Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 3327servers and find the perfect MCPs for your needs.
Fluent
Build Model Context Protocol (MCP) servers with embedded LLM reasoning capabilities.
Core
Orchestrate and manage local AI tools through a unified Model Context Protocol gateway.
Xero by CData
Enables querying of live Xero data from Large Language Models like Claude Desktop using natural language through a Model Context Protocol (MCP) interface.
Mbta
Provides Boston-area transit information by communicating with the MBTA API.
Zendesk by CData
Enables connecting to Zendesk data from Claude Desktop using CData JDBC Drivers via a read-only Model Context Protocol (MCP) server.
Cloud Video Intelligence API
Provides a Multi-Agent Conversation Protocol (MCP) server for interacting with the Google Cloud Video Intelligence API.
AlphaVantage
Integrates AlphaVantage's financial data API as an MCP service, facilitating easier integration with other applications.
Laravel Model Context Protocol
Provides a Laravel package for interacting with Model Context Protocol (MCP) servers and implementing MCP servers.
IQA Server
Assess image quality through a server providing various analysis tools.
Uditdev21
Integrates GitHub and AlphaVantage APIs to fetch user/repository details and perform stock market analysis.
Salesforce by CData
Connects Claude Desktop to Salesforce data using CData JDBC Drivers.
Akshare
Provides historical financial market data for A-shares, Hong Kong, and US stocks via the AkShare API as an MCP server.
Langgraph Integration
Demonstrates integrating the Model Control Protocol (MCP) with LangGraph for building AI research assistants.
Snowflake Cortex
Integrates Snowflake Cortex Agents with Model Context Protocol clients for enhanced AI development.
Mcp-Nlp
Provides natural language processing capabilities using the Model Context Protocol within a FastMCP application.
LLM
Facilitates the creation of MCP (Model Control Protocol) clients and servers for Large Language Models.
Wikipedia Summary Fetcher
Retrieves Wikipedia summaries for AI assistants using a FastAPI server.
Vega-Lite Troubleshooting
Provides documentation and troubleshooting guidance for Vega-Lite integration with Claude.
Ingest
Ingests APIs, SDKs, and schemas for consumption by AI models via the Model Context Protocol (MCP).
Model Context Provider
Provides a server for managing model context during development and learning.
Scroll for more results...