"Understanding Context Memory in Chat Systems" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Read your team's hosted journal from an AI agent: every machine's streams, in hub order.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
MCP-native AI SRE. Exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools include list_problems, get_problem, query_traces, detect_anomalies, and request_problem_remediation. Human-in-the-loop by default — the merge button stays yours.
Free anonymous website, DNS, email and TLS checks, plus monitor read and opt-in write access.
Know when cron jobs and AI agents stop running: create monitors and check in from your agent.
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.
MCP-native AI SRE: ask what's broken in production, get a reviewed GitHub fix PR.
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
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.
The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.
Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: 🕵️ Run advanced Root-cause analysis over recent logs 📦 List and describe Pipelines 📤 Export and filter Logs with powerful query syntax
- aictrlOAuthdev.aictrl
Governance and grounding layer for engineering teams running AI coding agents (Claude Code, Cursor, Codex). Grounds agents in your codebase's knowledge graph, and adds session audit, policy controls and cost/token visibility.
Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.
Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus t
- gtmetrixOAuthcom.gtmetrix
Analyze web performance and get optimization insights from GTmetrix, directly in your AI workflow.
MonoDuty MCP connects compatible assistants to uptime monitoring, job heartbeats and webhook alerts in an on-call workspace. Inspect monitoring coverage, prepare proposals, and create or manage supported resources with separate permissions. Hosted Streamable HTTP endpoint with OAuth. Requires an active verified MonoDuty account, workspace admin access and an API-eligible plan. Docs: https://monoduty.com/docs/mcp
Monitor services, manage incidents and status pages in Statuser.cloud from your AI assistant.
- Ionhour MCPOAuth unavailablecom.ionhour.api
Let AI agents monitor and manage your infrastructure through the Model Context Protocol. Query, create, and resolve — all in natural language.
Brazilian hosting operated end to end by the coding agent: create an app, provision PostgreSQL, Redis and object storage, deploy from GitHub Actions, read container logs, measure memory and CPU, and see the cost in BRL before spending it. Irreversible operations require a human approval code that the agent never sees. Prepaid credit, paid by Pix.
