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    Getting Started with Agensi MCP (v1.0.1)

    by Markus Isaksson

    Quickstart guide to connect your AI agent to the Agensi marketplace via Model Context Protocol (MCP).

    Updated May 2026
    0 installs

    Free

    One-time purchase

    Included in download

    • Downloadable skill package
    • Works with This skill is designed as a neutral, Gemini CLI
    • 5 permissions declared
    • Instant install

    Sample Output

    A real example of what this skill produces.

    Setup Summary

    I've identified that you're using Grok Build on Windows.

    Here's what you need to do:

    1. Copy the mcp/ folder from this skill to C:\Tools\agensi-mcp
    2. Create a .env file and add your AGENSI_API_KEY (optional for now)
    3. Create config.json from the example and point it at your skill folders
    4. 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"
            }
          }
        }
      }
      
    5. 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.

    Use Cases

    • Connect Claude Code or Cursor to the Agensi marketplace via MCP
    • Configure a local MCP proxy for Python-based agent environments
    • Verify marketplace connectivity and API key configuration
    • Unlock skill discovery and evaluation tools for your AI agent

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell
    Read Files
    Write Files
    Network Access
    Environment Variables

    Allowed Hosts

    mcp.agensi.io

    File Scopes

    agents/**
    mcp/**
    Your local skill directories (you choose which roots to include in the config)
    Configuration files you create during setup

    This skill ships a minimal, portable MCP proxy. It only needs to read your chosen skill folders and make outbound connections to the Agensi marketplace. It does not modify your skills or perform any actions without your explicit approval. The exact file access required can vary slightly depending on how you configure your skill roots. Tools Used • Terminal / Shell: Yes – Required to run the MCP proxy during setup and use. • Read Files: Yes – Reads configuration files and skill metadata during setup. • Write Files: Sometimes – Creates .env and config.json files during setup. • Browser: No • Network Access: Yes – Connects to the Agensi MCP server (mcp.agensi.io). Environment Variables • AGENSI_API_KEY (optional for basic local use; recommended for full marketplace features) • AGENSI_CONFIG (path to your configuration file)

    Documentation

    This skill is designed as a neutral, multi-agent on-ramp. The bundled MCP proxy is model-agnostic and should work with most MCP-compatible local agents that support stdio MCP servers, when properly configured. The current bundle has been developed primarily on Windows 11 and tested or drafted against Grok Build, Gemini CLI, Codex CLI, and Claude Code. Exact setup steps may need adaptation depending on each agent’s current MCP configuration format and your operating system.

    Frequently Asked Questions

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