Data Science & ML MCP 서버

Microsoft Planner

Connects large language models to live Microsoft Planner data, enabling natural language querying without SQL.

Quickbase

Facilitates connecting large language models to live Quickbase data through a Model Context Protocol (MCP) server.

AgenticAI

Facilitates experimentation with LangChain, LLM-powered agents, and autonomous AI workflows through practical implementations and prototypes.

Octave

Enables non-interactive execution of Octave scripts via the Model Context Protocol (MCP).

CodeNavigator

Provides comprehensive code analysis, navigation, and quality assessment across over 25 programming languages for various development workflows.

Famulor

Integrates the Famulor Voice Agent Platform with MCP-compatible clients to enable AI-powered phone calls, voice assistant management, and call data retrieval.

Nodal

Provides a local, Rust-based vector database specifically designed for source code, including an integrated MCP server for intelligent code search and analysis.

Agent Framework

Orchestrates AI agents at scale, enabling seamless context sharing, communication, and integration for enhanced collaboration.

iMessage Max

Enables AI assistants to read, search, and send iMessages with robust context and contact resolution.

Fred

Connect to the Fred database to query and explore economic data.

Reflexive Thematic Analysis

Augments qualitative coding for Braun & Clarke's Reflexive Thematic Analysis, enabling structured AI-assisted interpretation while preserving researcher authority.

Echo

Provides AI agents with persistent, contextual long-term memory, bridging stateless LLMs with local SQLite persistence for automated cross-session architectural context and project preferences.

Hi

Provides a unified notification system for AI agents requiring human interaction to streamline agentic workflows.

Memento Protocol

Provides AI agents with persistent, structured memory, enabling them to recall and learn across sessions.

Music Assistant

Integrate Music Assistant's music search, library browsing, playback control, queue management, and playlist curation with AI assistants.

Atlas

Orchestrates universal multi-agent systems, providing an infrastructure layer for interoperability, auditability, and production readiness for autonomous AI agents.

Claude Memory

Preserves context and knowledge across Claude Code sessions, preventing loss of architectural decisions, code changes, and bug fixes.

Request

Optimizes web and API data to significantly reduce token consumption for Large Language Models.

Specter-Tree

Optimizes AI coding agent token usage by providing structural code context for TypeScript projects.

Feishu Claude

Integrates local Claude Code with Feishu bots to enable conversational AI within Feishu workspaces.