# How to integrate Dnsfilter MCP with LlamaIndex

```json
{
  "title": "How to integrate Dnsfilter MCP with LlamaIndex",
  "toolkit": "Dnsfilter",
  "toolkit_slug": "dnsfilter",
  "framework": "LlamaIndex",
  "framework_slug": "llama-index",
  "url": "https://composio.dev/toolkits/dnsfilter/framework/llama-index",
  "markdown_url": "https://composio.dev/toolkits/dnsfilter/framework/llama-index.md",
  "updated_at": "2026-05-06T08:08:52.579Z"
}
```

## Introduction

This guide walks you through connecting Dnsfilter to LlamaIndex using the Composio tool router. By the end, you'll have a working Dnsfilter agent that can list all ip addresses in your network, retrieve billing information for your organization, get details for a specific filtering category through natural language commands.
This guide will help you understand how to give your LlamaIndex agent real control over a Dnsfilter account through Composio's Dnsfilter MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Dnsfilter with

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

## TL;DR

Here's what you'll learn:
- Set your OpenAI and Composio API keys
- Install LlamaIndex and Composio packages
- Create a Composio Tool Router session for Dnsfilter
- Connect LlamaIndex to the Dnsfilter MCP server
- Build a Dnsfilter-powered agent using LlamaIndex
- Interact with Dnsfilter through natural language

## What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications. It provides tools for connecting LLMs to external data sources and services through agents and tools.
Key features include:
- ReAct Agent: Reasoning and acting pattern for tool-using agents
- MCP Tools: Native support for Model Context Protocol
- Context Management: Maintain conversation context across interactions
- Async Support: Built for async/await patterns

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

The Dnsfilter MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dnsfilter account. It provides structured and secure access to your DNSFilter environment, so your agent can perform actions like listing IPs, retrieving categories, managing network devices, and accessing billing information on your behalf.
- Comprehensive IP address management: Direct your agent to list, fetch, or create IP address entries for your networks, streamlining network administration.
- Efficient category and content filtering: Have your agent retrieve details for specific filtering categories or list all available content categories to fine-tune organizational policies.
- Network device inventory automation: Ask your agent to list all MAC addresses and applications in your environment, making it easy to keep track of connected devices and services.
- Application category insight: Instantly access information about application categories or retrieve all application categories to stay updated on your filtering options.
- Billing information access: Let your agent pull detailed billing information for your organization, supporting audits and automated reporting workflows.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `DNSFILTER_CREATE_IP_ADDRESS` | Create IP Address | Tool to create a new ip address in dnsfilter. use after confirming the target network id exists. |
| `DNSFILTER_GET_APPLICATION_CATEGORY` | Get Application Category | Tool to get basic information of a specific application category. use when you need details for a given application category id. |
| `DNSFILTER_GET_BILLING_INFORMATION` | Get Billing Information | Tool to retrieve basic billing information for an organization. use when you need to obtain billing details for reporting or automation tasks. |
| `DNSFILTER_GET_CATEGORY` | Get Category | Tool to get basic information of a specific category. use when you need to retrieve details for a category by its id. |
| `DNSFILTER_GET_IP_ADDRESS` | Get IP Address | Tool to get basic information of the specified ip address. use when you need to fetch metadata for a particular ip after authentication. |
| `DNSFILTER_LIST_ALL_CATEGORIES` | List All Categories | Tool to list all categories including internal categories. use when you need the complete set of filtering categories. |
| `DNSFILTER_LIST_ALL_IP_ADDRESSES` | List All IP Addresses | Tool to list all user-associated ip addresses. use when you need a comprehensive list of all ip address entries in your organization. |
| `DNSFILTER_LIST_ALL_MAC_ADDRESSES` | List All MAC Addresses | Tool to list all mac addresses with basic information. use when you need to retrieve all mac address entries in your organization. |
| `DNSFILTER_LIST_APPLICATION_CATEGORIES` | List Application Categories | Tool to list application categories with basic information. use after authentication to retrieve all categories. |
| `DNSFILTER_LIST_APPLICATIONS` | List Applications | Tool to list applications with basic information. use when you need to retrieve all applications for your dnsfilter organization. |
| `DNSFILTER_LIST_BLOCK_PAGES` | List Block Pages | Tool to list block pages associated with the current user. use when you need to retrieve all block pages for review or update. |
| `DNSFILTER_LIST_CATEGORIES` | List Categories | Tool to list categories with basic information. use when retrieving all dnsfilter categories for policy configuration. |
| `DNSFILTER_LIST_INVOICES` | List Invoices | Tool to list invoices for an organization, most recent first. use after obtaining the organization id when needing paginated invoice data. |
| `DNSFILTER_LIST_IP_ADDRESSES` | List IP Addresses | Tool to list user-associated ip addresses basic information. use when you need to retrieve paginated ip address records filtered by location or device after authentication. |
| `DNSFILTER_LIST_MAC_ADDRESSES` | List MAC Addresses | Tool to list mac addresses associated with an organization. use when you need to retrieve basic mac address information, optionally filtered by organization or paginated. |
| `DNSFILTER_LIST_NETWORKS` | List Networks | Tool to list all networks. use when you need to retrieve all network configurations for your organization. |
| `DNSFILTER_LIST_ORGANIZATIONS` | List Organizations | Tool to list all organizations. use when you need to retrieve all organizations tied to the authenticated dnsfilter account. |
| `DNSFILTER_SUGGEST_DOMAIN_THREAT` | Suggest Domain Threat | Tool to suggest a fqdn as a potential threat. use after identifying a suspicious domain to verify its threat categorization. |
| `DNSFILTER_VALIDATE_AUTH0_JWT` | Validate Auth0 JWT | Tool to validate a jwt with auth0. use when you need to confirm token validity before making dnsfilter api calls. |

## Supported Triggers

None listed.

