How to integrate Hashnode MCP with CrewAI

This guide walks you through connecting Hashnode to CrewAI using the Composio tool router. By the end, you'll have a working Hashnode agent that can list your most recent hashnode articles, check if 'devjournal.com' domain is available, fetch popular tags for trending topics through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Hashnode account through Composio's Hashnode MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Api Key

Hashnode is a blogging platform designed for developers to create, manage, and share technical content. It streamlines publishing and helps grow your dev audience effortlessly.

67 Tools

Introduction

This guide walks you through connecting Hashnode to CrewAI using the Composio tool router. By the end, you'll have a working Hashnode agent that can list your most recent hashnode articles, check if 'devjournal.com' domain is available, fetch popular tags for trending topics through natural language commands.

This guide will help you understand how to give your CrewAI agent real control over a Hashnode account through Composio's Hashnode MCP server.

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

Also integrate Hashnode with

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Hashnode connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Hashnode
  • Build a conversational loop where your agent can execute Hashnode operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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

The Hashnode MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Hashnode account. It provides structured and secure access to your blog and developer publication data, so your agent can fetch articles, manage publication invites, reply to comments, and explore tags or user details on your behalf.

  • Fetch and analyze articles: Let your agent retrieve single articles or lists of posts from your publications, making it easy to summarize, review, or manage your content.
  • Publication invite handling: Effortlessly accept publication invitations or view all your pending invites, streamlining the process of joining new developer teams or publications.
  • Interact with comments and replies: Have your agent add replies to existing comments, enabling automated engagement and conversation management on your posts.
  • Tag discovery and trend tracking: Easily fetch popular tags so your agent can suggest relevant topics, optimize your writing focus, or help you follow industry trends.
  • User and publication insights: Retrieve detailed profile information for any user or publication, giving your agent the context needed for personalized recommendations and content actions.

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 step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Hashnode connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • 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

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Hashnode via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

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

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")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Hashnode MCP URL
6

Create a Composio Tool Router session for Hashnode

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["hashnode"])

url = session.mcp.url
What's happening:
  • You create a Hashnode only session through Composio
  • Composio returns an MCP HTTP URL that exposes Hashnode tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

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

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

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with Hashnode and CrewAI:

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

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

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_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.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["hashnode"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

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

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

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Hashnode through Composio's Tool Router. The agent can perform Hashnode operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
TOOLS

Supported Tools

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

Hashnode Accept Publication Invite

Tool to accept a publication invitation.

Hashnode Add Comment

Add a comment to a Hashnode post.

Hashnode Add Content Block

Tool to add a content block to a Hashnode documentation project.

Hashnode Add Custom MDX Component

Tool to add a custom MDX component to a Hashnode documentation project.

Hashnode: Add Documentation Project Custom Domain

Tool to add a custom domain to a Hashnode documentation project.

Hashnode Add Reply

Tool to add a reply to an existing comment.

Hashnode: Check Custom Domain Availability

Tool to check if a custom domain is available for your Hashnode publication.

Hashnode: Check Subdomain Availability

Tool to check if a subdomain is available for a Hashnode publication.

Create Documentation API Reference

Tool to create a documentation API reference from an OpenAPI specification URL in a Hashnode project.

Create Documentation Link

Tool to create a link within a Hashnode documentation guide.

Hashnode: Create Documentation Project

Tool to create a new documentation project on Hashnode.

Hashnode Create Documentation Section

Tool to create a new documentation section in a Hashnode documentation guide.

Create Hashnode Documentation Guide

Tool to create a new documentation guide in a Hashnode documentation project.

Hashnode Delete Content Block

Tool to delete a content block from a Hashnode documentation project.

Hashnode Delete Custom MDX Component

Tool to delete a custom MDX component from a Hashnode documentation project.

Disable Documentation Project AI Search

Tool to disable AI search for a documentation project on Hashnode.

Hashnode: Fetch Invitations

Fetch pending publication invitations for a Hashnode publication.

Hashnode: Fetch Popular Tags

Tool to fetch a paginated list of popular tags.

Fetch Publication Posts

Tool to fetch a paginated list of posts from a publication.

Fetch Series Posts

Tool to fetch posts from a series within a publication.

