Getting Started with Agensi MCP (v1.0.1)
Quickstart guide to connect your AI agent to the Agensi marketplace via Model Context Protocol (MCP).
- 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
Free
Included in download
- Downloadable skill package
- Works with This skill is designed as a neutral, Gemini CLI
- 5 permissions declared
Sample input
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).
Sample output
## 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`: ```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.
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
Included in download
- Downloadable skill package
- Works with This skill is designed as a neutral, Gemini CLI
- 5 permissions declared
- Instant install
Sample input
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).
Sample output
## 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`: ```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
Known Limitations
• Exact MCP configuration format and file locations differ between agents (Grok, Gemini, Codex, Claude Code, etc.). • Some agents may require python3 instead of python. • Full marketplace features (live search, fetching published skills, etc.) require a valid AGENSI_API_KEY. • This skill only sets up the connection layer. It does not guarantee compatibility of every downstream skill with your specific agent. • The proxy currently has no built-in reconnection logic if the connection drops. (Different models have had different viewpoints upon adding a timeout, you can ask your model for further preferences, a suggested one is 30 seconds)
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/getting-started-with-agensi-mcp -o /tmp/getting-started-with-agensi-mcp.zip && unzip -o /tmp/getting-started-with-agensi-mcp.zip -d ~/.claude/skills && rm /tmp/getting-started-with-agensi-mcp.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Permissions
Allowed Hosts
File Scopes
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)
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.