diff --git a/README-pt_BR.md b/README-pt_BR.md
index c89ab03b..31dcd780 100644
--- a/README-pt_BR.md
+++ b/README-pt_BR.md
@@ -371,6 +371,7 @@ Armazenamento de memória persistente usando estruturas de grafos de conheciment
 - [mcp-summarizer](https://github.com/0xshellming/mcp-summarizer) 📕 ☁️ - Servidor MCP de Resumo IA, Suporte para múltiplos tipos de conteúdo: Texto simples, Páginas web, Documentos PDF, Livros EPUB, Conteúdo HTML
 - [mem0ai/mem0-mcp](https://github.com/mem0ai/mem0-mcp) 🐍 🏠 - Um servidor de Protocolo de Contexto de Modelo para Mem0 que ajuda a gerenciar preferências e padrões de codificação, fornecendo ferramentas para armazenar, recuperar e lidar semanticamente com implementações de código, melhores práticas e documentação técnica em IDEs como Cursor e Windsurf
 - [modelcontextprotocol/server-memory](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/memory) 📇 🏠 - Sistema de memória persistente baseado em grafo de conhecimento para manter contexto
+- [nonatofabio/local-faiss-mcp](https://github.com/nonatofabio/local_faiss_mcp) 🐍 🏠 🍎 🐧 - Database vetorial FAISS local para RAG com ingestão de documentos (PDF/TXT/MD/DOCX), busca semântica, re-ranking e ferramentas CLI
 - [pinecone-io/assistant-mcp](https://github.com/pinecone-io/assistant-mcp) 🎖️ 🦀 ☁️ - Conecta-se ao seu Assistente Pinecone e dá ao agente contexto a partir do seu motor de conhecimento.
 - [@ragieai/mcp-server](https://github.com/ragieai/ragie-mcp-server) 📇 ☁️ - Recupere contexto da sua base de conhecimento [Ragie](https://www.ragie.ai) (RAG) conectada a integrações como Google Drive, Notion, JIRA e muito mais.
 - [JamesANZ/memory-mcp](https://github.com/JamesANZ/memory-mcp) 📇 🏠 - Um servidor MCP que armazena e recupera memórias de múltiplos LLMs usando MongoDB. Fornece ferramentas para salvar, recuperar, adicionar e limpar memórias de conversa com timestamps e identificação de LLM.
diff --git a/README.md b/README.md
index eb2371b1..654d9a25 100644
--- a/README.md
+++ b/README.md
@@ -893,6 +893,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [mem0ai/mem0-mcp](https://github.com/mem0ai/mem0-mcp) 🐍 🏠 - A Model Context Protocol server for Mem0 that helps manage coding preferences and patterns, providing tools for storing, retrieving and semantically handling code implementations, best practices and technical documentation in IDEs like Cursor and Windsurf
 - [modelcontextprotocol/server-memory](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/memory) 📇 🏠 - Knowledge graph-based persistent memory system for maintaining context
 - [MWGMorningwood/Central-Memory-MCP](https://github.com/MWGMorningwood/Central-Memory-MCP) 📇 ☁️ - An Azure PaaS-hostable MCP server that provides a workspace-grounded knowledge graph for multiple developers using Azure Functions MCP triggers and Table storage.
+- [nonatofabio/local-faiss-mcp](https://github.com/nonatofabio/local_faiss_mcp) 🐍 🏠 🍎 🐧 - Local FAISS vector database for RAG with document ingestion (PDF/TXT/MD/DOCX), semantic search, re-ranking, and CLI tools for indexing and querying
 - [pi22by7/In-Memoria](https://github.com/pi22by7/In-Memoria) 📇 🦀 🏠 🍎 🐧 🪟 - Persistent intelligence infrastructure for agentic development that gives AI coding assistants cumulative memory and pattern learning. Hybrid TypeScript/Rust implementation with local-first storage using SQLite + SurrealDB for semantic analysis and incremental codebase understanding.
 - [pinecone-io/assistant-mcp](https://github.com/pinecone-io/assistant-mcp) 🎖️ 🦀 ☁️ - Connects to your Pinecone Assistant and gives the agent context from its knowledge engine.
 - [mattjoyce/mcp-persona-sessions](https://github.com/mattjoyce/mcp-persona-sessions) 🐍 🏠 - Enable AI assistants to conduct structured, persona-driven sessions including interview preparation, personal reflection, and coaching conversations. Built-in timer management and performance evaluation tools.