"Empty search query" matching MCP connectors:
GET /v1/connectors ā MCP directory API referenceMatching Connector Tools:
Read-only Amazon SES observability: search events, inspect bounces, pull delivery stats.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
Ingest and search LogsLoom logs from coding agents.
Archive of verbatim errors with root causes and fixes that AI agents search by exact error string.
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
GraphQL operation count, query discarded
Query Checkly synthetic monitoring ā checks, statuses, results, alerts, reporting and dashboards.
Analytics for MCP servers. Query your tool calls, first-call success, retries and schema cost.
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
DevOps, SRE, and QA intelligence for Cursor ā investigate bugs, assess release readiness, search logs, triage outages, diagnose failed CI, check deployments, and query connected cloud platforms. Secure remote MCP with OAuth2 and read-only QA subagents.
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: šµļø Run advanced Root-cause analysis over recent logs š¦ List and describe Pipelines š¤ Export and filter Logs with powerful query syntax
heera.it via Agentimus: AI readiness, traffic, request log, search & index reports, by approval.
Connect engineering metrics, DORA performance, and deploy risk scoring to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.
Real-time web analytics for AI agents: query traffic, funnels, revenue, and manage your sites.
Query analyzed WebRTC sessions: observations, deductions, experience scores, and AI summaries.
Connect AI assistants to AppAmbit ā the command center for your mobile & desktop apps. Query real-time analytics, sessions, and crash reports; read and push remote config; send push notifications, provision and query managed per-app SQLite databases, deploy serverless Cloud Code functions; and manage a headless CMS. Also generates SDK setup snippets and runs integration diagnostics. Supports .NET MAUI, Swift, Objective-C, Android and more. Built for indie devs, mobile teams, and agencies.
- Ionhour MCPOAuth unavailablecom.ionhour.api
Let AI agents monitor and manage your infrastructure through the Model Context Protocol. Query, create, and resolve ā all in natural language.
Search log events, investigate anomalies, and manage cases in your Knowledge Grid tenant.
Production observability for AI agents: search runs, read evaluations, acknowledge incidents.
Set up uptime monitoring from your editor: create checks, configure alerts, query uptime history.