Data Science & ML MCP Servers

Rhino

155

Connects Rhino 3D to AI Agents via the Model Context Protocol (MCP), enabling AI-assisted 3D modeling.

Airtable

153

Enables AI systems to interact with Airtable bases for reading and writing data.

XiYan

145

Enables natural language queries to retrieve data from databases by converting them into SQL.

Easy

145

Simplifies the creation of Model Context Protocol (MCP) servers in TypeScript.

Mongo

143

Enables Large Language Models (LLMs) to directly interact with MongoDB databases using natural language.

Dingo

142

Detects data quality issues in datasets automatically using built-in rules and model evaluation methods.

Google Sheets

141

Enables creating, reading, updating, and managing Google Sheets spreadsheets programmatically.

ReAct Web Search

137

Integrates web search capabilities into AI assistant frameworks using the Exa API for real-time, markdown-formatted results.

BioMCP

134

Facilitates biomedical research by providing an open-source toolkit for AI assistants and agents to search and retrieve data on clinical trials, PubMed articles, and genomic variants.

Azure AI Agent Service

133

Integrates with Azure AI Foundry to connect to existing Azure AI Agents, leveraging models and knowledge tools.

Yargi

133

Facilitates access to various Turkish legal databases, providing a standardized Model Context Protocol (MCP) interface.

Wire

132

Empowers LLMs with real-time network traffic analysis using Wireshark's tshark.

Milvus

129

Provides access to Milvus vector database functionality through the Model Context Protocol (MCP).

Weaviate

126

Integrates Weaviate as a Model Context Protocol (MCP) server, enabling seamless interaction with Claude.

Alibaba Cloud Tablestore

123

Provides implementations for interacting with Alibaba Cloud Tablestore.

GPT Researcher

122

Enables LLM applications to perform in-depth research through the MCP protocol.

Pinecone

121

Enables reading and writing to a Pinecone index via the Model Context Protocol, facilitating retrieval-augmented generation (RAG).

Trader

119

Provides stock traders with a Model Context Protocol (MCP) server for financial analysis.

Open Data

118

Connects Large Language Models to open data sources using the Model Context Protocol.

Code Executor

117

Executes Python code from LLM prompts within a specified Conda environment.