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MCP server · AI

MCP

by · github.com/skillrepos/mcp

Repo for Model Context Protocol training workshop

Unclaimed MIT ai
InstallView source
39Low

Scored 5 days ago · breakdown

About MCP

MCP is an MCP server published by skillrepos in the AI category: repo for Model Context Protocol training workshop.

The repository has 15 stars and 63 forks, with the last commit a month ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/skillrepos/mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 3 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.

1 check has not been run yet.

README

Understanding MCP

Repository for Understanding MCP (Model Context Protocol) - A hands-on guide

These instructions will guide you through configuring a GitHub Codespaces environment that you can use to run the code.

Prefer to run the labs on your own machine instead? See LOCAL_SETUP.md for the full list of prerequisites and setup steps. The Codespace is the environment the labs are verified against, so a few things will look different locally.

Updated for MCP specification revision 2026-07-28. This is a breaking protocol change: the initialize handshake and Mcp-Session-Id are gone, servers can no longer push requests to clients, and Roots, Sampling and Logging are deprecated. See the "Parts of 2026-07-28 we did not lab" appendix at the end of labs.md, and MCP-2026-07-28-UPDATE-REPORT.md for the full rundown.

The labs run on FastMCP 4, pinned exactly in requirements.txt (currently 4.0.3, the stable release line - FastMCP 4.0 went stable on 2026-08-31). FastMCP 3.4.x hard-pins mcp<2.0 and cannot speak this protocol revision.

1. Set a longer timeout for the environment we'll be using - GitHub Codespaces.

When logged into GitHub, go to https://github.com/settings/codespaces.

Scroll down and find the Default idle timeout section and set it to at least 60 minutes.

Extending timeout

2. Click on the button below to start a new codespace from this repository.

Click here ➡️ Open in GitHub Codespaces

3. Then click on the option to create a new codespace.

Creating new codespace from button

This will run for a few minutes while it gets the virtual environment ready. When the main portion is done, it will still need to do some post-processing. That will look like this:

Post-processing

It will be done when you see output similar to this in the terminal.

Ready

4. Run the warmup script in the TERMINAL to make the LLM interactions faster.

python scripts/warmup.py &

warmup

5. Open the labs file.

You can open the labs.md file either in your codespace or in a separate browswer tab/instance.**

Labs

README fetched from the repository 3 days ago. The original is authoritative.

Questions

About MCP

How do I install MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is MCP safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 3 of the 5 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is MCP still maintained?

Yes — the last commit was a month ago. The repository has 15 stars and 63 forks.