Data Science & ML MCP Servers

Quantum Simulator

Simulates quantum circuits with noise models and integrates with Model Context Protocol (MCP) clients.

Tradovate

Enables AI assistants to manage Tradovate trading accounts through natural language.

Spring AI Examples

Provides example implementations for Spring AI's Model Context Protocol, demonstrating interaction with various databases.

Cross-LLM

Provides a unified Model Context Protocol server to access and combine responses from multiple Large Language Model APIs, including ChatGPT, Claude, and DeepSeek.

AITable

Facilitates AI agents in connecting with and manipulating AITable datasheets.

Data.gov.my

Provides seamless programmatic access to Malaysia's official government open data catalogue.

Mysql Query

Execute read-only MySQL queries for AI assistants and tools using the Model Context Protocol.

Promptheus

Automates prompt engineering to refine and optimize interactions with large language models across multiple providers.

Pacman

Enables LLMs to search and retrieve information from various package repositories.

Graphistry

Enables LLMs to visualize and analyze complex network data through GPU-accelerated graph visualization and analytics.

YouTube

Enables searching YouTube videos, retrieving transcripts, and performing semantic search over video content.

Video Recognition

Analyze images, audio, and videos using Google's Gemini AI.

Word Counter

Analyzes text documents by counting words and characters.

Grove Blockchain Data

Enables natural language querying of blockchain data across 70+ blockchain networks.

Document Indexer

Indexes and provides semantic search for local documents using a vector database and local language models.

Pwndbg

Endow AI agents with the capability to debug ELF binaries, particularly for CTF pwn challenges.

Document Reader

Enables AI agents to parse and extract information from various document types including DOCX, PDF, Excel, and TXT.

Sqlite Literature Management

Organizes and manages various sources, such as papers, books, and webpages, integrating them with knowledge graphs.

Local File Reader

Enables AI models to securely access and read local files using the Model Context Protocol (MCP).

Materials Project

Enables AI models to query and retrieve comprehensive materials science data from the Materials Project database via a Model Context Protocol server.