Discover our curated collection of MCP servers for data science & ml. Browse 9718 servers and find the perfect MCPs for your needs.
Retrieves information from the AWS Knowledge Base using the Bedrock Agent Runtime, enabling Retrieval-Augmented Generation (RAG).
Automates attack path planning and provides step-by-step reasoning for penetration testing, CTFs, and HTB challenges.
Demonstrates integrating large language model agents with external tools and APIs using the Model Context Protocol.
Enables large language models to query live Certinia data using natural language via CData JDBC Drivers.
Integrates the Model Context Protocol server with Claude Sonnet 4, an AI assistant, for enhanced file management and AI-powered assistance.
Integrates the Google Gemini Pro API with Claude Desktop, enabling advanced text and image analysis.
Establishes a secure, authenticated bridge between AI assistants and Databricks workspaces by hosting Model Context Protocol (MCP) prompts and tools on Databricks Apps.
Connects MCP clients like Claude Code to local LLMs running in LM Studio, allowing them to utilize a wide array of MCP tools.
Empowers LLMs with cloud browser automation for web interaction, data extraction, and automated actions.
Provides AI assistants with access to a comprehensive directory of Bangladeshi doctors, hospitals, and medical specialists.
Implements the Model Context Protocol (MCP) for creating servers and clients in Go, ensuring compatibility with pydantic-ai frameworks.
Transforms CSV or JSON data into structured JSON outputs using declarative YAML rules with powerful expression language and DTO generation.
Provides pairwise combinatorial testing capabilities to AI assistants.
Facilitates AI-powered interactions with Beans issue tracker workspaces through the Model Context Protocol.
Provides a local and remote server to access PubMed papers and metadata via NCBI E-utilities.
Provides access to US macro economic intelligence through a suite of eight specialized tools, leveraging data from FRED and ECB.
Processes audio for comprehensive analysis, including transcription, diarization, prosody, sentiment, and speech pattern detection.
Quantifies regulatory divergence, predicts legislative outcomes, and identifies timing windows using cross-jurisdiction regulatory forecasting for AI agents.
Provides AI assistants with a validated Canadian policy causal knowledge graph for deep policy analysis.
Transforms Markdown into PDF, Microsoft Word (DOCX), and PowerPoint (PPTX) files, enabling AI agents to comprehensively manage these documents.
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