"Information about Cursor.ai" matching MCP connectors:

Live status and health checks for AI coding providers: Claude, Cursor, Copilot, Codex and more.

Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.

Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus t

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith

Live status, API pricing and rate limits for ChatGPT, Claude, Gemini, Cursor and 42+ AI tools.

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.

Track Keito time entries and LLM costs from AI agents.

Free MCP tools: the only MCP linter, health checks, cost estimation, and trust evaluation.

Hash-chained HMAC-signed audit log MCP for A2A (agent-to-agent) calls. Every tool-call, agent-ha...

Mobile observability for AI agents. Investigate crashes, hangs, ANRs, bugs, and app performance, and triage app store reviews, directly from your IDE or terminal.

MCP-native AI SRE: ask what's broken in production, get a reviewed GitHub fix PR.

Read-only access to Auralogs production logs: search logs, inspect errors, review AI analyses.

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.

Data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality.

Query application logs, traces, and metrics from your AI coding assistant via Foam's MCP server.