From b3eebfbf3a7d6a1cd02fb977b791d2e45279d7f0 Mon Sep 17 00:00:00 2001 From: sgclasher Date: Mon, 20 Apr 2026 15:53:52 -0700 Subject: [PATCH 1/2] Add Agent Blueprint MCP server to Coding Agents 8 MCP tools for exploring and downloading AI agent blueprints as Agent Skills directories. Published on npm as `agentblueprint`, listed on the Official MCP Registry. Co-Authored-By: Claude Opus 4.6 (1M context) --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 3b79332b..3e1f53dd 100644 --- a/README.md +++ b/README.md @@ -432,6 +432,7 @@ Code execution servers. Allow LLMs to execute code in a secure environment, e.g. Full coding agents that enable LLMs to read, edit, and execute code and solve general programming tasks completely autonomously. +- [agent-blueprint/mcp-server](https://github.com/agent-blueprint/mcp-server) 📇 ☁️ - 8 MCP tools for exploring and downloading AI agent blueprints. List blueprints, get summaries, download full Agent Skills directories for implementation by coding agents. Vendor-agnostic output works with any enterprise platform. Install: `npx agentblueprint`. - [agentic-mcp-tools/owlex](https://github.com/agentic-mcp-tools/owlex) 🐍 🏠 🍎 🪟 🐧 - AI council server: query CLI agents (Claude Code, Codex, Gemini, and OpenCode) in parallel with deliberation rounds - [alpadalar/netops-mcp](https://github.com/alpadalar/netops-mcp) 🐍 🏠 - Comprehensive DevOps and networking MCP server providing standardized access to essential infrastructure tools. Features network monitoring, system diagnostics, automation workflows, and infrastructure management with AI-powered operational insights. - [askbudi/roundtable](https://github.com/askbudi/roundtable) 🐍 🏠 - Zero-configuration MCP server that unifies multiple AI coding assistants (Claude Code, Cursor, Codex) through intelligent auto-discovery and standardized interface. Essential infrastructure for autonomous agent development and multi-AI collaboration workflows. From 16b6b876c81ae11daf22a6f9f4b6386876eaf1ba Mon Sep 17 00:00:00 2001 From: sgclasher Date: Fri, 24 Apr 2026 16:51:13 -0700 Subject: [PATCH 2/2] Add Glama score badge --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 3e1f53dd..a7f949ea 100644 --- a/README.md +++ b/README.md @@ -432,7 +432,7 @@ Code execution servers. Allow LLMs to execute code in a secure environment, e.g. Full coding agents that enable LLMs to read, edit, and execute code and solve general programming tasks completely autonomously. -- [agent-blueprint/mcp-server](https://github.com/agent-blueprint/mcp-server) 📇 ☁️ - 8 MCP tools for exploring and downloading AI agent blueprints. List blueprints, get summaries, download full Agent Skills directories for implementation by coding agents. Vendor-agnostic output works with any enterprise platform. Install: `npx agentblueprint`. +- [agent-blueprint/mcp-server](https://github.com/agent-blueprint/mcp-server) [![agent-blueprint/mcp-server MCP server](https://glama.ai/mcp/servers/agent-blueprint/mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/agent-blueprint/mcp-server) 📇 ☁️ - 8 MCP tools for exploring and downloading AI agent blueprints. List blueprints, get summaries, download full Agent Skills directories for implementation by coding agents. Vendor-agnostic output works with any enterprise platform. Install: `npx agentblueprint`. - [agentic-mcp-tools/owlex](https://github.com/agentic-mcp-tools/owlex) 🐍 🏠 🍎 🪟 🐧 - AI council server: query CLI agents (Claude Code, Codex, Gemini, and OpenCode) in parallel with deliberation rounds - [alpadalar/netops-mcp](https://github.com/alpadalar/netops-mcp) 🐍 🏠 - Comprehensive DevOps and networking MCP server providing standardized access to essential infrastructure tools. Features network monitoring, system diagnostics, automation workflows, and infrastructure management with AI-powered operational insights. - [askbudi/roundtable](https://github.com/askbudi/roundtable) 🐍 🏠 - Zero-configuration MCP server that unifies multiple AI coding assistants (Claude Code, Cursor, Codex) through intelligent auto-discovery and standardized interface. Essential infrastructure for autonomous agent development and multi-AI collaboration workflows.