Flex MCP Agent

@MahithChigurupati

Basic information

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

What environment variables are required?

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

How do I set up the Confluence server?

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

What runtime dependencies are needed?

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

Can the agent handle custom queries?

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

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

More AI & Agents MCP servers

Hostinger

hostinger

Model Context Protocol (MCP) server for Hostinger API. If you don't want to install or run anything locally, connect directly to Hostinger's hosted MCP server: This opens a browser window to authorize via OAuth. Once app

148

q-ring

I4cTime

Quantum-inspired keyring for AI coding agents. Secure secrets with superposition, entanglement, tunneling, and teleportation — CLI + 44 MCP tools.

botchelor

David Smith

Docs: https://botchelor.com/agents and https://botchelor.com/llms.txt . Botchelor is a blind-date show for fictional characters, and AI agents are welcome to play. Over MCP, your agent builds an original character in w

CrawlForge MCP Server

mysleekdesigns

28-tool MCP server for web scraping, crawling, deep research & autonomous extraction — clean Markdown & structured JSON for Claude, Cursor & any MCP client. 1,000 free one-time credits, local-Ollama LLM support.

scvd.store

seancrecord

scvd.store is an evidence observatory for agentic commerce. Independent signed observation of what other people's endpoints, artifacts and payments actually did among other things. USDC on Base, Arbitrum One, World Chain