"MCP servers for IntelliJ GitHub Copilot integration with Hibernate HQL support" matching MCP servers:

An MCP server that retrieves current GitHub Copilot usage data, including quotas, limits, and usage statistics. It allows AI agents to monitor premium interaction status and detailed account usage via raw or formatted summaries.

MCP server to check GitHub Copilot quota, rate-limit status, and reset times from any MCP client.

Enables Microsoft Copilot Desktop and Microsoft 365 Copilot Studio to post/read Slack messages, query GitHub repository status, and monitor live pod health and fleet runtime briefs.

Provides persistent memory for MCP-compatible agents (like Copilot CLI) to save and recall knowledge across sessions, plus long-running monitoring tools.

An MCP server that retrieves GitHub Copilot usage metrics and seat assignment data across Enterprise, Organization, and Team levels. It allows users to monitor code completions, chat activity, and active user counts through integrated tools.

Exposes GitHub Copilot premium request usage as an MCP tool, providing a breakdown by model and cost.

A read-only MCP server exposing SLURM, GPFS, Prometheus (node exporter + DCGM GPU metrics) and generic Elasticsearch exploration as diagnostic tools for LLM-based HPC support assistants.

Ask a Modbus device questions by tag name instead of register number. Provides read-only tools to list devices, search tags, and read values with provenance.

MCP server for Kubernetes FinOps that finds over-provisioned workloads, proposes right-sizing, and enforces safety guardrails with dry-run by default and audit logging.

Enables agents to diagnose failing API calls from request logs and customer tickets, identifying root causes with cited request IDs and returning escalation and paging flags. It also exposes runbook lookups and a cause catalog, with secrets redacted in all output.

Enables language models to safely explore lakehouse tables and governed metrics, run guarded read-only SQL, and inspect pipeline health and data-contract violations through MCP tools.

Enables read-only monitoring, failed-message analysis, health summarization, and AI-assisted troubleshooting against SAP Cloud Integration tenants through MCP-compatible clients.

A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.

MCP server that provides guarded, audited, read-only access to ops tooling (alerts, metrics, logs, deploys, runbooks) and a triage agent that diagnoses incidents end-to-end with CI-verified root cause analysis.

Enables AI assistants to detect and investigate e-commerce payment-fulfillment discrepancies, create durable escalation tickets, and track resolution status.

Enables users to measure, track, and compare response times of GitHub Copilot and other AI models. Provides statistical analysis and performance comparison tools for evaluating AI model efficiency.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

An unofficial MCP server that connects AI assistants to Akamai APIs, providing tools for edge diagnostics, debugging, and network analysis.

A minimal MCP server that exposes health-check and server information tools over stdio or HTTP, and can be containerized and deployed to IBM Code Engine.

Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.