Data Science & ML MCP Servers

Shaka Packager

Integrates Shaka Packager with Claude AI applications, enabling video transcoding, packaging, and analysis.

AI Video Generator

Generates videos from text prompts and images using AI models.

Cursor Chat History

Enables searching of vectorized Cursor IDE chat history using LanceDB and a local LLM.

RootData

Integrates RootData API to provide cryptocurrency and blockchain project data queries.

Xrpl

Provides a Model Context Protocol (MCP) server implementation for interacting with the XRP Ledger blockchain.

Mcpc

Implements a cross-platform C SDK for the Model Context Protocol (MCP) using modern C23.

Garmin Connect

Enables interaction with the Garmin Connect API to manage user data.

Typescript Agent Framework

Provides a framework for building intelligent, interoperable serverless AI agents in TypeScript.

MedRxiv

Enables AI assistants to search and access health science preprints from medRxiv.

PatSnap

Collects patent-related information from PatSnap's API for trend analysis and reporting.

Sandbox Fusion

Enables large language models to execute code using a Machine Code Protocol server.

OpenDeepSearch

Conducts in-depth research on complex topics using iterative search and structured analysis.

YugabyteDB

Enables LLMs to interact with YugabyteDB by listing tables, schema, row counts, and running read-only SQL queries.

Fred

Provides access to Federal Reserve Economic Data (FRED) financial datasets via the Model Context Protocol.

Agentic Developer

Scales software development using controllable, recursive agent flows driven by OpenAI's Codex to build features from the ground up.

Youtube Summarizer

Exposes YouTube summarization APIs as tools compatible with the MCP (Meta-Control Protocol).

Server Directory

Discover and share Model Context Protocol servers for AI application development and integration.

ReAct Agent

Implements a ReAct agent using LangGraph and the Model Context Protocol (MCP) to provide tools and capabilities through a unified gateway.

Elasticsearch

Enables LLMs to manage indices and execute queries against Elasticsearch clusters.

Owl

Provides a simple server for managing OWL ontologies via a clean API.