Large Language Models Servidores MCP

Toon

Optimizes structured data serialization for Large Language Model prompts, significantly reducing token usage while improving parsing reliability.

Llm Context

Injects relevant code and text context into Large Language Model chat interfaces.

LLM Access

Provides access to various Large Language Models (LLMs) through an MCP server.

Chain Of Draft

Implements the Chain of Draft (CoD) reasoning approach within an MCP server, enabling efficient LLM reasoning.

MCPServe

Deploys a simple Model Context Protocol (MCP) server with shell execution capabilities.

Typescript Simple Template

Provides a ready-to-use TypeScript template for creating Model Context Protocol (MCP) servers.

Portfolio Manager

Values personal investment portfolios across various asset classes, automates market data fetching, and generates trading insights using large language models.

Pymupdf4llm

Exports PDF files to markdown format, optimized for use with Large Language Models (LLMs).

RAG LLM Framework

Orchestrates LLM interactions by routing user queries, managing prompts, and integrating Retrieval-Augmented Generation.

GenAI Agents Handbook

Provides production-ready templates and concepts for AI Engineering, specializing in advanced RAG pipelines, multi-agent workflows, and prompt optimization.

Realtime Context Demo

Demonstrates real-time event streaming with Kafka Streams, materialized views, and an LLM-queryable API for logistics operations.

FGD Fusion Stack Pro

Enhances Large Language Model interactions by providing a persistent memory store, real-time file system monitoring, and intelligent context injection for development environments.

AI Data Guardian

Safeguards sensitive information by redacting, allowlisting, and sanitizing data before it reaches large language models.

BtwExtra

Augments R sessions with specialized tools for seamless interaction and code execution by Large Language Models.

Chat

Provides a command-line interface for interacting with large language models, supporting document retrieval and command execution.