Discover our curated collection of MCP servers for data science & ml. Browse 5562servers and find the perfect MCPs for your needs.
Enables an AI agent to manipulate a SQL database for retail car management.
Enables Claude AI to interact with the Solana blockchain through a standardized interface.
Provides Large Language Models (LLMs) with real-time context on Massachusetts beaches and current conditions.
Provides advanced options analysis and strategy evaluation through Yahoo Finance, enabling LLMs to process options chain data.
Connects large language models to live MarkLogic data, enabling natural language querying through a Model Context Protocol interface.
Provides Model Context Protocol (MCP) servers for file searching and speech-to-text conversion.
Executes code written in OpenQASM format for quantum computations.
Reranks documents based on relevance to a given query using the ZeroEntropy Zerank API.
Connects to Okta data via the Model Context Protocol (MCP) to enable natural language queries from Large Language Models (LLMs).
Leverage the Tessie API to transform Tesla ownership with intelligent analytics, cost optimization, and predictive insights.
Provides automated therapeutic support for AI agents to mitigate potential distress.
Provides blockchain identity authentication, agent scoring, and market data analysis for AI agents via the MCP protocol.
Enables Claude Desktop to query Raiser's Edge NXT data using CData JDBC Drivers.
Provides a production-ready Model Context Protocol server implementing a three-tiered memory architecture for vertical agents.
Enables connecting to Reckon Accounts Hosted data from LLMs like Claude Desktop for natural language querying.
Track real-time AI/LLM research advancements across multiple academic and development platforms.
Answers natural language questions by querying and summarizing Wikipedia content through an MCP-compatible interface.
Facilitates natural language querying of live PayPal data for Large Language Models through CData JDBC Drivers.
Explores and demonstrates artificial intelligence concepts through proof-of-concept implementations.
Empowers AI clients with the ability to retain and retrieve user preferences and behaviors across multiple conversations using advanced vector search.
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