Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 6536servers and find the perfect MCPs for your needs.
Cyberbro
Analyzes indicators of compromise (IoCs) from unstructured input and checks their reputation using multiple threat intelligence services.
Token Metrics
Provides cryptocurrency data, analytics, and insights through function calling, enabling AI assistants and agents to access real-time crypto market data.
Octagon VC Agents
Simulate AI-driven venture capitalist agents, continuously enriched by real-time market data, for investment-related tasks.
ExploitDB
Provides access to the Exploit Database functionality, enabling users to query information about security exploits and vulnerabilities.
ChessAgine
Provides advanced chess analysis by implementing a Chess Context Protocol Server and integrating Stockfish, positional theme analysis, and opening databases.
Company Docs
Transforms an organization's documentation into an AI-powered knowledge base, offering instant answers via chat interfaces and AI assistant integrations.
Kestra Python Server
Enables AI IDEs and chat interfaces to interact with Kestra through a Python-based server and various Kestra-specific tools.
Java Class Analyzer
Analyzes Java class files, decompiles them, scans Maven dependencies, and extracts method lists to enhance Large Language Models' code analysis capabilities.
Nodit
Enables AI agents to interact with multi-chain blockchain data via Nodit's Web3 Data and Node APIs.
Openpyxl
Enables Claude and other Model Context Protocol (MCP) clients to fetch and analyze data from Excel files.
Elasticsearch
Connect to Elasticsearch clusters directly from any Model Context Protocol (MCP) Client.
CBN
Provides an MCP server to access Central Bank of Nigeria (CBN) data and circulars directly within AI applications.
ModelScope
Integrates ModelScope's AI ecosystem with Model Context Protocol (MCP) clients, enabling seamless access to models, datasets, and generation capabilities.
Strava
Enables language models to access and query athlete activity data from the Strava API.
AgentKits Memory
Provides a fast, local, and persistent memory system for AI coding assistants, enabling them to store and recall information across sessions.
Think Tool
Enables LLMs to record, retrieve, and manage their reasoning processes during problem-solving.
Qdrant
Provides semantic search capabilities by leveraging a local Qdrant vector database and OpenAI embeddings.
Majin Slide
Generates AI-powered markdown slide presentation prompts for professional presentations.
Trino
Enables listing and querying Trino tables via the Model-Control-Protocol (MCP) using Python.
DolphinScheduler
Enables AI agents to interact with Apache DolphinScheduler through a standardized Model Context Protocol (MCP).
Scroll for more results...