kyopark2014kyopark2014Communityยท5 Agent Skills Included

mcp

Build MCP servers and LangGraph agents on AWS

Builds MCP servers and clients that connect LangGraph agents to external data sources like knowledge bases, arXiv, and local files. Implements RAG search through Amazon Bedrock Knowledge Bases without manual text extraction, chunking, or syncing work. Provides ready-to-run examples for stdio and HTTP transport, Docker deployment, and Streamlit chat interfaces.
npx skills add kyopark2014/mcp --all -g -y
Available:

Instructs the agent to rate task difficulty, build a checklist plan for complex requests, track progress to avoid repetition, and save final results as markdown files in the contents folder.

All Skills in This Repository (5)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install kyopark2014 mcp?โ–ผ

Run `npx skills add kyopark2014/mcp --all -g -y` in your terminal to install all skills in this repository globally.

How to connect LangGraph agents to MCP servers?โ–ผ

This repository shows how to use the LangChain MCP adapter to load MCP server tools and bind them to a LangGraph ReAct agent with a few lines of Python.

How to build RAG with Amazon Bedrock Knowledge Base?โ–ผ

It includes a complete MCP server example that calls the Bedrock retrieve API, so your agent can search documents without handling chunking or indexing yourself.

Does this work with Claude Desktop and Cursor?โ–ผ

Yes. The MCP servers follow the standard protocol over stdio or HTTP, so they connect directly to Claude Desktop, Cursor, and custom agent applications.

Can I deploy MCP servers on AWS?โ–ผ

Yes. The runtime folder provides Dockerfiles, IAM policy scripts, and ECR push scripts to deploy MCP servers on AWS with bearer token authentication.

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