
Official Spike MCP server for incident management, alerting, and on-call.
- LuciqOAuthai.luciq.api
Mobile observability for AI agents. Investigate crashes, hangs, ANRs, bugs, and app performance, and triage app store reviews, directly from your IDE or terminal.
The Polar Signals MCP server enables AI assistants to connect directly with performance profiling data, allowing users to analyze application performance through natural language queries. Key capabilities include querying CPU performance and memory usage, exploring profiling metadata like profile types and labels, and providing AI-driven code optimization suggestions directly within development environments like Claude Code or Cursor.
