"Trending MCP server for memory usage with GitHub Copilot integration" 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.

MCP server for querying OpenAI usage and cost data, including spend summaries, daily breakdowns, month-over-month comparisons, and token usage by model.

Enables retrieving real Claude subscription usage statistics, including the 5-hour session window, weekly limit, and per-model limits, from the same endpoint Claude Code uses.

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.

A local-first, multi-provider cost meter for LLM usage, exposed as MCP tools. Captures every call into a local SQLite ledger and lets any coding agent query spend, compare providers, and get recommendations — no cloud, no account. First-class support for Chinese providers (Qwen, DeepSeek) alongside Anthropic and OpenAI.

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.

Enables local-first tracking of AI token usage and costs from Claude Code and OpenCode, answering queries about tokens, models, sessions, and cost through MCP tools and a CLI, with no network calls.

MCP server that reads local OpenClaw session files to provide token usage and cost data without any network calls or authentication.

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.

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.