# How to integrate Solcast MCP with LangChain

```json
{
  "title": "How to integrate Solcast MCP with LangChain",
  "toolkit": "Solcast",
  "toolkit_slug": "solcast",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/solcast/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/solcast/framework/langchain.md",
  "updated_at": "2026-03-29T06:51:13.235Z"
}
```

## Introduction

This guide walks you through connecting Solcast to LangChain using the Composio tool router. By the end, you'll have a working Solcast agent that can get solar irradiance forecast for sydney tomorrow, retrieve 7-day pv power forecast for berlin, summarize recent solar resource assessment for your site through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Solcast account through Composio's Solcast MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Solcast with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Connect your Solcast project to Composio
- Create a Tool Router MCP session for Solcast
- Initialize an MCP client and retrieve Solcast tools
- Build a LangChain agent that can interact with Solcast
- Set up an interactive chat interface for testing

## What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.
Key features include:
- Agent Framework: Build agents that can use tools and make decisions
- MCP Integration: Connect to external services through Model Context Protocol adapters
- Memory Management: Maintain conversation history across interactions
- Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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

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

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SOLCAST_GET_DATA_HISTORIC_RADIATION_AND_WEATHER` | Get Historic Radiation And Weather | Tool to get historical irradiance and weather estimated actuals for a requested location. Use when you need historical solar radiation and weather data from 2007-01-01 to 7 days ago, for up to 31 days at a time. |
| `SOLCAST_GET_RESOURCES_PV_POWER_SITE` | Get PV Power Resource | Tool to retrieve a specific PV power resource by its unique identifier. Use when you need to fetch complete resource configuration including capacity, orientation, tracking, and derating parameters. |
| `SOLCAST_GET_RESOURCES_PV_POWER_SITES` | Get Resources PV Power Sites | Tool to list PV power resources available to authenticated user. Use when you need to retrieve the list of PV power sites with optional filtering by entitlement level. |
| `SOLCAST_PATCH_RESOURCES_PV_POWER_SITE` | Patch PV Power Resource | Tool to partially update an existing PV power resource's technical specifications. Use when you need to modify specific resource configuration fields without replacing the entire resource. |
| `SOLCAST_CREATE_PV_POWER_RESOURCE` | Create PV Power Resource | Tool to create a new PV power resource for Advanced PV Power forecasting. Use when you need to add a new solar installation site with comprehensive technical specifications including capacity, orientation, tracking parameters, and derating factors. |
| `SOLCAST_UPDATE_PV_POWER_RESOURCE` | Update PV Power Resource | Tool to update an existing PV power resource with comprehensive technical specifications for solar installation site modeling. Use when you need to modify resource configuration including capacity, orientation, tracking parameters, derating factors, and bifacial system settings. |

## Supported Triggers

None listed.

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

The Solcast MCP server is an implementation of the Model Context Protocol that connects your AI agent to Solcast. It provides structured and secure access so your agent can perform Solcast operations on your behalf through a secure, permission-based interface.
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

No description provided.

### 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

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio's API
- COMPOSIO_USER_ID identifies the user for session management
- OPENAI_API_KEY enables access to OpenAI's language models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
```

### 5. Initialize Composio client

What's happening:
- We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
- Creating a Composio instance that will manage our connection to Solcast tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
```

```typescript
const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
```

### 6. Create a Tool Router session

What's happening:
- We're creating a Tool Router session that gives your agent access to Solcast tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
- This approach allows the agent to dynamically load and use Solcast tools as needed
```python
# Create Tool Router session for Solcast
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['solcast']
)

url = session.mcp.url
```

```typescript
const session = await composio.create(
    userId as string,
    {
        toolkits: ['solcast']
    }
);

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "solcast-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "solcast-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

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

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

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

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

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

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
```

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
```

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['solcast']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "solcast-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Solcast related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

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

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['solcast']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "solcast-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Solcast related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
```

## Conclusion

You've successfully built a LangChain agent that can interact with Solcast through Composio's Tool Router.
Key features of this implementation:
- Dynamic tool loading through Composio's Tool Router
- Conversation history maintenance for context-aware responses
- Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## How to build Solcast MCP Agent with another framework

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

## Related Toolkits

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- [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.
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- [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 Solcast MCP?

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

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

Yes, you can. LangChain 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 Solcast tools.

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

Yes, absolutely. You can configure which Solcast 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 Solcast data and credentials are handled as safely as possible.

---
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