# How to integrate Corrently MCP with Autogen

```json
{
  "title": "How to integrate Corrently MCP with Autogen",
  "toolkit": "Corrently",
  "toolkit_slug": "corrently",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/corrently/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/corrently/framework/autogen.md",
  "updated_at": "2026-05-12T10:07:39.206Z"
}
```

## Introduction

This guide walks you through connecting Corrently to AutoGen using the Composio tool router. By the end, you'll have a working Corrently agent that can log your household's latest electricity reading, forecast solar output for your address tomorrow, update co₂ meter with last week's consumption through natural language commands.
This guide will help you understand how to give your AutoGen agent real control over a Corrently account through Composio's Corrently MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Corrently with

- [OpenAI Agents SDK](https://composio.dev/toolkits/corrently/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/corrently/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/corrently/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/corrently/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/corrently/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/corrently/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/corrently/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/corrently/framework/cli)
- [Google ADK](https://composio.dev/toolkits/corrently/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/corrently/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/corrently/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/corrently/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/corrently/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/corrently/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the required dependencies for Autogen and Composio
- Initialize Composio and create a Tool Router session for Corrently
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Corrently tools
- Run a live chat loop where you ask the agent to perform Corrently operations

## What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.
Key features include:
- Multi-Agent Systems: Build collaborative agent workflows
- MCP Workbench: Native support for Model Context Protocol tools
- Streaming HTTP: Connect to external services through streamable HTTP
- AssistantAgent: Pre-built agent class for tool-using assistants

