How to integrate Parma MCP with Claude Agent SDK

This guide walks you through connecting Parma to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working Parma agent that can show your parma crm user profile details, list all dataset ids in parma ckan, fetch full metadata for all parma datasets through natural language commands. This guide will help you understand how to give your Claude Agent SDK agent real control over a Parma account through Composio's Parma MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Introduction

This guide walks you through connecting Parma to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working Parma agent that can show your parma crm user profile details, list all dataset ids in parma ckan, fetch full metadata for all parma datasets through natural language commands.

This guide will help you understand how to give your Claude Agent SDK agent real control over a Parma account through Composio's Parma MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Parma with

OpenAI Agents SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your Claude/Anthropic and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Parma
  • Configure an AI agent that can use Parma as a tool
  • Run a live chat session where you can ask the agent to perform Parma operations

What is Claude Agent SDK?

The Claude Agent SDK is Anthropic's official framework for building AI agents powered by Claude. It provides a streamlined interface for creating agents with MCP tool support and conversation management.

Key features include:

  • Native MCP Support: Built-in support for Model Context Protocol servers
  • Permission Modes: Control tool execution permissions
  • Streaming Responses: Real-time response streaming for interactive applications
  • Context Manager: Clean async context management for sessions

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

The Parma MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, and more directly to your Parma CRM account. It provides structured and secure access to your CRM data, so your agent can retrieve user profiles, access dataset catalogs, and manage critical business information on your behalf.

  • Comprehensive dataset catalog access: Instantly retrieve dcat-us 1.1 compliant metadata for all datasets in your Parma open data portal, making it easy to audit or analyze your entire data catalog.
  • Personalized user profile retrieval: Ask your agent to fetch the authenticated user's profile details, helping you quickly access account info or tailor interactions for specific users.
  • Efficient dataset identification: Let your agent list all dataset identifiers from Parma's CKAN instance, streamlining workflows that depend on knowing what's available in your data ecosystem.
  • Data-driven relationship management: Empower your agent to surface, summarize, or cross-reference CRM datasets, deepening insights into your business relationships and opportunities.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Composio API Key and Claude/Anthropic API Key
  • Primary know-how of Claude Agents SDK
  • A Parma account
  • Some knowledge of Python
2

Getting API Keys for Claude/Anthropic and Composio

Claude/Anthropic API Key
  • Go to the Anthropic Console and create an API key. You'll need credits to use the models.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

npm install @anthropic-ai/claude-agent-sdk @composio/core dotenv

Install the Composio SDK and the Claude Agents SDK.

What's happening:

  • @composio/core provides Composio integration for Anthropic
  • @anthropic-ai/claude-agent-sdk is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID identifies the user for session management
  • ANTHROPIC_API_KEY authenticates with Anthropic/Claude
5

Import dependencies

import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

dotenv.config();
What's happening:
  • We're importing all necessary libraries including the Claude Agent SDK and Composio
  • The dotenv.config() function loads environment variables from your .env file
  • This setup prepares the foundation for connecting Claude with Parma functionality
6

Create a Composio instance and Tool Router session

async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

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

  // Create Tool Router session for Parma
  const session = await composio.create(USER_ID, {
    toolkits: ['parma'],
  });
  const mcpUrl = session?.mcp.url;
What's happening:
  • The function checks for the required COMPOSIO_API_KEY environment variable
  • We're creating a Composio instance using our API key
  • The create method creates a Tool Router session for Parma
  • The returned url is the MCP server URL that your agent will use
7

Configure Claude Agent with MCP

const options: Options = {
  permissionMode: 'bypassPermissions',
  mcpServers: {
    composio: {
      type: 'http',
      url: mcpUrl,
      headers: { 'x-api-key': COMPOSIO_API_KEY }
    }
  },
  systemPrompt: 'You are a helpful assistant with access to Parma tools via Composio.',
  maxTurns: 10,
};
What's happening:
  • We're configuring the Claude Agent options with the MCP server URL
  • permissionMode: 'bypassPermissions' allows the agent to execute operations without asking for permission each time
  • The system prompt instructs the agent that it has access to Parma
  • maxTurns: 10 limits the conversation length to prevent excessive API usage
8

