Bring Transport Management
to CrewAI
Create your Vinkius account to connect Dashdoc to CrewAI and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Dashdoc MCP Server?
Integrate Dashdoc, the leading transport management system (TMS), directly into your AI workflow. Manage your transport orders, monitor your fleet of trucks and trailers, and track delivery addresses using natural language.
What you can do
- Transport Management — List and retrieve detailed information for all your transport orders and their statuses.
- Fleet Monitoring — Track your trucks, trailers, and drivers registered in the Dashdoc system.
- Address Book — Manage delivery and pickup addresses and create new records instantly.
- Partner Insights — List contacts and business partners associated with your transport operations.
How it works
- Connect the Dashdoc integration to your AI assistant.
- Authorize using your Dashdoc API Key (found in Settings > API).
- Optimize your logistics and transport operations through intuitive conversation.
Who is this for?
- Logistics Managers — Quickly check transport statuses and fleet availability on the go.
- Dispatchers — Access driver information and delivery addresses directly via chat.
- Supply Chain Teams — Monitor transport orders and partner contacts during logistics planning.
Built-in capabilities (10)
Persists site metadata including name, city, and postal code, returning the newly generated system ID for the address. Add a new address to your Dashdoc address book
Returns account-level metadata including user ID, role, and associated fleet/company configuration. Retrieve metadata for the current authenticated user
Resolves internal IDs to human-readable names, including full site addresses, contact phone numbers, specific cargo items, and historical status logs. Get detailed information for a specific transport order
Returns driver profiles including internal identifiers, professional names, and link to associated vehicle units. List all drivers registered in the system
Returns metadata such as trailer type (e.g., refrigerated, tautliner), registration numbers, and fleet assignment status. List all trailers in your fleet
Includes license plates, vehicle types, maximum load capacity, and current operational status. List all trucks in your fleet
Returns a collection of site objects with GPS coordinates, technical contact details, and site-specific instructions (e.g., gate codes, loading bay requirements). List all saved delivery and pickup addresses
Resolves business partner identities, including legal names, tax identifiers, and primary communication channels for logistics coordination. List contacts and business partners
Returns transport metadata including status (e.g., requested, confirmed, ongoing, done), pickup/delivery references, customer IDs, and scheduling timestamps. List all transport orders in Dashdoc
Matches the provided reference keyword against transport-level identifiers and customer references using case-insensitive partial matching. Search for transport orders by reference keyword
Why CrewAI?
When paired with CrewAI, Dashdoc becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Dashdoc tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
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
mcpsparameter 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
Dashdoc in CrewAI
Why run Dashdoc with Vinkius?
The Dashdoc connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Dashdoc using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Dashdoc and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Dashdoc to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Dashdoc for CrewAI
Every request between CrewAI and Dashdoc is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I get a Dashdoc API Key?
Log in to your Dashdoc account, navigate to Settings > API, and you can generate or retrieve your API Key there. Ensure your account has API access enabled.
Can the agent update transport statuses?
This integration currently focuses on listing and retrieving transport data for analysis. Status updates should be managed via the Dashdoc dashboard or driver mobile app.
Is fleet data included?
Yes, you can list your trucks, trailers, and drivers, allowing the agent to provide information on your available transport resources.
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.
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.
Explore More MCP Servers
View all →
Shimo Docs
10 toolsCollaborative office suite and document management platform — manage Word, Excel, and PPT via AI.
CaptionHub
10 toolsManage video localization via CaptionHub — track projects, automate transcription, and approve captions directly from any AI agent.
Clientify
10 toolsGrow your sales pipeline with a CRM that combines lead capture, email marketing, and deal tracking for Spanish-speaking markets.
UKG Pro Learning
4 toolsManage employee training, courses, and learning paths via UKG Pro Learning.