Browsing: MCP

In my latest posts, about tool calling, exploring how AI agents decide which tool to use and how to use it. We saw how the model…

In this tutorial, we build an advanced workflow around Anthropic’s financial-services repository and reproduce its skill-driven architecture in pure Python. We begin by installing the required…

In this tutorial, we build and examine an OpenSpace workflow, progressing from environment setup and sparse repository cloning to live task execution, skill evolution, and MCP-based…

Meta released Astryx this week. It is an open-source design system, currently in Beta. The project grew inside Meta’s monorepo over eight years. Astryx is built…

import subprocess, sys def _pip_install(*pkgs): try: subprocess.run([sys.executable, “-m”, “pip”, “install”, “-q”, *pkgs], check=True) except Exception as e: print(f”(pip install skipped/failed for {pkgs}: {e})”) _HAVE_OPENAI = False…

Nous Research · Hermes Agent The Profile Builder, explained DEMOsimulation, not the live product Provider OpenRouter Nous Portal NVIDIA OpenAI-compatible (custom) Built-in toolsets Off → written…

. The functions had grown too long and the variable names made no sense anymore. Every time I wanted feedback on a file, I stopped, opened…

Nous Research’s open-source Hermes Agent now ships a Tool Search feature. It directly addresses a growing bottleneck in AI agent systems: too many MCP tools filling…

The Model Context Protocol has moved from Anthropic’s internal experiment to a de facto industry standard at a speed few integration protocols have matched. Since its…

class RoutedAgent: def __init__(self, server: MCPToolServer, router: HybridMCPRouter, model: str): self.server = server self.router = router self.model = model def discover_exposed_tools(self, exposed_tool_names: List[str]) -> List[Dict[str, Any]]:…