Agencii Deployment

v1.0.0Developer Toolsstable

MCP server for agencii mcp tools deployment template

agencii-mcp-tools-deployment-templatemcpai-integration
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What is Agencii Deployment?

Agencii Deployment is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for agencii mcp tools deployment template

MCP server for agencii mcp tools deployment template

This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP server for agencii mcp tools deployment template

Use Cases

Deploy agencii MCP tools using the provided template.
LicenseMIT
Languagepython
Versionv1.0.0
UpdatedJan 15, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx agencii-mcp-tools-deployment-template

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Agencii Deployment

The Agencii MCP Tools Deployment Template is a Python-based framework for rapidly creating and deploying custom MCP servers by chatting with AI IDEs instead of writing boilerplate code. It supports single-endpoint, combined, and multi-endpoint deployment modes, and can wrap existing stdio MCP servers and expose them over SSE. Developers and AI teams use it to spin up fully custom tool endpoints — locally or on platforms like Railway — without needing to hand-code server infrastructure.

Prerequisites

  • Python 3.10 or higher and pip installed
  • Node.js and npx if you plan to incorporate stdio-based MCP packages via mcp.json
  • An MCP-compatible client such as Claude Desktop or Claude Code
  • A Railway, Fly.io, or similar cloud account if deploying remotely (optional)
1

Clone the template repository

Clone the Agencii MCP deployment template and navigate into the project directory.

git clone https://github.com/agency-ai-solutions/agencii-mcp-tools-deployment-template.git
cd agencii-mcp-tools-deployment-template
2

Create and activate a virtual environment

Set up an isolated Python environment for the project.

python -m venv venv
source venv/bin/activate
3

Configure environment variables

Set the key environment variables to control the tools directory, server address, port, and deployment mode.

export MCP_TOOLS_DIR=./tools
export MCP_HOST=0.0.0.0
export MCP_PORT=8080
export MCP_INSTANCE_NAME=my-mcp-instance
4

Start the MCP server

Run the server in single-directory mode (root /sse endpoint) or multi-endpoint mode for separate tool subdirectories.

# Single endpoint
python server/start_mcp.py

# Separate endpoints per tools subdirectory
python server/start_mcp.py --split-subdirs
5

Add pre-built MCP servers via mcp.json

Optionally configure existing stdio MCP servers in the mcp.json file to expose them alongside your custom tools via supergateway.

# mcp.json example:
{
  "notionapi": {
    "command": "npx",
    "args": ["-y", "@notionhq/notion-mcp-server"],
    "env": { "OPENAPI_MCP_HEADERS": "..." }
  }
}

Agencii Deployment Examples

Client configuration

Connect Claude Desktop to a locally running Agencii MCP server on port 8080.

{
  "mcpServers": {
    "agencii-mcp": {
      "command": "python",
      "args": ["/path/to/agencii-mcp-tools-deployment-template/server/start_mcp.py"],
      "env": {
        "MCP_TOOLS_DIR": "/path/to/agencii-mcp-tools-deployment-template/tools",
        "MCP_HOST": "127.0.0.1",
        "MCP_PORT": "8080"
      }
    }
  }
}

Prompts to try

Example instructions to generate or use tools through the AI IDE chat interface.

- "Create a tool that fetches YouTube transcripts and returns the text"
- "Add a tool that searches the local filesystem for files matching a pattern"
- "List all available tools on the MCP server"
- "Deploy my tools to Railway and give me the SSE endpoint URL"

Troubleshooting Agencii Deployment

Server starts but no tools are exposed

Check that the MCP_TOOLS_DIR points to a directory containing valid tool Python files. Use --include-subdir if your tools are in subdirectories and you want them all at the root endpoint.

Port 8080 is already in use

Set a different port with: export MCP_PORT=8081, then restart the server.

Pre-built stdio servers in mcp.json are not accessible

Ensure supergateway is available and the referenced npx packages can be resolved. Run npx -y <package-name> manually to confirm the package downloads without error.

Frequently Asked Questions about Agencii Deployment

What is Agencii Deployment?

Agencii Deployment is a Model Context Protocol (MCP) server that mcp server for agencii mcp tools deployment template It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Agencii Deployment?

Follow the installation instructions on the Agencii Deployment GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Agencii Deployment?

Agencii Deployment works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Agencii Deployment free to use?

Yes, Agencii Deployment is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Developer Tools MCP Servers

Explore all developer tools servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "agencii-mcp-tools-deployment-template": { "command": "npx", "args": ["-y", "agencii-mcp-tools-deployment-template"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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