Discover our curated collection of MCP servers for data science & ml. Browse 8922 servers and find the perfect MCPs for your needs.
Enables AI assistants to search and access biology preprints from bioRxiv through a Model Context Protocol (MCP) interface.
Stores and retrieves AI assistant interaction data using a Neo4j graph database.
Analyzes LinkedIn profiles by fetching, filtering, and managing post data, designed for integration with Claude AI.
Integrates Grok AI's capabilities, including chat completion, image understanding, and function calling, into Cline via the Model Context Protocol.
Enables LLM agents to access Perplexity's search-augmented AI capabilities via the Model Context Protocol.
Simulate AI-driven venture capitalist agents, continuously enriched by real-time market data, for investment-related tasks.
Facilitates code analysis by extracting, merging, and analyzing code files, optimized for use with Large Language Models.
Compiles YAML specifications into semantic LLM tools with structured memory and an emergent knowledge graph.
Enables interaction with Yahoo Finance data, providing pricing and company information.
Provides access to cryptocurrency market data from the Nobitex API.
Enables AI assistants to interact with Paper's trading platform API using natural language.
Automates web search and report generation using a LangGraph-based multi-agent system.
Provides an MCP server to access UK parliamentary data and enhance research with semantic search capabilities.
Optimizes JSON data for Large Language Model (LLM) contexts by providing schema generation and intelligent filtering capabilities.
Empowers AI assistants with advanced CSV data manipulation, analysis, and validation capabilities.
Enables local speech-to-text functionality for Claude Code on Linux, integrating voice input directly into the AI's conversation stream.
Provides interactive demos demonstrating core features, elicitations, and AI-powered content generation for building advanced MCP server tools.
Enables AI agents to generate and execute Python code in a sandboxed environment, seamlessly integrating with external Model Context Protocol tools.
Unifies MQTT sensors, Modbus devices, and industrial equipment into a single AI-orchestrable API, enabling real-time monitoring and control for Industrial IoT, SCADA, and PLC systems.
Connects AI agents to Datadog's observability tools and data, enabling direct querying of logs, metrics, traces, and incidents from AI-powered development environments.
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