Fetch Single Article

Tool to fetch a single article by slug from a publication.

Fetch Stories Feed

Fetch a paginated feed of stories from Hashnode.

Hashnode: Fetch User Details

Tool to fetch detailed user profile information by username.

Hashnode: Follow Tags

Follow specified tags to customize your content feed on Hashnode.

Generate Documentation Project Preview Authorization Token

Tool to generate a JWT authorization token for previewing a documentation project.

Get Documentation Project

Tool to fetch details of a Docs by Hashnode project by ID or hostname.

Get Post by ID

Tool to retrieve a published post by ID from Hashnode.

Get Publication by ID or Host

Tool to fetch publication details by ID or hostname.

Hashnode: Get Tag Details

Tool to fetch detailed information about a tag by its slug.

Hashnode Like Comment

Tool to like a comment on Hashnode.

Hashnode Like Post

Tool to like a post on Hashnode.

Hashnode: Like Reply

Tool to like a reply on Hashnode.

Hashnode: List Publications

Tool to list all publications of the authenticated user.

Hashnode: List Top Commenters

Tool to fetch users who have most actively participated in discussions by commenting in the last 7 days.

Hashnode: Map Documentation Project WWW Redirect

Tool to configure WWW redirect for a documentation project's custom domain.

Hashnode: Get Current User

Retrieves profile details of the currently authenticated Hashnode user.

Move Documentation Sidebar Item

Tool to reorder documentation sidebar items within a Hashnode guide.

Publish Documentation API Reference

Tool to publish a documentation API reference in a Hashnode documentation project.

Hashnode Publish Post

Tool to publish a new blog post to a Hashnode publication.

Hashnode Remove Comment

Tool to remove a comment from a Hashnode post.

Hashnode Remove Documentation Guide

Tool to remove a documentation guide from a Hashnode project.

Remove Documentation Project

Tool to remove a documentation project from Hashnode.

Hashnode Remove Documentation Project Custom Domain

Tool to remove a custom domain from a Hashnode documentation project.

Remove Documentation Sidebar Item

Tool to remove a sidebar item from a documentation guide on Hashnode.

Hashnode Remove Post

Tool to remove (delete) a post from Hashnode.

Hashnode Remove Reply

Tool to remove a reply from a comment.

Hashnode Rename Documentation Guide

Tool to rename a documentation guide in a Hashnode project.

Rename Documentation Sidebar Item

Tool to rename a documentation sidebar item within a Hashnode guide.

Hashnode Restore Post

Tool to restore a previously deleted Hashnode post.

Save Documentation Page Draft Content

Tool to save draft content for a documentation page in Hashnode.

Search Posts of Publication

Tool to search and retrieve posts from a specific publication based on a search query.

Subscribe to Newsletter

Tool to subscribe an email address to a Hashnode publication's newsletter.

Hashnode: Toggle Follow User

Tool to toggle follow status for a Hashnode user.

Hashnode: Unfollow Tags

Unfollow specified tags to customize your content feed on Hashnode.

Unsubscribe from Newsletter

Tool to unsubscribe an email address from a Hashnode publication's newsletter.

Hashnode Update Comment

Tool to update an existing comment on a Hashnode post.

Hashnode Update Content Block

Tool to update a content block in a Hashnode documentation project.

Update Documentation Appearance

Tool to update the appearance settings of a Hashnode documentation project.

Update Documentation General Settings

Tool to update general settings of a Hashnode documentation project.

Update Hashnode Documentation Guide

Tool to update an existing documentation guide in a Hashnode project.

Hashnode: Update Documentation Integrations

Tool to update third-party integrations for a Docs by Hashnode project.

Update Documentation Link

Tool to update an existing link within a Hashnode documentation guide.

Hashnode: Update Documentation Project Subdomain

Tool to update the subdomain of a Hashnode documentation project.

Hashnode Update Documentation Section

Tool to update a section in a Hashnode documentation guide.

Hashnode Update Post

Tool to update an existing Hashnode post via the updatePost mutation.

Hashnode Update Reply

Tool to update a reply.

Hashnode Verify Documentation Project Custom Domain

Tool to verify a custom domain for a Hashnode documentation project.

FAQ

Frequently asked questions

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

Yes, you can. CrewAI 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 Hashnode tools.

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

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