Create client and start chat loop

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

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}
What's happening:
  • The readline interface is created to handle user input and output
  • The query function is used to send the user's input to the agent
  • The chat loop continues until the user types 'exit' or 'quit'
9

Run the application

try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}
What's happening:
  • The chat function is the entry point for the application
  • The try-catch block is used to handle any errors that occur

Complete Code

Here's the complete code to get you started with Parma and Claude Agent SDK:

import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

  const composio = new Composio({ apiKey: COMPOSIO_API_KEY });
  const session = await composio.create(USER_ID, {
    toolkits: ['parma']
  });
  const mcp_url = session?.mcp.url;

  const options: Options = {
    permissionMode: 'bypassPermissions',
    mcpServers: {
      composio: {
        type: 'http',
        url: mcp_url,
        headers: { 'x-api-key': COMPOSIO_API_KEY }
      }
    },
    systemPrompt: 'You are a helpful assistant with access to Parma tools via Composio.',
    maxTurns: 10,
  };

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

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}

try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}

Conclusion

You've successfully built a Claude Agent SDK agent that can interact with Parma through Composio's Tool Router.

Key features:

  • Native MCP support through Claude's agent framework
  • Streaming responses for real-time interaction
  • Permission bypass for smooth automated workflows
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
TOOLS

Supported Tools

Every Parma action and event your agent gets out of the box.

Add Relationship to Group

Tool to add a relationship to a group in Parma.

Create Note

Tool to create a new note in the Parma account.

Create Relationship

Tool to create a new relationship in Parma.

Get data.json metadata

Tool to retrieve DCAT-US 1.

Delete Relationship

Tool to delete a relationship from Parma by its ID.

Get Pipeline

Tool to retrieve a pipeline by its ID.

Get Relationship

Tool to retrieve a relationship by its unique ID.

Get Stage

Tool to retrieve a stage by its unique identifier.

Get User by ID

Tool to retrieve a user by their unique ID.

Get User Profile

Tool to retrieve the authenticated user's profile.

List Deals

Tool to retrieve all deals from the Parma account.

List Groups

Tool to retrieve all groups in the Parma account.

List Notes

Tool to retrieve all notes from the Parma account.

List Pipelines

Tool to list all pipelines in the Parma account.

List Relationship Groups

Tool to retrieve all groups linked to a specific relationship.

List Relationship Notes

Tool to list all notes linked to a relationship.

List Relationships

Tool to list all relationships in the Parma account.

List Stages

Tool to retrieve all stages in the Parma account.

List Users

Tool to list all users in the Parma account.

List Parma CKAN datasets

Tool to retrieve all dataset identifiers from the Parma CKAN instance.

Remove Relationship From Group

Tool to remove a relationship from a group.

Update Note

Tool to update an existing note in the Parma account.

Update Relationship

Tool to update an existing relationship in the Parma account.

FRAMEWORKS

How to build Parma MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Parma MCP with OpenAI Agents SDK

Claude Code logo

Claude Code

Use Parma MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Parma MCP with Claude Cowork

Codex logo

Codex

Use Parma MCP with Codex

OpenClaw logo

OpenClaw

Use Parma MCP with OpenClaw

Hermes logo

Hermes

Use Parma MCP with Hermes

CLI logo

CLI

Use Parma MCP with CLI

Google ADK logo

Google ADK

Use Parma MCP with Google ADK

LangChain logo

LangChain

Use Parma MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Parma MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Parma MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Parma MCP with LlamaIndex

CrewAI logo

CrewAI

Use Parma MCP with CrewAI

FAQ

Frequently asked questions

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

Yes, you can. Claude Agent SDK 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 Parma tools.

Yes, absolutely. You can configure which Parma 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.

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 Parma data and credentials are handled as safely as possible.

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A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

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CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

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Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

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With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

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