"A coding assistant that references online package documentation when writing code" matching MCP connectors:
Matching Connector Tools:
Live status and health checks for AI coding providers: Claude, Cursor, Copilot, Codex and more.
Measured latency & uptime for AI inference APIs, by region. Exposes a get_ai_api_latency tool.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
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.
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.
Open-source agent that observes and fixes your application. Query logs, traces, metrics, incidents.
Connect AI assistants to AppAmbit — 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.
Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.
Read-only MCP access to a documented IT fleet: state, changes, posture. 15 tools.
Know when your n8n workflows, URLs, and AI apps break, before your customers do.
MCP-native AI SRE: ask what's broken in production, get a reviewed GitHub fix PR.
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.
Interact with a global network measurement platform.Run network commands from any point in the world
A paid remote MCP for Decapod, built to return verdicts, receipts, usage logs, and audit-ready JSON.
A paid remote MCP for Skybridge, built to return verdicts, receipts, usage logs, and audit-ready JSO
A paid remote MCP for AI SDK MCP gateway registry, built to return verdicts, receipts, usage logs, a
A paid remote MCP for AI SDK data query MCP, built to return verdicts, receipts, usage logs, and aud
Query application logs, traces, and metrics from your AI coding assistant via Foam's MCP server.