Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 2313servers and find the perfect MCPs for your needs.
Transformers
Provides state-of-the-art machine learning models for text, computer vision, audio, video, and multimodal tasks, supporting inference and training across PyTorch, TensorFlow, and JAX.
LangChain
Build applications powered by language models by chaining together components and third-party integrations.
MindsDB
Build AI applications that can learn and answer questions over large-scale federated data sources using a federated query engine.
Agno
Build agents with this lightweight, high-performance Python library.
OpenAI
Enables interaction with the OpenAI API from Python 3.8+ applications.
Perplexica
Provides an open-source AI-powered search engine alternative to Perplexity AI.
GPT Researcher
Conducts in-depth web and local research on any topic, generating comprehensive reports with citations.
Smolagents
Enables the creation of powerful agents that think and act using Python code.
Sentence Transformers
Compute text embeddings for semantic search, textual similarity, and paraphrase mining.
Anthropic Cookbook
Provides code examples and guides for building applications with Claude, Anthropic's AI assistant.
txtai
Enables semantic search, LLM orchestration, and language model workflows with an all-in-one embeddings database.
OpenAI Agents SDK
Facilitates the creation of multi-agent workflows with configurable agents, handoffs, guardrails, and tracing.
Graphiti
Builds and queries temporally-aware knowledge graphs tailored for AI agents operating in dynamic environments.
PydanticAI
Simplifies building production-grade Generative AI applications by integrating Pydantic with LLMs.
Opik
Debug, evaluate, and monitor LLM applications, RAG systems, and agentic workflows.
Ollama Python
Enables seamless integration of Python applications with the Ollama large language model platform.
PyMuPDF
Enables data extraction, analysis, conversion, and manipulation of PDF, XPS, and eBook documents in Python.
Phoenix
Provides an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting of LLM applications.
Mcp-Go
Implements the Model Context Protocol (MCP) in Go, facilitating integration between LLM applications and external data sources and tools.
Jsondiffpatch
Compares and patches JavaScript objects, generating compact deltas for efficient updates and reversions.
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