# modelcontextprotocol/servers > A collection of reference Model Context Protocol (MCP) servers in TypeScript and Python that demonstrate how to give LLMs controlled access to tools and data sources. They are educational examples for developers building their own MCP servers, not production-ready solutions. - Magnitude: 3.0 out of 10 — Breakout - Stars: 90,722 total · +42 stars today, ≈ 66 by evening - Star trust: star growth looks organic - Category: AI agents · Language: TypeScript · Created: 2024-11-19 · Last push: 2026-09-30 - GitHub: https://github.com/modelcontextprotocol/servers · Homepage: https://modelcontextprotocol.io · Page: https://gitnova.dev/en/r/modelcontextprotocol/servers ## Useful for - Run the Memory server via npx and wire it into Claude Desktop for persistent memory - Configure the Filesystem server with access restricted to specific directories - Study the Fetch and Git servers as a starting point for building your own MCP server ## Why it’s here - 42 stars so far today, about 66 expected by the end of the day. The usual pace is 31 per day, so that's 2.1× as much. - Over the last two days the pace is 2× that of the previous week and a half. - GitHub Trending today: #12, +48 stars. - GitHub Trending TypeScript today: #5, +48 stars. - About 13 forks a day — people are taking the code. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 11,716 - Issues and pull requests: 4,700 - Watchers: 636 - Average over the last week: 32 per day - Usual pace: 31 per day - Stars in the last hour (measured): 10 - Latest release: 2026.8.31 (2026-08-31) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-01 … 2026-09-30: 32, 28, 33, 22, 27, 28, 29, 43, 26, 31, 38, 24, 20, 39, 36, 41, 26, 29, 36, 34, 37, 21, 23, 16, 30, 20, 29, 21, 46, 42 ## Spotted in now - GitHub Trending today: #12, +48 stars - GitHub Trending TypeScript today: #5, +48 stars ## More in this category 1. **NVIDIA/OpenShell** — 8.3 · Breakout · AI agents · Rust · +684 stars today, ≈ 1,141 by evening A safe, private runtime for autonomous AI agents: isolated sandbox containers governed by declarative YAML policies restricting filesystem, network, and process access. Manages credential injection for agents like Claude, Codex, OpenCode,… Full card: https://gitnova.dev/en/r/NVIDIA/OpenShell.md 2. **feder-cr/dots** — 8.2 · Early signal · AI agents · Python · +935 stars today, ≈ 1,374 by evening Open-source web AI agent with its own patched Firefox browser that avoids detection and blocking. The model is swappable via OpenRouter, while the browser keeps a consistent identity and persistent sessions. Full card: https://gitnova.dev/en/r/feder-cr/dots.md 3. **paperclipai/paperclip** — 7.3 · Peaking · AI agents · TypeScript · +323 stars today, ≈ 662 by evening Open-source Node.js and React platform for orchestrating a team of AI agents: goals, org chart, budgets, tickets and audit. Suits teams running autonomous agents (Claude Code, Codex, Cursor, etc.) and wanting to manage them like employees. Full card: https://gitnova.dev/en/r/paperclipai/paperclip.md 4. **yetone/magpie** — 7.2 · Breakout · AI agents · Go · +403 stars today, ≈ 784 by evening A menu-bar utility for macOS/Linux/Windows that lets you pick the model for each AI agent (Codex, Claude Code, Gemini CLI, etc.) and runs a local gateway translating OpenAI and Anthropic APIs between agents and providers. Full card: https://gitnova.dev/en/r/yetone/magpie.md 5. **rehan-remade/universal-modder** — 7.1 · Early signal · AI agents · Python · +349 stars today, ≈ 486 by evening A set of skills, tools and the fal MCP for Claude Code that lets it mod almost any PC game: engine recon, reverse engineering, asset generation, in-game testing and showcase video recording. Full card: https://gitnova.dev/en/r/rehan-remade/universal-modder.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-30 14:35 UTC, updated every 30 minutes.