Discover our curated collection of MCP servers for data science & ml. Browse 10342 servers and find the perfect MCPs for your needs.
Interconnects Large Language Models (LLMs) with data spaces using the Model Context Protocol (MCP).
Extracts figures, tables, captions, and section titles from scholarly PDFs with high accuracy.
Tracks cryptocurrency prices, manages a watchlist, and exports data to Google Sheets using the Coingecko API.
Automates Slack message fetching and processing using AI agents.
Facilitates seamless integration between Claude and OpenAI's GPT-5 API using the Model Context Protocol.
Offers comprehensive text analysis capabilities to AI agents, including character and word counting, and detailed character type breakdowns.
Provides searchable information about the Dotika AI company using Google results via SerpAPI.
Enables AI agents to perform hybrid searches over Hacker News stories, combining keyword and semantic embedding techniques.
Empowers AI agents to access comprehensive UNHCR data on forcibly displaced persons through a standardized interface.
Quantifies startup potential across seven dimensions to streamline investment due diligence.
Empower AI agents with access to a comprehensive suite of 21 intelligence tools, offering real-time data, web scraping, and crypto insights, all powered by x402 micropayments.
Provides a production-grade server for structured context and semantic retrieval (RAG) to enhance LLM agents in software engineering workflows.
Exposes FastBCP functionality for high-performance data export from databases to various file formats and cloud storage targets.
Exposes PostgreSQL database tools to AI clients through the Model Context Protocol.
Provides AI agents with access to ontological research, Universal Language briefings, context frameworks, and agent information via an MCP server.
Automates the full insurance carrier statement lifecycle from ingestion and reconciliation to posting transactions to Applied Epic.
Discover directed causal structures, estimate treatment effects, and reason about counterfactuals over multi-domain research data through a single Model Context Protocol interface.
Ingests and manages contextual information and training data through multiple iterations, performing multi-pass lexical retrieval over a chunk graph without a vector database.
Generates shell commands instantly from natural language queries, eliminating the need for manual lookups or AI chatbot prompts.
Manages decentralized finance portfolios across multiple blockchains using AI agents while ensuring self-custody and intelligent optimization.
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