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.
Memory Domain Knowledge
Implements persistent memory using a local knowledge graph, enabling Claude to remember information across chats.
Ordiscan
Retrieves information about Ordinals and Runes on the Bitcoin network.
Claude LM Studio Bridge
Connects Claude to local LLMs running in LM Studio.
Daisys
Connects to the Daisys AI platform for use with MCP clients.
Semantic Scholar Graph
Provides AI assistants with direct access to Semantic Scholar's academic database for research and analysis.
FHIR on FHIR
Integrates FHIR with Model Context Protocol knowledge graph capabilities for interactive healthcare data access.
Gemini
Integrates Google's Gemini model with Claude using the Model Context Protocol (MCP).
Lindorm
Facilitates interaction with Alibaba Cloud's Lindorm multi-model NoSQL database through a suite of tools for data retrieval and management.
Phalcon
Provides blockchain transaction analysis tools by integrating with the BlockSec platform.
Strava
Enables interaction with the Strava API through a Model Context Protocol (MCP) server.
DeepSeek
Provides code generation and completion capabilities using the DeepSeek API, with support for tool chaining and cost optimization.
Files-DB
Provides LLM coding agents with vector search capabilities for software projects via the Message Control Protocol (MCP).
Webscraper
Transcribes webpages, YouTube videos, and PDFs for use with Large Language Models.
Pypi Query
Enables structured queries for Python packages and their associated GitHub repositories.
Agentipy
Enables Claude AI to interact with the Solana blockchain by providing on-chain tools through a standardized interface.
PubChem
Enables querying of the PubChem database for chemical compound data and generating structure files.
Arxiv Search
Searches and retrieves academic papers from arXiv using the Model Context Protocol.
Pytest Results Context
Updates large language models with context about the most recent pytest results.
Chroma
Integrates ChromaDB with Cursor IDE to create a persistent, searchable knowledge hub for AI-assisted development.
Opensearch
Connects language models to an OpenSearch database for semantic memory storage and retrieval.
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