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mcp-for-beginners — MCP server | AgentStack

MCP servers/Dev Tools/mcp-for-beginners

MCP server Indexed source

mcp-for-beginners

microsoft/mcp-for-beginners

Popularity

17K

Forks

5.5K

Quality

In review

Freshness

Synced today

What it does

Built for Dev Tools workflows.

An open-source curriculum teaching fundamentals of Model Context Protocol for building modular AI workflows across multiple programming languages.

MCP connection profile

Protocol

Model Context Protocol

Purpose

Connects dev tools capabilities to an MCP client.

Keep exploring

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Works with

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Agent compatibility

MCP client support

Protocol-compatible

MCP client support

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MCP client support

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MCP client support

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GitHub Copilot CLI

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MCP client support

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MCP client support

Protocol-compatible

This server uses MCP, and these clients support MCP. Confirm its transport, authentication, and install steps with the publisher before use.

Server setup

Connect this MCP server

Installation command not captured yet

Check the project’s source documentation for the current setup steps.

Use the configuration and transport documented by the server publisher; MCP setup differs between clients.

Best fit

mcp-for-beginners is organized in the Dev Tools category. Compare its source, install method, and compatibility before adding it to your workflow.

Before you install

Third-party agent tools may access source code, credentials, or browser sessions. Read the source documentation and use the minimum permissions needed.

Category

Listing type

MCP server

Source

GitHub source

Record health

Synced today

License

MIT

Primary language

Jupyter Notebook

Open issues

25

Know this tool?

Help keep this record useful by submitting an update or correction.

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An open-source AI agent that brings the power of Gemini directly into your terminal.

106KOpen →

mcp

@zereight/mcp-gitlab

Community listing

GitLab MCP server for projects, merge requests, issues, pipelines, wiki, releases, and more

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agentic-flow

Community listing

The agentic meta-harness — freeze the model, evolve the harness. An open runtime that routes each query to the cost-optimal model, evolves its own harness (planner/context/reviewer/retry/tool/memory/score policy) and autonomously repairs code, then orches