Prepare the server locally
Run this once before adding it to Claude Code.
git clone https://github.com/Arnie936/Agentic-MCP
cd Agentic-MCPThen follow the repository README for any remaining dependency or build steps.
Register it in Claude Code
claude mcp add agentic-mcp -- uv --directory /path/to/calculator_server run server.pyReplace any placeholder paths in the command with the real path on your machine.
Make your agent remember this setup
agentic-mcp's config, env vars, and the gotchas you hit — recalled in every future Claude Code, Cursor, and Codex session.
npx conare@latestFree · one command · indexes the sessions already on disk. Set up in the browser instead →
What it does
- Basic arithmetic calculation tools
- n8n webhook integration for external workflows
- Access to a customer support playbook resource
- Prompt templates for webinar transcript conversion
Tools 2
CalculatorPerforms basic arithmetic operations including addition, subtraction, multiplication, and division.send_to_webhookSends a text prompt to a configured n8n workflow and returns the response.Try it
Original README from Arnie936/Agentic-MCP
MCP All-in-One Server
This is a versatile MCP server that demonstrates multiple capabilities of the Model Context Protocol (MCP). It provides tools for calculation, external integrations (webhooks), resources for context, and prompt templates.
Capabilities
🧮 Tools
Functions that the AI can execute:
- Calculator: Basic arithmetic operations (
add,subtract,multiply,divide). - Webhook Integration:
send_to_webhook- Sends a text prompt to a configured n8n workflow and returns the response.
📚 Resources
Contextual data the AI can read:
support://playbook: A full Customer Support Playbook containing company overview, tone rules, product details, and standard operating procedures.
📝 Prompts
Templates to structure AI interactions:
webinar_to_blog: A structured prompt template to convert webinar transcripts into engaging blog posts.
Prerequisites
- Python 3.10+
- uv: A fast Python package installer and resolver.
- Windows:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" - macOS/Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
- Windows:
- Node.js & npm (optional, for the MCP Inspector)
Setup
- Open your terminal in this directory (
calculator_server). - Initialize the project (if you haven't already):
uv init - Add the required dependencies:
uv add "mcp[cli]" httpx
Running the Server
You can run the server directly using uv:
uv run server.py
Note: This will use stdio for communication, so it will expect input from stdin and won't show much output in the console unless connected to an MCP client.
Testing with MCP Inspector
To test the server using the MCP Inspector (a web-based tool to interact with your server):
npx @modelcontextprotocol/inspector uv run server.py
This will launch the inspector in your browser. You can:
- Tools: Test the calculator and webhook tools.
- Resources: View the content of
support://playbook. - Prompts: Execute the
webinar_to_blogtemplate.
Integration with Claude Desktop
To use this server with Claude for Desktop:
Open your Claude Desktop configuration file:
- Windows:
%APPDATA%\Claude\claude_desktop_config.json - macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
Add the server configuration. You can copy the content from
claude_desktop_config.jsonin this directory:{ "mcpServers": { "calculator": { "command": "uv", "args": [ "--directory", "C:\\Users\\Your_Name\\Desktop\\mcps\\calculator_server", "run", "server.py" ] } } }Important: Make sure the path in
--directorymatches the actual absolute path to yourcalculator_serverfolder.Restart Claude for Desktop.