Discover our curated collection of MCP servers for data science & ml. Browse 6480servers and find the perfect MCPs for your needs.
Provides LLM tools to search and retrieve comprehensive clinical trial data from the official ClinicalTrials.gov REST API.
Enables conversational exploration and analysis of RDF-based Knowledge Graphs through local files or SPARQL endpoints.
Automates code merging and application of edits using the Osmosis-Apply-1.7B model within an MCP server environment.
Connects AI models to your GNOME desktop, enabling programmatic control and data access.
Facilitates seamless integration of VideoDB context with LLMs and AI agents by automating SDK version synchronization, documentation updates, and example generation.
Enables AI agents to discover, access, and query high-quality business data products while enforcing data governance policies.
Processes Excel files by providing microservice functionalities for reading, writing, and analyzing data.
Integrates Google search capabilities, enhanced by AI-powered deep research, into Model Context Protocol-enabled applications.
Provides advanced image analysis capabilities like captioning, visual question answering, and object detection via the Model Context Protocol (MCP).
Delivers curated positive and uplifting news stories using sentiment analysis.
Equip Claude with advanced math capabilities including symbolic math, statistical analysis, and matrix operations.
Empowers AI agents to orchestrate industry-standard reverse engineering tools like Ghidra, Radare2, and YARA for automated malware analysis and security research.
Provides an MCP server for Langfuse, enabling AI agents to query trace data for debugging and observability.
Enables interaction with Databricks clusters, jobs, and notebooks via the Model Completion Protocol.
Fetches YouTube video transcripts for integration with Large Language Models via Model Context Protocol.
Enables Large Language Models to securely access, analyze, and manipulate data within Firebird SQL databases.
Integrates Zerodha's trading platform with Claude AI, enabling users to interact with their trading account through natural language.
Executes Python code generated by LLMs in a secure, locally-hosted environment, leveraging Hugging Face's LocalPythonExecutor and MCP for LLM application integration.
Retrieves Rust crate documentation from docs.rs to provide LLMs with context for working with Rust code.
Enables AI assistants to interact with and manipulate Google Sheets and Google Drive files.
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