"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.

Wraps GitHub Copilot CLI as an MCP server, enabling MCP clients to run Copilot conversations for code tasks with support for session resumption and permission modes.

Helps support engineers find similar GitHub issues to speed up troubleshooting by searching repositories and calculating similarity scores based on issue descriptions.

Integrates GitHub Copilot CLI with MCP clients to offer various coding assistance tools including asking questions, explaining code, suggesting commands, debugging, refactoring, generating tests, and reviewing code.

An MCP server that enables users to review and refine AI outputs through a local web UI, returning feedback as free tool call results to save on GitHub Copilot premium requests. It allows for multiple rounds of iterative improvements within a single request session.

Integrates GitHub Copilot with MCP-compatible tools to provide AI-powered code assistance, including chat, code explanation, and reviews. It leverages existing GitHub CLI authentication to support multiple models like GPT-4o and Claude 3.5 Sonnet.

Enables AI assistants to work with Chapel code, including compiling, linting, and accessing educational primers.

Enables AI clients to list, inspect, triage, and update support tickets via MCP tools, with a mocked dataset designed for swapping in real ticket sources later.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

MCP server for generating negative-space print supports for 3D models (STL/OBJ/STEP) via the negative.support API.

This MCP server bridges Copilot Money with AI platforms like Claude and Cursor. It provides tools for fetching transactions, account balances, and automated data cleanup. By enabling secure, programmable access to financial records, it allows agents to perform complex tasks like transaction tagging and spending audits autonomously.

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.

Enables AI clients to safely query PostgreSQL databases using plain English, with read-only access and built-in SQL safety checks.

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

MCP server for AI-native L1 support: triages tickets, answers from a knowledge base, escalates to L2 via Telegram/GitHub, and manages feedback, with a LangGraph workflow and safety guardrails.

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

Enables GitHub Copilot to read and search multiple Google accounts, create unsent Gmail drafts, and manage Google Calendar events with explicit account selection and authenticator-backed approvals for risky writes.

Manages the state of a chess game for LLMs/agents without suggesting moves, providing tools to create/reset game, add moves, get status, and check legality.

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.

A local stdio MCP server that brings scattered tickets, transactions, and current policies together so a model can retrieve evidence, assess cases, and prepare reply and escalation drafts. All writes stay local and pending human review, with no ability to send messages, move money, change accounts, or publish content.