"Trending MCP server for memory usage with GitHub Copilot integration" matching MCP servers:

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.

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

MCP server exposing GitHub tools for issues, pull requests, and code browsing via the GitHub REST API. Designed for local LLM clients with flat arguments and streamable HTTP support.

Self-hosted GitHub MCP server for PR, repo file, and Dependabot operations, supporting multiple MCP clients with personal access token auth.

MCP server for the GitHub REST API: issues, PRs, repos; read always on, write env-gated.

Connects MCP-enabled editors to GitHub Copilot CLI for non-interactive code analysis, batch processing, and code review.

Local, searchable project memory for AI coding agents. Markdown source of truth, MCP interface, safe structured updates

A stateless MCP server that gives coding agents a curated entry point to shared memory, orchestrating Hindsight (facts) and LightRAG (corpora) for automatic routing, URL ingestion, and consistency tooling.

A portable, self-hosted semantic memory layer for LLM agents, enabling them to search and add memories by meaning over the Model Context Protocol.

Enables Microsoft Copilot Studio to manage Snipe-IT assets, inventory, users, licenses, reporting, and administration through 29 semantic tools, including read/write lifecycle operations and guarded deletion.

Provides persistent memory with semantic search for MCP-based AI agents, enabling them to store and recall information across sessions using vector embeddings.

Enables LLM clients to list, read, review, and comment on GitHub pull requests, turning an AI assistant into a fully capable code reviewer.

A secure MCP server for interacting with GitHub issues, pull requests, repository files, and search, supporting both github.com and GitHub Enterprise Server.

A minimal MCP server for GitHub that enables browsing repos, reading code, searching, and getting insights through natural language via Claude, Cursor, or any MCP client.

Provides GitHub API tools (repo info, open PRs, latest release) via FastMCP, easily run with uvx.

A vendor-agnostic cognitive persistence layer for AI agents. Eliminate the "repetition tax" by transporting your context, preferences, and history across sessions. Features an auto-adaptation engine that syncs global instructions to ensure operational cohesion and optimize token usage across any LLM or multi-agent workflow.

An MCP server that gives AI models a persistent notebook backed by a folder of Markdown files, with tools to discover, read, write, edit, and delete notes.

Serves UltraRAG memory to agents over stdio MCP, providing project-local and per-user global memory. It lets agents read and append standing memory and daily dialogue rounds in UltraRAG's format, with an optional browser view.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

A minimal MCP server that exposes a focused set of GitHub PR review tools to AI agents, enabling PR listing, detail retrieval, comment viewing, and thread management.