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

The Dnsfilter MCP server is an implementation of the Model Context Protocol that connects your AI agent to Dnsfilter. It provides structured and secure access so your agent can perform Dnsfilter 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

Before you begin, make sure you have:
- Python 3.8/Node 16 or higher installed
- A Composio account with the API key
- An OpenAI API key
- A Dnsfilter account and project
- Basic familiarity with async Python/Typescript

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

No description provided.

### 2. Installing dependencies

No description provided.
```python
pip install composio-llamaindex llama-index llama-index-llms-openai llama-index-tools-mcp python-dotenv
```

```typescript
npm install @composio/llamaindex @llamaindex/openai @llamaindex/tools @llamaindex/workflow dotenv
```

### 3. Set environment variables

Create a .env file in your project root:
These credentials will be used to:
- Authenticate with OpenAI's GPT-5 model
- Connect to Composio's Tool Router
- Identify your Composio user session for Dnsfilter access
```bash
OPENAI_API_KEY=your-openai-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id
```

### 4. Import modules

No description provided.
```python
import asyncio
import os
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()
```

```typescript
import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();
```

### 5. Load environment variables and initialize Composio

No description provided.
```python
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_API_KEY is not set in the environment")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment")
```

```typescript
const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!COMPOSIO_API_KEY) throw new Error("COMPOSIO_API_KEY is not set");
if (!COMPOSIO_USER_ID) throw new Error("COMPOSIO_USER_ID is not set");
```

### 6. Create a Tool Router session and build the agent function

What's happening here:
- We create a Composio client using your API key and configure it with the LlamaIndex provider
- We then create a tool router MCP session for your user, specifying the toolkits we want to use (in this case, dnsfilter)
- The session returns an MCP HTTP endpoint URL that acts as a gateway to all your configured tools
- LlamaIndex will connect to this endpoint to dynamically discover and use the available Dnsfilter tools.
- The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.
```python
async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["dnsfilter"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")

    description = "An agent that uses Composio Tool Router MCP tools to perform Dnsfilter actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Dnsfilter actions.
    """
    return ReActAgent(tools=tools, llm=llm, description=description, system_prompt=system_prompt, verbose=True)
```

```typescript
async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["dnsfilter"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
        description : "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Dnsfilter actions." ,
    llm,
    tools,
  });

  return agent;
}
```

### 7. Create an interactive chat loop

No description provided.
```python
async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")
```

```typescript
async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}
```

### 8. Define the main entry point

What's happening here:
- We're orchestrating the entire application flow
- The agent gets built with proper error handling
- Then we kick off the interactive chat loop so you can start talking to Dnsfilter
```python
async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")
```

```typescript
async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err) {
    console.error("Failed to start agent:", err);
    process.exit(1);
  }
}

main();
```

### 9. Run the agent

When prompted, authenticate and authorise your agent with Dnsfilter, then start asking questions.
```bash
python llamaindex_agent.py
```

```typescript
npx ts-node llamaindex-agent.ts
```

## Complete Code

```python
import asyncio
import os
import signal
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()

OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_API_KEY is not set")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")

async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["dnsfilter"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")
    description = "An agent that uses Composio Tool Router MCP tools to perform Dnsfilter actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Dnsfilter actions.
    """
    return ReActAgent(
        tools=tools,
        llm=llm,
        description=description,
        system_prompt=system_prompt,
        verbose=True,
    );

async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")

async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")
```

```typescript
import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";
import { LlamaindexProvider } from "@composio/llamaindex";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) {
    throw new Error("OPENAI_API_KEY is not set in the environment");
  }
if (!COMPOSIO_API_KEY) {
    throw new Error("COMPOSIO_API_KEY is not set in the environment");
  }
if (!COMPOSIO_USER_ID) {
    throw new Error("COMPOSIO_USER_ID is not set in the environment");
  }

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["dnsfilter"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
    description:
      "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Dnsfilter actions." ,
    llm,
    tools,
  });

  return agent;
}

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err: any) {
    console.error("Failed to start agent:", err?.message ?? err);
    process.exit(1);
  }
}

main();
```

## Conclusion

You've successfully connected Dnsfilter to LlamaIndex through Composio's Tool Router MCP layer.
Key takeaways:
- Tool Router dynamically exposes Dnsfilter tools through an MCP endpoint
- LlamaIndex's ReActAgent handles reasoning and orchestration; Composio handles integrations
- The agent becomes more capable without increasing prompt size
- Async Python provides clean, efficient execution of agent workflows
You can easily extend this to other toolkits like Gmail, Notion, Stripe, GitHub, and more by adding them to the toolkits parameter.

## How to build Dnsfilter MCP Agent with another framework

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

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## Frequently Asked Questions

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

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

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

Yes, you can. LlamaIndex 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 Dnsfilter tools.

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

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

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