This repo covers LLM, Agents, MCP Tools, Skills concepts with sample codes: LangChain & LangGraph, AWS Strands Agents, Google Agent Development Kit
Most AI and media services work still happens through a UI a human drives. Fast LLM & Agents & MCPs MCP server moves it into the conversation instead. This repo covers LLM, Agents, MCP Tools, Skills concepts with sample codes: LangChain & LangGraph, AWS Strands Agents, Google Agent Development Kit, Fundamentals.
LLM Core components: - Embedding layer: Converts words/tokens into vectors. - Positional encoding: Adds word order information. - Self-attention mechanism: Captures relationships between tokens. - Feed-forward layers: Process token-level information. - Layer normalization & residuals: Stabilize and enhance training. - Output head: predicts next token or classification result.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
The server publishes 6 tools. What each one is for:
Local — The Local tool exposed by this serverOllama — The Ollama tool exposed by this serverHuggingFace — The HuggingFace tool exposed by this serverLlamaIndex — The LlamaIndex tool exposed by this serverCrewAI — CrewAI is Python framework built entirely from scratch—completely independent of LangChain or other agent frameworks. CrewAI empowers developers withPydanticAI — The PydanticAI tool exposed by this serverPlenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Fast LLM & Agents & MCPs's toolset — Local, Ollama, HuggingFace and 3 more — is a fair guide to whether it matches your workflow. It is maintained by omerbsezer; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Local | The Local tool exposed by this server. |
| Ollama | The Ollama tool exposed by this server. |
| HuggingFace | The HuggingFace tool exposed by this server. |
| LlamaIndex | The LlamaIndex tool exposed by this server. |
| CrewAI | CrewAI is Python framework built entirely from scratch—completely independent of LangChain or other agent frameworks. CrewAI empowers developers with both high-level simplicity and precise low-level control, ideal for cr |
| PydanticAI | The PydanticAI tool exposed by this server. |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.