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MCP Servers
Search 284 episodes of Lenny's Podcast transcripts directly from Claude. Get instant access to product wisdom from guests like Shreyas Doshi, Julie Zhuo, Brian Chesky, and hundreds more.
A Model Context Protocol (MCP) server that enables AI assistants to securely search, analyze, and validate Splunk queries with built-in safety guardrails.
A Model Context Protocol (MCP) server for managing Memory Banks, allowing AI assistants to store and retrieve information across sessions. Now with remote server support!
Turn any documentation into an AI-searchable knowledge base. Feed it markdown, HTML, PDFs, web pages, or plain text — publish to a database and let anyone on your team query it through AI tools like...
The Beancount MCP Server is an experimental implementation of the Model Context Protocol (MCP) designed to interface with Beancount ledger files.
I'm not quite sure this works as is 😂 You may need to ask the model you're working with to clean it up:
A Model Context Protocol (MCP) server for SAP GUI automation. This server provides tools to automate interactions with SAP GUI, enabling programmatic control of SAP transactions.
This book is part of the "The Only Book You'll Need On..." series and provides complete coverage of the Model Context Protocol with examples in - making it accessible to over 30 million developers...
- Refactored the entire codebase to standardize resource/tool structure, completely removed the content-metadata resource, and merged metadata into the page resource.
This project includes code originally developed by Anthropic and released under the MIT License. Substantial modifications and new functionality have been added by For Good AI Inc. (dba Zencoder Inc.
This repository is no longer maintained. The official Microsoft server provides better support, ongoing maintenance, and the latest features.
61 MCP Tools 5 MCP Resources 74 Device Models 151 Modules 15 Cable Types
Agent Skills
Deploy any Agent as an API via POST /run . The open, multi-model runtime for AI agents — works with any LLM, on any infrastructure.
Together they produce a structured Markdown test plan and a findings report with 10-state verdicts and an explicit SUT / harness / checker / environment blame classification.
A multi-agent marathon simulation built with Google ADK and Gemini. AI agents plan a marathon route through Las Vegas, simulate the environment around it (weather, traffic, crowds), and run the race...
An agent skill for managing isolated execution environments
mim·e·o — to reproduce, to copy, to imitate.
ProductSpec is the open standard for product intent. It acts as a Product Harness for AI-native software work: what to build, what not to build, how to prove completion, and when intent changes.
Main Agent spawns Subagents like a hen with her chicks 🐔🪺🐦
交互地图 · 每日时间轴 · 出发前订票提醒 · 行前须知 · 待选航班 · 片区价位酒店
Part of the NVIDIA Cosmos project family — the training and serving framework repository.
Science Superpowers is a complete computational-science methodology for your research agents, built on a set of composable skills plus initial instructions that make sure your agent actually uses...
Guides and production-ready commands for Claude Code: skills, subagents, hooks, memory, custom commands, and conversation-history tooling.
is a config-driven dev tool for Elixir projects that manages your AGENTS.md file and agent skills from dependencies. It: