"Ayuda para mejorar el diseño de aplicaciones en Flutter" matching MCP servers:

Enables AI agents to prepare job-tailoring prompts, export tailored resumes to Google Docs, inspect job details, and retry pending evaluations through JSON-RPC 2.0 tools.

Provides personalized Data Engineering learning updates by fetching recent news about DE concepts, patterns, and technologies, while tracking user knowledge to present only new information relevant to their learning journey.

Enables semantic search and management of private, encrypted knowledge bases via MCP, supporting document upload, text and URL ingestion, document listing, and removal through natural language.

Enables AI assistants to query internal business systems declaratively, exposing curated YAML-defined SQL queries as MCP tools so assistants can fetch live sales, inventory, and support data without writing SQL or seeing credentials.

An MCP server that makes trade documents machine readable using Docling for local, deterministic document extraction and search, with no AI required.

MCP server that gives AI agents paid tools to de-risk costly actions: dependency vetting, x402 endpoint verification, JSON repair, and URL reading. Fronts the Guard HTTP API at guard.fabtally.com.

Dual-memory MCP system with PostgreSQL 17 + pgvector + NVIDIA NIM embeddings. 11 tools: search, save, profile, health, auto-repair, stats, tune, dedup, checkpoint, maintenance. Sparse Selective Caching (SSC) with 4-phase progressive retrieval. Bilingual EN/ES.

An MCP server that gives Claude (and any MCP client) a shared team knowledge base with semantic search. Backed by ChromaDB and Google Gemini embeddings — works across languages (RU + EN).