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MCP servers tagged transformer
16 live MCP servers tagged "transformer", ranked by trust score. Tags come from package metadata and repository topics, so this list covers servers across every category that work with transformer.
AI Engineering Resources
Research papers and blogs to transition to AI Engineering
Multilspy
multilspy is a lsp client library in Python intended to be used to build applications around language servers.
Mercury MCP
Cross-architecture LLM internal observation database (23 models, 13 architecture families). Exposed as MCP tools for any AI coding agent.
LLM RAG Agent Tutorial
LLM-RAG-Agent-Tutorial for AI application developers and researchers.
SwarmLLM
Decentralized peer-to-peer LLM inference network. Single Rust binary, BitTorrent-inspired incentives, OpenAI-compatible API.
io.github.Filip-Pajalic/tensorcad
Model Context Protocol server for TensorCAD: design, validate, analyze and generate LLM architectures from an agent
OMC
Harmonic-substrate programming language: first-class φ, dual-band LLVM JIT, self-healing compiler, O(log_φπfib N) algorithms, and a substrate-native ML framework whose substrate-a…
AI Learning Platform
看懂 AI 为什么突然能「做事」了：Transformer → LLM → Agent → MCP → RAG，配交互演示的开源学习站
LatentContext MCP
A session-scoped memory layer for LLMs, built on the Model Context Protocol. LatentContext gives AI assistants the ability to explicitly store and retrieve notes, decisions, and c…
TransformerBee.mcp
MCP server wrapper around transformer.bee aka edifact-bo4e-converter
The AI Engineer
The AI Engineer capstones: gradient descent, deep learning, and transformers from scratch, culminating in an agentic MCP-based incident-command system with telemetry and replay.
Sample To Make LLM Service
Sample code to make llm service
Cross Cultural Merchandising Expert
This research proposes an "AI-Driven Cross-Cultural Commodity Expert" framework, which addresses three critical technical bottlenecks through synergistic innovations in multil…
Aie3672
A 28-lesson LLM application engineering course: Transformer internals to agent systems. English slide decks.
Understanding LLMs
Understanding LLMs for Software Engineers: a systems-first, bilingual guide to LLM principles, mechanisms, and boundaries.
Hippocampus
Build persistent, cross-session memory for AI agents with a single MemoryCore and two consumption modes, benchmark-tested on public standards.