wolfexplorer
wolfexplorer: a tool for visualization and exploration of complex multi-year multi-specimen datasets - Published in JOSS (2018)
gpt-researcher
LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.
https://github.com/bytedance/ui-tars-desktop
The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
basic-memory
AI conversations that actually remember. Never re-explain your project to Claude again. Local-first, integrates with Obsidian. Join our Discord: https://discord.gg/tyvKNccgqN
https://github.com/awslabs/mcp
AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.
https://github.com/deepset-ai/hayhooks
Easily deploy Haystack pipelines as REST APIs and MCP Tools.
fastapi-fastkit
<Open Source> Fast, easy-to-use starter kit for new users of Python and FastAPI
https://github.com/av/harbor
Effortlessly run LLM backends, APIs, frontends, and services with one command.
https://github.com/awslabs/nx-plugin-for-aws
The @aws/nx-plugin is a collection of code generators that automate the creation and configuration of cloud-native applications using AWS, TypeScript, Python and React within the Nx development ecosystem.
https://github.com/cafferychen777/gmail-mcp
Gmail automation via a Chrome extension + Model Context Protocol (MCP). Control Gmail from Claude Desktop. No API keys. Free.
https://github.com/assafelovic/gptr-mcp
MCP server for enabling LLM applications to perform deep research via the MCP protocol
https://github.com/gautierdag/bibextract
MCP tool to extract latex/bibtex from arvix source
llms-from-scratch
Build your own Large Language Model from scratch with this code repository. Learn the ins and outs of LLMs like GPT. 🚀💻
stata-mcp
Let LLM help you achieve your regression with Stata: AI-Powered Stata Code Generation & Regression Analysis.
https://github.com/anselmoo/mcp-ai-agent-guidelines
A Model Context Protocol (MCP) server offering professional tools and templates for hierarchical prompting, code hygiene, visualization, memory optimization, and agile planning.
context-savvy-mcp
A high-performance Model Context Protocol server that transforms Claude Desktop into a memory-enabled AI assistant with persistent context, secure command execution, and intelligent workflow automation.
https://github.com/anselmoo/mcp-server-analyzer
MCP server for Python code analysis with RUFF linting and VULTURE dead code detection
https://github.com/qax-os/excelize
Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
https://github.com/av/tools
Docker image for installing and running tools for LLM agents (MCP, OpenAPI, UVX, NPX, Python)
https://github.com/crowdstrike/falcon-mcp
Connect AI agents to CrowdStrike Falcon for automated security analysis and threat hunting
proxy-base-agent
A stateful agent with 100% reliable tool use. Build custom agents on any LLM with guaranteed state consistency.
https://github.com/copyleftdev/mcp_subfinder_server
Model Context Protocol (MCP) server that wraps ProjectDiscovery's subfinder tool for powerful subdomain enumeration through a JSON-RPC API.
smyth-docs
Everything you need to build, deploy, and collaborate with agents. Ride the llama, avoid the drama.
swaggertomcp
🔁 Convert Swagger/OpenAPI specs into Model Context Protocol (MCP) tool definitions for agentic AI compatibility.
https://github.com/awslabs/graphrag-toolkit
Python toolkit for building graph-enhanced GenAI applications
https://github.com/amberlee2427/nancy-brain
Nancy's RAG backend and HTTP API/MCP server connectors.
ipmentor
IPv4 networking toolkit with verified calculations for AI tutoring systems. MCP-enabled for cost-effective educational AI.
https://github.com/arvid-berndtsson/chess-mcp
A powerful chess engine and game server built with the Model Context Protocol (MCP). Play chess against AI, analyze positions, and integrate chess functionality into your AI applications.
https://github.com/copyleftdev/tundr
A high-performance optimization server implementing the Model Context Protocol (MCP) for mathematical optimization tasks, with a focus on Bayesian Optimization using Gaussian Processes. Designed for reliability, scalability, and ease of integration in production environments.
https://github.com/alondmnt/joplin-mcp
MCP server for the Joplin note taking app