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

MCP server for GitHub Copilot that allows querying any Copilot model programmatically using existing Copilot CLI credentials, with support for file attachments and model discovery.

Enables OpenAI-compatible clients to access external tools, APIs, repositories, and data sources through MCP with allowlisting, approval, and argument validation, deployable as a FastAPI service or Python library.

Enables GitHub Copilot to perform markdown review, dependency checking, and AI-powered code review through serverless Azure Functions, demonstrating educational and production MCP tool patterns.

Enables an ElevenLabs support agent to call support tools over MCP, including Discord ticket flows, post-call webhook handling, and knowledge-base syncing.

Bridges Microsoft Foundry agents and Power BI semantic models into GitHub Copilot Chat, enabling users to query and modify measures as the signed-in user via MCP.

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

Enables MCP clients such as Claude Desktop or compatible editors to run local, privacy-first job-search workflows including resume generation and STAR polishing, JD matching, GitHub project recommendations, mock interviews, and application tracking. It exposes these capabilities as callable tools through the Model Context Protocol.

Wraps the copilot CLI into MCP tools, allowing third-party MCP clients to invoke Copilot through prompt and command tools.

Enables any MCP client to run a complete data-science pipeline on a CSV: exploration, cleaning, model comparison, training, tuning, and plain-language analysis. Exposes nine tools that turn raw data into trained models and reports.

Enables MCP clients such as Kiro, VS Code, and Claude Code to send prompts and code snippets to a signed-in Microsoft Copilot session running in the user's own Edge browser and receive the replies as Markdown, with no API key or separate login required. It exposes ask, code-review, and status tools, can start fresh chats, and can save full answers as Markdown, HTML, or JSON files.

Exposes a support-ticket inbox as tools an AI client can use to list, inspect, triage, and update tickets, including LLM-based category, priority, and sentiment classification with a drafted first response informed by similar past tickets. It works with a mocked dataset styled after a home-loan partner-support inbox, with the tool interface designed so a real ticket source could be swapped in later.

Enables MCP clients to list, create, and update support tickets, classify them by category, priority, and sentiment, detect duplicates, and answer queue questions using retrieval-augmented LLM tools.

Enables ticket management and AI triage through Mistral-compatible models, with tools for creating, listing, retrieving, triaging, and updating support tickets.

Enables sending prompts over direct SignalR WebSockets, maintaining persistent conversation state across calls and restarts, and starting fresh chats through MCP tools without launching a browser.

Enables coding agents to build, test, ship, and manage Microsoft Copilot Studio agents from the editor, with YAML-based authoring, sync via Power Platform CLI, and API coverage for evaluations, chat, and flows.

MCP server for AI-powered QA analysis. It enables analyzing test failures, identifying root causes, suggesting fixes, classifying defects, detecting flaky tests, and generating test cases and bug reports.

Enables Claude to receive physical touch events from a phone via the PWA and respond with text, haptic vibrations, and expression changes, giving an AI companion embodied presence through touch.

Exposes a user-authenticated Microsoft 365 Copilot Chat browser session as a stdio MCP server, enabling AI-powered chat interactions via MCP tools like copilot_chat and copilot_status.

Customer Support AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables local coding agents to delegate reasoning, planning, review, derivation, and diagnosis tasks to ChatGPT Web through Chrome DevTools Protocol, with security guards and evidence-based verification.