How do I get a DeveloperHub API Key?

Log in to your DeveloperHub account, navigate to **Project Settings > API**, and you can generate or retrieve your unique API Key from that section.

Can the agent retrieve the Markdown content of a page?

Yes, you can use the get_documentation_page_content tool to retrieve the full technical structure and text content of any page in your project.

Does the integration support searching across portals?

You can search within a specific project using the search_documentation_portal tool. To search across multiple portals, simply perform separate queries for each project ID.

DeveloperHub MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: DeveloperHub
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to DeveloperHub through Vinkius, pass the Edge URL in the `mcps` parameter and every DeveloperHub tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="DeveloperHub Specialist",
    goal="Help users interact with DeveloperHub effectively",
    backstory=(
        "You are an expert at leveraging DeveloperHub tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in DeveloperHub "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About DeveloperHub MCP Server

Integrate DeveloperHub, the specialized platform for developer documentation, directly into your AI workflow. Manage your documentation portals, monitor page updates and versions, and track product changelogs using natural language.

When paired with CrewAI, DeveloperHub becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call DeveloperHub tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Project Oversight — List and retrieve technical metadata for all your documentation projects and portals.
Page Management — Access the full page hierarchy, retrieve Markdown content, and track recent updates.
Version Control — Monitor available documentation versions and identify which one is currently active.
Changelog Tracking — List product release notes and updates associated with your documentation projects.

The DeveloperHub MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect DeveloperHub to CrewAI via MCP

Follow these steps to integrate the DeveloperHub MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from DeveloperHub

Why Use CrewAI with the DeveloperHub MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with DeveloperHub through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

DeveloperHub + CrewAI Use Cases

Practical scenarios where CrewAI combined with the DeveloperHub MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries DeveloperHub for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries DeveloperHub, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain DeveloperHub tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries DeveloperHub against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

DeveloperHub MCP Tools for CrewAI (10)

These 10 tools become available when you connect DeveloperHub to CrewAI via MCP:

get_account_metadata

Retrieve metadata and usage limits for your DeveloperHub account

get_documentation_page_content

Get the full content and metadata for a specific documentation page

get_documentation_project_details

Get detailed information for a specific documentation project

get_documentation_sitemap

Retrieve a structural map of all pages in a project

list_documentation_pages

List all pages and sub-pages within a specific project

list_documentation_projects

List all documentation projects in your DeveloperHub account

list_documentation_versions

List all versions (e.g. v1.0, v2.0) available for a project

list_product_changelogs

List all changelog entries associated with a documentation project

list_recently_updated_pages

Identify documentation pages that have been recently modified

search_documentation_portal

Search for specific keywords across all pages in a documentation project

Example Prompts for DeveloperHub in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with DeveloperHub immediately.

"List all documentation pages in the 'API-Reference' project."

"What were the latest updates in our project changelog?"

"Search for 'webhooks' in our documentation portal."

Troubleshooting DeveloperHub MCP Server with CrewAI

Common issues when connecting DeveloperHub to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

DeveloperHub + CrewAI FAQ

Common questions about integrating DeveloperHub MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.