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Flex MCP Agent

@MahithChigurupati

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

MahithChigurupati

About Flex MCP Agent

Flex MCP Agent is an AI-powered agent designed to interface with MCP servers to process and resolve user queries. Simply configure it with MCP servers, and watch it scale effortlessly—no limits, no bottlenecks.

#flex-mcp-agent#ai-agent#mcp-integration

Flex MCP Agent config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "Flex-MCP-Agent": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

Flex MCP Agent tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Flex MCP Agent?

An agent that integrates weather data retrieval, Confluence interaction, and email sending. It uses a structured chat agent and the Model Context Protocol (MCP) to standardize interactions between the agent and various data sources.

How to use Flex MCP Agent?

Clone the repository, create a virtual environment, install dependencies from requirements.txt, copy and update config.example.json to config.json and .env.example to .env with required keys, start the weather server (mcp_weather_server.py) and email server (mcp_email_server.py), then run mcp_agent.py.

Key features of Flex MCP Agent

  • Fetches current weather data via the Open-Meteo API.
  • Sends emails using the SendGrid API.
  • Interacts with Confluence using available tools.
  • Uses a structured chat agent with LangChain and OpenAI.
  • Standardizes interactions via the Model Context Protocol (MCP).

Use cases of Flex MCP Agent

  • Fetch weather data for specified coordinates.
  • Send emails using a SendGrid API key.
  • Retrieve or update Confluence pages as user requests.
  • Provide a unified interface for multiple data sources.

Frequently asked questions

1

What environment variables are required?

`SENDGRID_API_KEY`, `FROM_EMAIL`, and `OPENAI_MODEL` must be set in the `.env` file.

2

How do I set up the Confluence server?

Clone the separate Git repository referenced by the author for the Confluence MCP server.

3

What runtime dependencies are needed?

Python packages: `langchain_mcp_adapters`, `langchain_openai`, `langchain`, `python-dotenv`, and `sendgrid`.

4

Can the agent handle custom queries?

Yes, it uses a structured chat agent to interpret user input and decide which tool to call.

5

What transport methods are available for MCP?

The configuration file `config.example.json` supports customizable URLs and transport methods, but specific transport types are not explicitly documented.

Comments

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