"Search Capabilities" matching MCP connectors:
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290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Read-only Amazon SES observability: search events, inspect bounces, pull delivery stats.
Report capabilities needed and not found. Requests aren't fulfilled.
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.
Discover Frontier inference capabilities and read sanitized usage through read-only tools.
heera.it via Agentimus: AI readiness, traffic, request log, search & index reports, by approval.
Search log events, investigate anomalies, and manage cases in your Knowledge Grid tenant.
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.
Production observability for AI agents: search runs, read evaluations, acknowledge incidents.
Live service status, active incidents, search, and outage history from Downtester.
Read-only access to Auralogs production logs: search logs, inspect errors, review AI analyses.