https://github.com/pilarcode/mcp_lab
👩💻 Learning about Mcp (model context protocol)
https://github.com/pilarcode/mcp_lab
fastapi fastmcp lab mcp mcp-client mcp-server prompts resources tools
Last synced: 24 days ago
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👩💻 Learning about Mcp (model context protocol)
- Host: GitHub
- URL: https://github.com/pilarcode/mcp_lab
- Owner: pilarcode
- Created: 2025-07-23T08:18:18.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-08-03T10:11:39.000Z (10 months ago)
- Last Synced: 2025-08-03T11:29:38.672Z (10 months ago)
- Topics: fastapi, fastmcp, lab, mcp, mcp-client, mcp-server, prompts, resources, tools
- Language: Python
- Homepage:
- Size: 9.77 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# MCP (Model Context Protocol) Lab
MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems.
Using MCP, AI applications like Claude or ChatGPT can connect to data sources (e.g. local files, databases), tools (e.g. search engines, calculators) and workflows (e.g. specialized prompts)—enabling them to access key information and perform tasks.
Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect electronic devices, MCP provides a standardized way to connect AI applications to external systems.
# Lifecycle
The Model Context Protocol (MCP) defines a rigorous lifecycle for client-server connections that ensures proper capability negotiation and state management.
- Initialization: Capability negotiation and protocol version agreement
- Operation: Normal protocol communication
- Shutdown: Graceful termination of the connection
# Primitives
# Resources
- https://gofastmcp.com/
- https://modelcontextprotocol.io/overview
# Courses
- https://anthropic.skilljar.com/introduction-to-model-context-protocol
- https://anthropic.skilljar.com/model-context-protocol-advanced-topics
- https://learn.deeplearning.ai/courses/build-ai-apps-with-mcp-server-working-with-box-files/
- https://learn.deeplearning.ai/courses/mcp-build-rich-context-ai-apps-with-anthropic/lesson/fkbhh/introduction
# Mcp securizados
- https://gofastmcp.com/servers/auth/authentication
- https://frontegg.com/blog/oauth