## What is the Corrently MCP server, and what's possible with it?

The Corrently MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Corrently account. It provides structured and secure access so your agent can perform Corrently operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CORRENTLY_CO2_METER_UPDATE_READING` | CO₂ Meter Update | Tool to create or update a CO₂ meter reading for emissions tracking. Use when sending new or updated electricity consumption readings to Corrently. |
| `CORRENTLY_COMMIT_QUITTUNG` | Commit Strom-Quittung | Tool to finalize a Strom-Quittung (electricity receipt) after collecting transaction data. Use after gathering seller, buyer, and transaction details to create the final receipt. |
| `CORRENTLY_GEOCODE_LOCATION` | Geocode Location | Tool to geocode a free-text location into coordinates. Use when you need latitude and longitude from a place name. |
| `CORRENTLY_GET_ENERGY_SCHEDULE` | Energy Schedule Computation | Create an optimized operation schedule for energy-consuming devices based on the GrünstromIndex (Green Power Index). This tool determines the best time slots to run energy-intensive devices (heat pumps, EV chargers, etc.) by analyzing regional renewable energy availability, electricity prices, and CO2 emissions forecasts. Use this after collecting: - German postal code (required for regional data) - Desired optimization goal (price, co2, or comfort) - Number of hours the device needs to run |
| `CORRENTLY_GET_METERING_READING` | Get Metering Reading | Tool to retrieve metered electricity reading with green/grey energy split and CO2 emissions data. Use when you need to check current meter readings or analyze energy consumption patterns for a Stromkonto. |
| `CORRENTLY_GET_STROMKONTO_BALANCES` | Get Stromkonto Balances | Retrieve Stromkonto account balances from the energy blockchain ledger. Stromkonto is a ledger for green energy related transactions backed by Energychain blockchain to provide consensus of balances and transactions. Returns balance details across multiple sub-account types (green power bonus, generation, self-consumption, carbon offset, trees planted). |
| `CORRENTLY_GET_STROMKONTO_CHOICES` | Get Stromkonto Choices | Tool to get selectable contract choices for a Stromkonto customer. Use when you need to retrieve available balance and transaction options for an account. |
| `CORRENTLY_GET_WIM_PROCESS_STATUS` | Get WiM Process Status | Retrieve status information for WiM (Wechselprozesse im Messwesen) metering change processes. WiM processes handle meter changes and allocation workflows in the German electricity system. Use this tool to check the current status of ongoing or completed metering change processes, track process progress, or verify when a WiM process was initiated. |
| `CORRENTLY_GRUNSTROM_INDEX_FORECAST` | GrünstromIndex Forecast | Tool to retrieve hourly green power forecast and CO2 data. Use after obtaining the user API key. |
| `CORRENTLY_GSI_BEST_HOUR` | GSI Best Hour | Determines if now is the best time to turn on a device based on regional green energy (GrünstromIndex) forecasts in Germany. Returns true if the current hour has high renewable energy availability within the specified timeframe, false if waiting would be more sustainable. |
| `CORRENTLY_LOGIN_STROMKONTO` | Login to Stromkonto | Tool to initiate login to Stromkonto via email. Use when authenticating a user with their email address. |
| `CORRENTLY_MARKET_DATA` | Electricity Market Data | Retrieve real-time and forecast electricity pricing data for Germany by postal code (Postleitzahl). Returns wholesale market prices (EUR/MWh) and localized prices for specific grid areas. Data is provided in time intervals with timestamps in milliseconds since Unix epoch. Use this tool when you need current or forecasted electricity prices for energy optimization, cost analysis, or smart grid applications in Germany. |
| `CORRENTLY_PHEV_NAVIGATOR` | PHEV Navigator | Tool to get PHEV charge-or-fuel recommendation for German locations. Compares real-time fuel prices at nearby stations with electricity costs to recommend whether charging or fueling is more economical and eco-friendly. Requires a German postal code (PLZ). |
| `CORRENTLY_POST_METERING_READING` | Post Metering Reading | Tool to post a meter reading and get it decorated with green/grey energy split. Use when you need to split consumption readings into green power (1.8.1) and grey power (1.8.2) according to the local GreenPowerIndex value. |
| `CORRENTLY_PREPARE_RECEIPT_DATA` | Prepare Receipt Data | Tool to collect data for a receipt before finalizing. During the first call, an account parameter will be returned. Use this when you need to incrementally build receipt data through multiple requests. Call without an account parameter first to create a new session, then use the returned account identifier in subsequent calls to add more data. |
| `CORRENTLY_PV_GENERATION_GET_FORECAST` | PV Generation Forecast | Get hourly solar PV generation forecasts for a German location. Returns predicted energy output in watt-hours (Wh) for each hour over the specified forecast period. Use this tool when you need to optimize energy scheduling, estimate solar production, or plan energy storage based on expected PV generation. |
| `CORRENTLY_REGISTER_STROMKONTO` | Register Stromkonto Account | Tool to register a new Stromkonto energy account in the Corrently system. Use when creating a new account with email, name, and location details. All balances are initialized to zero upon registration. |
| `CORRENTLY_RENEWABLE_ENERGY_DISPATCH` | Renewable Energy Dispatch | Tool to get renewable energy flow and mix for a German ZIP code. Use when you need import/export and dispatch sources/destinations breakdown. |
| `CORRENTLY_STROMMIX` | Electricity Generation Mix | Tool to retrieve real-time electricity generation mix in Germany. Use when you need the current breakdown of generation by source. |
| `CORRENTLY_TARIFF_COMPONENTS` | Tariff Components | Retrieve detailed German electricity tariff cost breakdown by postal code. Returns comprehensive cost components including: - Grundgebühr (base monthly fee) - Arbeitspreis (energy price per kWh) - Network fees (Netznutzungsentgelt) - Taxes (Stromsteuer, Mehrwertsteuer) - Levies (EEG, KWKG, Offshore-Netzumlage) - Renewable energy credits Use this tool to understand electricity pricing transparency in Germany. |
| `CORRENTLY_TARIFF_SLPH0` | Standard Load Profile Tariff SLPH0 | Tool to retrieve standard load profile H0 tariff information. Use after providing a German postal code to get local SLPH0 tariffs. |
| `CORRENTLY_WEATHER_FORECAST` | Weather Forecast | Tool to retrieve hourly weather forecasts (wind speed and UV index) by geographic coordinates. Use when you need wind and UV data for a specific location. Returns up to 5 days of hourly forecasts. |
| `CORRENTLY_WIM_STATUS` | TyDID Consent Status | Check TyDID consent/grant status for an SSI (Self-Sovereign Identity). This tool queries the Corrently TyDID API to verify whether a given Ethereum-based identity has granted consent or if the consent has been revoked. Use cases: - Verify user consent before processing data - Check if a user has revoked access to their data - Monitor consent status changes in blockchain-based identity systems |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Corrently MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Corrently. Instead of manually wiring Corrently APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Corrently account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

Install Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Corrently via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

