"Information about community managers or community management" 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.
Analytics for MCP servers. Find out which of your tools agents get wrong. MCPulse shows you which tools AI agents retry, which come back empty, and which they never call at all. Two lines inside your own server. It never sees your arguments or your results. getmcpulse.com
Per-agent spend management: x402/MPP/API-key rails, budget caps, anomaly alerts, audit trails.
Free-trial AI fleet spend meter. Quote agent fleet spend from token usage. 100 calls or 14 days. No auth. Official MCP Registry: io.github.mtardy90-sudo/bootlace-ai-spendmap.
A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve 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.
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.
- Session Replay MCPOAuth unavailablecom.session-replay
MCP for retrieving information about recorded session replays.
- 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.
The Buildkite MCP server exposes Buildkite product data (pipelines, builds, jobs, and test data) to AI tools, editors, and agents through the Model Context Protocol. It provides capabilities including pipeline creation and management, build monitoring with specialized tools like 'wait_for_build', efficient log querying using Apache Parquet conversion and caching, and OAuth-based authentication for both read-write and read-only access to Buildkite's REST API.
LLM Observability & Orchestration Agent (LangChain Community)
- sentinelOAuthio.rootstuff
Uptime, SSL, DNS and domain monitoring you can talk to from Claude or any MCP client.
The official MCP server for Lizard (lizard.build). Ship a service, add Managed Postgres, Managed Redis or Managed Object Storage, read logs and metrics, set secrets, scale replicas and attach domains — in plain words. 33 tools over Streamable HTTP, OAuth 2.1; destructive tools require an explicit confirmation argument.
Log, evaluate, and ground AI decisions against authority context. Returns PASS, WARN, or BLOCK.
- mttrlyOAuthcom.mttrly
AI-powered incident management and server monitoring via MCP.
