quickstart-resources
by
modelcontextprotocol

Description: A repository of servers and clients from the Model Context Protocol tutorials

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Summary Information

Updated 1 hour ago
Added to GitGenius on January 25th, 2026
Created on December 11th, 2024
Open Issues & Pull Requests: 5 (+1)
Number of forks: 650
Total Stargazers: 1,131 (+0)
Total Subscribers: 23 (+0)

Issue Activity (beta)

Open issues: 3
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 265 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (16)
  • enhancement (14)

Most active issues this week

No issue events were indexed in the last 7 days.

Repository Insights (GitGenius)

Median issue/PR response: 0.0 hours
Mean response time: 12.2 days
90th percentile: 0.5 hours
Tracked items: 34

Most active contributors

Detailed Description

The quickstart-resources repository serves as a practical companion to the Model Context Protocol documentation, providing reference implementations of servers and clients extracted directly from the official MCP tutorials. Written primarily in Go, the repository contains minimal but functional examples designed to help developers understand how to build both MCP servers and MCP clients from scratch. The repository includes a simple MCP weather server implementation that demonstrates server-side development patterns, alongside an LLM-powered chatbot client that shows how to construct client applications within the MCP ecosystem.

The repository explicitly prioritizes educational clarity over production readiness. The README includes a security note acknowledging that the examples are intentionally minimal and should not be deployed in network-exposed scenarios without substantial hardening. The documentation directs developers to add authentication, CORS allowlists, request size limits, timeouts, rate limits, and log redaction before exposing any MCP server over HTTP, SSE, or WebSocket protocols. This transparency about the examples' limitations helps prevent misuse while setting appropriate expectations for developers using these resources as learning materials.

Activity data reveals that the repository maintains active engagement with its user base. Across 34 tracked issues and pull requests, the median response latency is 0.0 hours, indicating rapid triage and attention to incoming requests. The mean response time of 292.6 hours reflects occasional longer-running discussions or implementation work, but the median suggests most issues receive immediate acknowledgment. Bug reports and enhancement requests dominate the issue tracker, with 16 bug-related issues and 14 enhancement requests tracked as the most active label categories. This distribution indicates that users actively report problems and suggest improvements to the example implementations.

The contributor ecosystem shows concentrated activity around a-akimov, who has driven 33 tracked events within the repository, establishing themselves as the primary maintainer. Secondary contributors jonathanhefner and jspahrsummers each contributed 5 tracked events, providing additional maintenance capacity. The repository's classification within the Model Context, Protocol, Quickstart, Resources, AI Models, Development, Examples, Tutorials, Guidance, and Onboarding categories reflects its dual nature as both educational material and reference implementation.

Cross-repository analysis reveals that this quickstart repository connects to a broader ecosystem of MCP-related projects. GitGenius identifies overlapping contributors with chopratejas/headroom, headroomlabs-ai/headroom, and roocodeinc/roo-code, suggesting that developers working on MCP implementations frequently engage with multiple related projects. This interconnection indicates that quickstart-resources functions as part of a larger development community exploring Model Context Protocol applications.

The repository's focused scope—providing only the specific server and client examples from the official tutorials—makes it a targeted resource for developers following the MCP documentation. Rather than attempting comprehensive coverage of all possible MCP patterns, it delivers exactly what the tutorials reference, allowing developers to download working code alongside their reading. This tight coupling with the official documentation positions quickstart-resources as an essential complement to the MCP learning pathway.

quickstart-resources
by
modelcontextprotocolmodelcontextprotocol/quickstart-resources

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