A community driven registry service for Model Context Protocol (MCP) servers.
First read
modelcontextprotocol/registry is active enough to inspect further, but the surrounding proof is thinner. Use the source repository and nearby comparisons to decide whether this is rising substance or just short-term visibility.
7.2K public stars in the current GitStar snapshot.
Needs a narrower context read
Last commit Sep 9, 2026.
Fresh activity
Treat stars as discovery context until a linked package appears.
No linked package mapping
One or more key signals are partial, so GitStar keeps the interpretation conservative.
Partial snapshot
Snapshot facts
Compare lens
wanshuiyin/Auto-claude-code-research-in-sleep and milla-jovovich/mempalace are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.
Signal trail
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Package reality
No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.
No linked package signal is expected for this project type, so the read leans more heavily on repository-level public signals.
Validation note
GitStar can summarize public signals for modelcontextprotocol/registry, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.
Why this rank
This repository stands out because it combines mcp ecosystem and fresh update.
Reconstructed from current stars and cached daily/weekly/monthly deltas.
GitStar can see repository momentum, but it does not have a reliable linked package signal yet.
Treat stars and recent movement as discovery context only until npm or PyPI usage is available.
Overlaps on topics such as mcp, which makes it a stronger alternative than a random popularity neighbor.
Overlaps on topics such as mcp, which makes it a stronger alternative than a random popularity neighbor.
Overlaps on topics such as mcp, which makes it a stronger alternative than a random popularity neighbor.
Overlaps on topics such as mcp, which makes it a stronger alternative than a random popularity neighbor.
GitStar picked Auto-claude-code-research-in-sleep + mempalace as the closest next comparison from the related repository set.
This repository is also surfaced in GitStar's MCP ecosystem view, which makes it easier to compare against other tool connectors and agent-oriented servers.
View MCP Ecosystem[](https://gitstar.space/repo/modelcontextprotocol/registry)<a href="https://gitstar.space/repo/modelcontextprotocol/registry"><img src="https://gitstar.space/api/badge/modelcontextprotocol/registry" alt="GitStar"></a>ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
The highest-scoring AI memory system ever benchmarked. And it's free.
The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
The fastest path to AI-powered full stack observability, even for lean teams.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
This page provides a quick overview of modelcontextprotocol/registry based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.
Want to show your project's ranking? Copy the badge embed code above and add it to your README.