Fast-LLM-Agent-MCP

About Fast-LLM-Agent-MCP

Fast LLM & Agents & MCPs This repo covers LLM, Agents, MCP Tools, Skills concepts both theoretically and practically: LLM Architectures, RAG, Fine Tuning, Agents, Tools, MCP, Agent Frameworks, Reference Documents. Agent Sample Codes with LangChain & LangGraph ( v1.0.0, prod. version). Agent Sample Codes with AWS Strands Agents. Agent Sample Codes with Google Agent Development Kit (ADK).

agent-development agents ai aws bedrock finetuning gemini google-adk langchain langgraph

Quick Facts

Stars	79
Forks	31
Language	Python
Category	MCP Server
Quality Score	56.0636102121144/100
Last Updated	2026-06-07
Created	2025-04-07
Platforms	aws, gemini, mcp, python
Est. Tokens	~4560k

Compatible Skills

These tools work well together with Fast-LLM-Agent-MCP for enhanced workflows:

agent-tackle-box — semantic(0.27)+complementary+shared_fw(langchain)+rare_topics+same_lang+similar_pop+shared_platform (67%)
llm-agents-interview — semantic(0.21)+complementary+shared_fw(langchain)+same_lang+similar_pop+shared_platform (61%)
langchain-agent-skills — semantic(0.21)+complementary+shared_fw(langchain)+same_lang+similar_pop+shared_platform (60%)
skills-agent-proto — semantic(0.17)+complementary+shared_fw(langchain)+same_lang+similar_pop+shared_platform (59%)
TapeAgents — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)

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Frequently Asked Questions

What is Fast-LLM-Agent-MCP?

Fast-LLM-Agent-MCP is This repo covers LLM, Agents, MCP Tools, Skills concepts with sample codes: LangChain & LangGraph, AWS Strands Agents, Google Agent Development Kit, Fundamentals.. It is categorized as a MCP Server with 79 GitHub stars.

What programming language is Fast-LLM-Agent-MCP written in?

Fast-LLM-Agent-MCP is primarily written in Python. It covers topics such as agent-development, agents, ai.

How do I install or use Fast-LLM-Agent-MCP?

You can find installation instructions and usage details in the Fast-LLM-Agent-MCP GitHub repository at github.com/omerbsezer/Fast-LLM-Agent-MCP. The project has 79 stars and 31 forks, indicating an active community.

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