Discover our curated collection of MCP servers for data science & ml. Browse 6531servers and find the perfect MCPs for your needs.
Connects AI agents to Tibber energy consumption data and pricing information via the Model Context Protocol.
Enables AI language models to interact with YouTube content through a standardized interface.
Provides a natural language interface for Kubernetes troubleshooting and analysis powered by AI.
Facilitates advanced reading and analysis of Excel documents via a powerful Model Context Protocol server.
Optimizes prompts for large language models using state-of-the-art frameworks like CO-STAR and Chain-of-Thought critique via OpenRouter.
Generates and validates Wirefilter WAF rules, providing contextual information and testing tools to aid LLMs.
Provides AI-native access to the MITRE ATT&CK threat intelligence framework with over 80 tools for querying techniques, tactics, groups, software, and mitigations across Enterprise, Mobile, and ICS domains.
Enables AI assistants to seamlessly interact with Grafana dashboards, datasources, alerts, incidents, and comprehensive observability tools.
Proxies Codex CLI sessions as an MCP server, providing real persistence for AI agent interactions and allowing users to resume conversations.
Interfaces with the Perplexity AI API using the Model Context Protocol to provide advanced question answering capabilities.
Manages Alibaba Cloud Realtime Compute for Apache Flink resources through a standardized Model Context Protocol (MCP) interface.
Ensures session continuity and context recovery for AI agents by automatically tracking work and generating rich continuation prompts.
Enables Claude Code to delegate advanced AI tasks to IBM watsonx.ai foundation models like Granite, Llama, and Mistral.
Enables LLMs to access and utilize Google Search results via the Serper API.
Provides a comprehensive server infrastructure for food and nutrition intelligence, offering tools for data retrieval, meal planning, and dietary analysis.
Provides secure access to the Xplainable AI platform, enabling the management, deployment, and explanation of machine learning models.
Extracts and processes content, metadata, and specific pages from PDF documents following the Model Context Protocol (MCP) specification.
Facilitates finding code by its meaning and context rather than relying solely on text-based keyword matching.
Enables connecting to Azure DevOps data from Claude Desktop using CData JDBC Drivers.
Predicts crocodile conservation status using machine learning algorithms via a web application and terminal-based LLM interactions.
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