"Streamlit" matching MCP servers:

Enables users to run an autonomous sales pipeline through MCP tools for lead generation, enrichment, personalized message drafting, and simulated or live outreach. It supports n8n orchestration and Streamlit dashboard monitoring with SQLite-backed lead and message tracking.

Enables local offline machine learning workflows, including CSV profiling and cleaning, classifier and neural network training, hyperparameter optimization, evaluation metrics, confusion matrix plots, Streamlit dashboards, and HTML reports through MCP tools.

Enables AI clients to retrieve study-abroad admissions knowledge through a local, pluggable RAG pipeline with hybrid search, reranking, citations, and observability. It provides MCP tools, document ingestion, and a Streamlit dashboard for managing and evaluating retrieval.

Enables authenticated users to query cloud platforms like AWS, GCP, and Azure using natural language, with a Streamlit UI and NLP layer for retrieving cloud responses.

Provides real-time weather forecasts through an MCP server, using Google Gemini for AI-powered interactions and a Streamlit interface.