#sam

Intelligent Data Analysis & Reporting Agent

A Model Context Protocol server for generating DecentSampler drum kit configurations.

MCP Server implementation with AWS Serverless services.

Test repository created using Claude Desktop and MCP server integration

MCP Server Sample

This is a sample local MCP server.

A sample MCP server

MCP Server in C# .NET

An AI-driven MCP server that autonomously interfaces with Malware Bazaar, delivering real-time threat intel and sample metadata for authorized cybersecurity research workflows.

A comprehensive Model Context Protocol (MCP) server that integrates Sunsama's daily planning and task management capabilities into AI assistants. Provides full CRUD operations for tasks, enabling automated workflow management and productivity optimization through the Sunsama API. Key features: Task Management: Create, read, update, and delete tasks with notes, time estimates, due dates, and stream assignments Daily Planning: View tasks by specific day with completion filtering and access backlog tasks Task Operations: Mark tasks complete with custom timestamps, reschedule tasks, or move items to backlog User & Organization: Access user profile, timezone, group details, and stream/channel management Flexible Transport: Supports both stdio and HTTP stream MCP transports Easy Setup: Use directly with npx mcp-sunsama or install locally for development Perfect for building AI-powered productivity workflows, automated task management, and custom interfaces that sync with your Sunsama workspace.

Professional MCP server for OpenAlex academic research - ML-powered author disambiguation, institution resolution, and comprehensive researcher profiles with ORCID integration Transform your AI assistant into a powerful academic research tool! This MCP server provides seamless access to OpenAlex's comprehensive database of 200+ million scholarly works and researchers. Features include intelligent author disambiguation using machine learning, automatic institution name expansion (MIT → Massachusetts Institute of Technology), ORCID-verified researcher profiles, and detailed academic metrics. Perfect for researchers, academics, and developers working with scholarly data.

A professional MCP server for academic research using OpenAlex.org API. Provides ML-powered author disambiguation, institution resolution, ORCID integration, scholarly work search, and research topic analysis. Perfect for academic research, literature reviews, and author identification tasks.

These tools are used to query sample-related information within the foundational network data set. Currently, this includes access to sandbox analysis data.

MCP Server Examples: Built using pure MCP Java SDK – No Spring Framework Required