"Understanding Code Execution" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Pre-execution governance for AI agents. Deterministic PASS/FAIL/REVIEW verdicts, replayable proof.
MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.
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.
- AivenOAuthlive.aiven.mcp
PostgreSQL and Apache Kafka MCP server. Provision, query, and monitor managed cloud data services from AI assistants like Claude, Cursor, and VS Code.
Ships with 42 pre-built text processing agents (sentiment analysis, keyword extraction, SEO metadata, code explanation, grammar checking, and more) totaling 259 endpoints. All code runs sandboxed in isolated child processes. Supports Streamable HTTP and stdio transports. Includes rate limiting, caching, analytics with p50/p95/p99 latency tracking, and a web dashboard.
API and website monitoring that validates the JSON a response returns, not just its status code. Create endpoint checks, pull incident reports carrying the actual failed payload, and read health scores from your editor.
API monitoring from your editor. Checks the JSON your endpoints return, not just the status code.
Uptime monitoring with 127 tools across 23 protocols. Tag filtering + Code Mode.
