Data Science & ML MCP Servers

Allure Report Reader

Transforms Allure test reports into LLM-friendly JSON formats for AI-assisted analysis.

Apple Notes

Enables semantic search and Retrieval Augmented Generation (RAG) over Apple Notes using AI assistants like Claude.

Data Extractor

Extracts embedded data and SVG components from TypeScript/JavaScript source code into structured JSON and SVG files.

Thingsboard

Leverages Thingsboard data to provide context for Large Language Model (LLM) tools.

Download

Manages file downloads through an AI model via standardized Model Context Protocol (MCP) interface.

BloodHound

Analyzes and visualizes complex network relationships within Active Directory environments.

GSC

Connects Google Search Console data to Claude Desktop for advanced SEO analysis and reporting.

MySQL Server

Enables AI models to interact with MySQL databases through a standardized Model Context Protocol interface.

Phalcon

Provides blockchain transaction analysis tools by integrating with the BlockSec platform.

DataGovMy

Exposes Malaysian government datasets as Model Context Protocol (MCP) tools for AI agents and developer tools.

Memoer

Manages memories programmatically with local storage, semantic search, and OpenAI embeddings.

CockroachDB

Provides a natural language interface for agentic applications to manage, monitor, and query data in CockroachDB.

AppSignal

Provides AI agents with programmatic access to AppSignal's monitoring data, metrics, and developer tools.

XRPL

Provides comprehensive blockchain services for the XRP Ledger ecosystem, enabling AI agents to interact with XRPL networks through a unified interface.

Vector

Manages standardized collection operations across multiple vector database technologies for AI agents.

Zignet

Provides intelligent code analysis, validation, and documentation for Zig, leveraging a fine-tuned LLM and the official Zig compiler.

NSE BSE

Provides a Model Context Protocol server for real-time and historical data from NSE and BSE India stock market APIs via Streamable HTTP.

Hmem

Provides AI agents with persistent, hierarchical memory, preventing loss of context and duplicated work across sessions.

Fava Trails

Establishes a versioned, auditable memory system for AI agents, leveraging a Version Control System (VCS) through the Model Context Protocol (MCP).

Token Compressor

Reduces LLM token usage by semantically compressing prompts while preserving meaning and core constraints.