How do I find my Autobidder API Key?

Log in to your account, navigate to **Settings** > **API**, and copy your unique access token from the credentials section.

Can I check bid win rates via AI?

Yes! The `list_outcomes` tool allows your agent to retrieve status metadata for all your past submissions.

How do I list my active bid requests?

Use the `list_requests` tool to retrieve your complete directory along with the unique identifiers for all managed tenders.

INSTANT PLUG AND PLAY

Autobidder MCP Server for CrewAIGive CrewAI instant access to 10 tools to Check Autobidder Status, Create Request, Get Bid, and more

Name: Autobidder
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 10 Tools Framework

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

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

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The Autobidder app connector for CrewAI is a standout in the Marketing Automation category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Autobidder Specialist",
    goal="Help users interact with Autobidder effectively",
    backstory=(
        "You are an expert at leveraging Autobidder 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 Autobidder "
        "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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About Autobidder MCP Server

Connect your Autobidder account to any AI agent and take full control of your project bidding orchestration and automated response workflows through natural conversation.

When paired with CrewAI, Autobidder becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Autobidder 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

Bid Portfolio Orchestration — List and manage all incoming bid requests and tenders programmatically, retrieving detailed technical metadata
Response & Quote Intelligence — Programmatically query and monitor active project bids to maintain a perfectly coordinated revenue overview
Win Rate Architecture — Access your complete directory of past bids and outcomes to oversee your organizational performance in real-time
Deadline Monitoring — Access real-time status updates for bid deadlines and track submission progress directly through your agent for instant reporting
Operational Monitoring — Verify account-level API connectivity and monitor bid orchestration volume directly through your agent for perfectly coordinated service scaling

The Autobidder 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.

All 10 Autobidder tools available for CrewAI

When CrewAI connects to Autobidder through Vinkius, your AI agent gets direct access to every tool listed below — spanning bid-management, ad-spend, tender-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_autobidder_status

Verify AutoBidder API connectivity

create_request

Create a bid request

get_bid

Get bid details

get_outcome

Get outcome details

get_profile

Get your profile

get_request

Get request details

list_bids

List all bids

list_outcomes

List all bid outcomes

list_projects

List all projects

list_requests

List all bid requests

Connect Autobidder to CrewAI via MCP

Follow these steps to wire Autobidder into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 Autobidder

Why Use CrewAI with the Autobidder MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Autobidder 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

Autobidder + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Autobidder 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 Autobidder, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Autobidder 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 Autobidder against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Autobidder in CrewAI

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

"List all active bid requests in my Autobidder account."

"Show the win rate for 'Team Alpha' last month."

"Check for any bid deadlines approaching this week."

Troubleshooting Autobidder MCP Server with CrewAI

Common issues when connecting Autobidder 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.

Autobidder + CrewAI FAQ

Common questions about integrating Autobidder 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.