Data Science & ML Servidores MCP

ETF Dashboard

Analyze Exchange-Traded Funds (ETFs) using real-time and historical data, offering insights into market trends and sentiment.

Math Solver

Solves mathematical problems using a client-server architecture.

Attendee

Manages and controls AI meeting bots for recording, transcription, and interactive communication within various meeting platforms.

AI Usecases Examples

Provides practical code snippets and examples for integrating various artificial intelligence features and models.

Exa

Enables AI assistants like Claude to perform web searches using the Exa AI Search API.

Weather

Integrates real-time weather data into large language models and Model Context Protocol clients.

Mongo

Enables Large Language Models (LLMs) to interact with MongoDB databases using natural language.

Edgar

Provides a Model Context Protocol (MCP) server for deep financial document analysis and content extraction from the SEC EDGAR database.

Paylocity

Connects Paylocity data to large language models and AI clients through a read-only Model Context Protocol (MCP) server, enabling natural language queries.

Wikipedia

Provides Wikipedia search and content retrieval tools via a production-ready Model Context Protocol (MCP) server.

Morpho API

Enables querying of the Morpho API for market data, vaults, positions, and more within Claude.

Cloudinary Structured Metadata

Manages structured metadata fields, rules, and associated data to enhance asset organization and searchability.

Model Context Provider

Provides a server for managing model context during development and learning.

LLM

Facilitates the creation of MCP (Model Control Protocol) clients and servers for Large Language Models.

Local Project Sync

Connects local code repositories to AI applications, such as Claude, enabling real-time project knowledge synchronization.

Akab

Provides a production-grade A/B testing framework with three levels of scientific rigor for comparing large language model (LLM) outputs.

Memory

Provides a high-performance C++ server for real-time memory scanning and analysis of Windows processes, accessible via Model Context Protocol or HTTP.

LightRAG

Provides a tool-based interface to a locally running LightRAG HTTP API, enabling programmatic interaction with its capabilities.

Aave

Provides a production-ready server for automating Aave V3 DeFi operations on the Base network through the Model Context Protocol.

Quickbase

Facilitates connecting large language models to live Quickbase data through a Model Context Protocol (MCP) server.