Getting Started with Agensi MCP (v1.0.1)
Quickstart guide to connect your AI agent to the Agensi marketplace via Model Context Protocol (MCP).
Free
Works with the AI tools you already use
See it in action
You say
I want to get started with Agensi skills that use MCP. Please walk me through setting it up for my current agent (I use Grok Build on Windows).
Your agent does
Setup Summary
I've identified that you're using Grok Build on Windows.
Here's what you need to do:
- Copy the
mcp/folder from this skill toC:\Tools\agensi-mcp - Create a
.envfile and add yourAGENSI_API_KEY(optional for now) - Create
config.jsonfrom the example and point it at your skill folders - Add the following to your
~/.grok/mcp.json:{ "mcpServers": { "agensi": { "command": "python", "args": ["C:/Tools/agensi-mcp/proxy.py"], "env": { "AGENSI_CONFIG": "C:/Tools/agensi-mcp/config.json" } } } } - Restart Grok Build completely.
Once done, ask me: "Can you see the Agensi MCP server?" to verify.
About this skill
What it does
The Agensi MCP Setup guide is an essential onboarding skill designed to bridge the gap between your local AI agent and the Agensi marketplace. It provides a structured, developer-friendly workflow to configure the Model Context Protocol (MCP), enabling your agent to search, evaluate, and integrate marketplace skills directly into your workspace.
Problem it solves
Setting up MCP connections manually can be friction-heavy, involving environment variables, absolute path configurations, and agent-specific formatting. This skill automates the mental overhead, moving you from a "standalone" agent to a "connected" agent that can discover and leverage the entire Agensi ecosystem without leaving the terminal.
Supported tools
- AI Agents: Claude Code, Cursor, Grok Build, Gemini CLI, and Codex CLI.
- Protocols: Stdio-based Model Context Protocol (MCP).
- Environments: Python 3.10+ (Cross-platform support for Windows, macOS, and Linux).
Why use this skill
Instead of wrestling with connection strings and config files, this skill provides a standardized "Agent Operating Procedure." It ensures your environment is verified and your marketplace credentials are correctly mapped, preventing common pitfalls like relative path errors or missing environment variables that break downstream automation.
The Output
Upon completion, you will have a live, verified connection to the Agensi marketplace proxy. Your agent will gain the immediate ability to run discovery tools like the 'Free Skill Explorer' and pull high-quality, task-specific skills directly into your active development context.
Changelog
- v1.1LatestMay 18, 2026
Updated skill file
- v1.0.0May 18, 2026
Initial release
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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