# How to integrate Dock certs MCP with LangChain

```json
{
  "title": "How to integrate Dock certs MCP with LangChain",
  "toolkit": "Dock certs",
  "toolkit_slug": "dock_certs",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/dock_certs/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/dock_certs/framework/langchain.md",
  "updated_at": "2026-05-12T10:09:01.376Z"
}
```

## Introduction

This guide walks you through connecting Dock certs to LangChain using the Composio tool router. By the end, you'll have a working Dock certs agent that can list all credentials issued this month, delete a credential by its id, create a webhook for credential updates through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Dock certs account through Composio's Dock certs MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Dock certs with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Connect your Dock certs project to Composio
- Create a Tool Router MCP session for Dock certs
- Initialize an MCP client and retrieve Dock certs tools
- Build a LangChain agent that can interact with Dock certs
- 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 Dock certs MCP server, and what's possible with it?

The Dock certs MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dock certs account. It provides structured and secure access to your verifiable credentials and decentralized identity management, so your agent can perform actions like issuing credentials, managing API keys, retrieving credential details, and automating webhook notifications on your behalf.
- Instant credential issuance and management: Easily have your agent issue new verifiable credentials, retrieve detailed credential metadata, or delete outdated credentials as needed.
- Secure API key lifecycle management: Direct your agent to create, list, retrieve, or delete API keys, ensuring secure programmatic access for your organization.
- Automated webhook setup and oversight: Let your agent create or delete webhook endpoints, so you can receive real-time event notifications from Dock certs to your own systems.
- Credential retrieval and decryption: Ask your agent to fetch specific credentials by ID, with options for full retrieval if protected by a password, ensuring secure and flexible access.
- Tag and metadata cleanup: Enable your agent to delete obsolete tags or credential metadata, keeping your Dock certs environment organized and up to date.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `DOCK_CERTS_CREATE_API_KEY` | Create API Key | Tool to create an API key. Use when you need to generate a new API key with optional alias and IP allowlist. |
| `DOCK_CERTS_CREATE_WEBHOOK` | Create Webhook | Tool to create a webhook endpoint. Use when you need Dock.io to push event notifications to your service. |
| `DOCK_CERTS_DELETE_API_KEY` | Delete API Key | Tool to delete a specific API key. Use after confirming the API key's ID via list_api_keys. |
| `DOCK_CERTS_DELETE_CREDENTIAL` | Delete Credential | Tool to delete a verifiable credential. Use after confirming the credential is no longer needed. |
| `DOCK_CERTS_DELETE_TAG` | Delete Tag | Tool to delete a specific tag. Use when you have a tag ID and want to permanently remove it. |
| `DOCK_CERTS_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a specific webhook. Use after confirming the webhook's ID via list_webhooks. |
| `DOCK_CERTS_RETRIEVE_API_KEY` | Retrieve API Key | Tool to retrieve details of an API key. Tries single-key endpoint first, then falls back to listing and filtering. |
| `DOCK_CERTS_RETRIEVE_API_KEYS` | Retrieve API Keys | Tool to list all API keys. Use when you need to retrieve all API keys for the authenticated account. |
| `DOCK_CERTS_RETRIEVE_CREDENTIAL` | Retrieve Credential | Tool to retrieve a verifiable credential by its unique ID. If a password was used to persist it, include the same password to decrypt and return the full credential. Otherwise, only metadata is returned. |
| `DOCK_CERTS_RETRIEVE_CREDENTIALS` | Retrieve Credentials | Tool to retrieve a list of credential metadata. Use when you need to collect credential details with optional pagination or filtering after authentication. |
| `DOCK_CERTS_RETRIEVE_DID` | Retrieve DID Document | Tool to retrieve a DID Document by its DID. Use after you have a valid DID to resolve and inspect its DID Document. |
| `DOCK_CERTS_RETRIEVE_REGISTRIES` | Retrieve Revocation Registries | Tool to retrieve a list of revocation registries. Use when you need to list all registries created by the authenticated account with optional pagination and filtering. |
| `DOCK_CERTS_RETRIEVE_WEBHOOK` | Retrieve Webhook | Tool to retrieve a specific webhook's details. Use after confirming you have a valid webhook ID. |
| `DOCK_CERTS_RETRIEVE_WEBHOOKS` | Retrieve Webhooks | Tool to list configured webhooks. Use when you need to retrieve all webhook endpoints configured for your account. |
| `DOCK_CERTS_VERIFY` | Verify Credential or Presentation | Tool to verify a verifiable credential or presentation. Use after receiving a credential or presentation from an issuer. |

## Supported Triggers

None listed.

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

The Dock certs MCP server is an implementation of the Model Context Protocol that connects your AI agent to Dock certs. It provides structured and secure access so your agent can perform Dock certs 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 Dock certs 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 Dock certs 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 Dock certs tools as needed
```python
# Create Tool Router session for Dock certs
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['dock_certs']
)

url = session.mcp.url
```

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

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

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

No description provided.
```python
client = MultiServerMCPClient({
    "dock_certs-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({
    "dock_certs-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 Dock certs 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 Dock certs 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=['dock_certs']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "dock_certs-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 Dock certs 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: ['dock_certs']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "dock_certs-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 Dock certs 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 Dock certs 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 Dock certs MCP Agent with another framework

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

## Related Toolkits

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- [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache.
- [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence.
- [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place.
- [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
- [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows.
- [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights.
- [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews.
- [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease.
- [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Dock certs MCP?

With a standalone Dock certs MCP server, the agents and LLMs can only access a fixed set of Dock certs tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Dock certs 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 Dock certs tools.

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

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

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)