Discover our curated collection of MCP servers for data science & ml. Browse 5383servers and find the perfect MCPs for your needs.
Manages intelligent structured documents to prevent token overflow in large language models and ensure content consistency.
Enables secure filesystem access for AI models through the Model Context Protocol, restricting operations to predefined directories.
Enables AI assistants to interact with the MetaTrader 5 platform for trading and market data analysis.
Provides a minimal Model Context Protocol server and CLI for inspecting source trees and managing workspaces using ripgrep and Git.
Enables Claude AI to interact with the Solana blockchain through a standardized interface.
Provides an MCP server for accessing stock market data from the Alphavantage API.
Enhance AI capabilities by integrating advanced OpenAI GPT models and specialized tools with Claude for intelligent reasoning and task optimization.
Provides an MCP server to calculate popular technical indicators and historical OHLCV data for stocks listed on the National Stock Exchange of India (NSE).
Scrapes LinkedIn profile data asynchronously using the RapidAPI LinkedIn Profile Scraper API.
Provides Large Language Models (LLMs) with real-time context on Massachusetts beaches and current conditions.
Provides AI assistants with access to sacred scriptures from major world religions via a Model Context Protocol server.
Enables self-review of GitHub pull requests using Claude AI.
Exposes SAP OData services as dynamic MCP tools, transforming SAP systems into conversational AI interfaces for natural language interaction.
Provides email and phone validation tools for integration into AI applications and workflows.
Provides a Model Context Protocol (MCP) server for accessing financial data and executing trading operations using Angle One's trading APIs.
Analyzes tabular data, detects anomalies, and generates interpretive summaries using a local LLM.
Challenges proposed actions before execution, enforcing clarity and coherence with predefined principles through adversarial questioning and NLI-based reasoning evaluation.
Manages document ingestion, chunking, semantic search, and note management.
Monitors and analyzes the Fetch.ai autonomous agent economy, providing real-time insights into agent interactions, transactions, and network health.
Empowers Large Language Models (LLMs) to interact with web pages through structured accessibility snapshots using a Model Context Protocol (MCP) server.
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