Create a .env file in your project folder.
What's happening:
- COMPOSIO_API_KEY is required to talk to Composio
- OPENAI_API_KEY is used by Autogen's OpenAI client
- USER_ID is how Composio identifies which user's Corrently connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Corrently tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Corrently session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["corrently"]
    )
    url = session.mcp.url
```

### 5. Configure MCP parameters for Autogen

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.
What's happening:
- url points to the Tool Router MCP endpoint from Composio
- timeout is the HTTP timeout for requests
- sse_read_timeout controls how long to wait when streaming responses
- terminate_on_close=True cleans up the MCP server process when the workbench is closed
```python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Corrently tools from the workbench
```python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Corrently assistant agent with MCP tools
    agent = AssistantAgent(
        name="corrently_assistant",
        description="An AI assistant that helps with Corrently operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Corrently tools to call via MCP
- agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
- Typing exit, quit, or bye ends the loop
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Corrently related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Corrently session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["corrently"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Corrently assistant agent with MCP tools
        agent = AssistantAgent(
            name="corrently_assistant",
            description="An AI assistant that helps with Corrently operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Corrently related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

## Conclusion

You now have an Autogen assistant wired into Corrently through Composio's Tool Router and MCP. From here you can:
- Add more toolkits to the toolkits list, for example notion or hubspot
- Refine the agent description to point it at specific workflows
- Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Corrently, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Corrently MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/corrently/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/corrently/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/corrently/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/corrently/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/corrently/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/corrently/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/corrently/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/corrently/framework/cli)
- [Google ADK](https://composio.dev/toolkits/corrently/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/corrently/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/corrently/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/corrently/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/corrently/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/corrently/framework/crew-ai)

## Related Toolkits

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- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agentql](https://composio.dev/toolkits/agentql) - Agentql is a toolkit that connects AI agents to the web using a specialized query language. It enables structured web interaction and data extraction for smarter automations.
- [Agenty](https://composio.dev/toolkits/agenty) - Agenty is a web scraping and automation platform for extracting data and automating browser tasks—no coding needed. It streamlines data collection, monitoring, and repetitive online actions.
- [Ambee](https://composio.dev/toolkits/ambee) - Ambee is an environmental data platform providing real-time, hyperlocal APIs for air quality, weather, and pollen. Get precise environmental insights to power smarter decisions in your apps and workflows.
- [Ambient weather](https://composio.dev/toolkits/ambient_weather) - Ambient Weather is a platform for personal weather stations with a robust API for accessing local, real-time, and historical weather data. Get detailed environmental insights directly from your own sensors for smarter apps and automations.
- [Anonyflow](https://composio.dev/toolkits/anonyflow) - Anonyflow is a service for encryption-based data anonymization and secure data sharing. It helps organizations meet GDPR, CCPA, and HIPAA data privacy compliance requirements.
- [Api ninjas](https://composio.dev/toolkits/api_ninjas) - Api ninjas offers 120+ public APIs spanning categories like weather, finance, sports, and more. Developers use it to supercharge apps with real-time data and actionable endpoints.
- [Api sports](https://composio.dev/toolkits/api_sports) - Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots.
- [Apify](https://composio.dev/toolkits/apify) - Apify is a cloud platform for building, deploying, and managing web scraping and automation tools called Actors. It lets you automate data extraction and workflow tasks at scale—no infrastructure headaches.
- [Autom](https://composio.dev/toolkits/autom) - Autom is a lightning-fast search engine results data platform for Google, Bing, and Brave. Developers use it to access fresh, low-latency SERP data on demand.
- [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance.
- [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows.
- [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses.
- [Bitquery](https://composio.dev/toolkits/bitquery) - Bitquery is a blockchain data platform offering indexed, real-time, and historical data from 40+ blockchains via GraphQL APIs. Get unified, reliable access to complex on-chain data for analytics, trading, and research.
- [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction.
- [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation.
- [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Corrently MCP?

With a standalone Corrently MCP server, the agents and LLMs can only access a fixed set of Corrently tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Corrently and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Autogen?

Yes, you can. Autogen fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Corrently tools.

### Can I manage the permissions and scopes for Corrently while using Tool Router?

Yes, absolutely. You can configure which Corrently scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Corrently data and credentials are handled as safely as possible.

---
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