MOBIDI MCP Server for CrewAIGive CrewAI instant access to 12 tools to Check Mobidi Status, Create Record, Delete Record, and more
Connect your CrewAI agents to MOBIDI through Vinkius, pass the Edge URL in the `mcps` parameter and every MOBIDI tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
Ask AI about this MCP Server for CrewAI
The MOBIDI MCP Server for CrewAI is a standout in the Erp Operations category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from crewai import Agent, Task, Crew
agent = Agent(
role="MOBIDI Specialist",
goal="Help users interact with MOBIDI effectively",
backstory=(
"You are an expert at leveraging MOBIDI 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 MOBIDI "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 12 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 MOBIDI MCP Server
Connect your MOBIDI platform to any AI agent and manage business intelligence data.
When paired with CrewAI, MOBIDI becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call MOBIDI 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
- Data Queries — Run custom queries and count matching records
- CRUD Operations — Create, read, update, and delete records of any entity type
- Reports — List, inspect, and execute BI reports
- Data Model — Explore available entity types
- System Services — View available platform services
The MOBIDI MCP Server exposes 12 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 MOBIDI tools available for CrewAI
When CrewAI connects to MOBIDI through Vinkius, your AI agent gets direct access to every tool listed below — spanning crud-operations, data-querying, reporting-dashboards, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Check mobidi status on MOBIDI
Verify API connectivity
Create record on MOBIDI
Create a record
Delete record on MOBIDI
Delete a record
Execute report on MOBIDI
Execute a report
Get record by id on MOBIDI
Get record by ID
Get record count on MOBIDI
Count records
Get report on MOBIDI
Get report details
Get services on MOBIDI
List system services
List entity types on MOBIDI
List entity types
List records on MOBIDI
Query records
List reports on MOBIDI
List reports
Update record on MOBIDI
Update a record
Connect MOBIDI to CrewAI via MCP
Follow these steps to wire MOBIDI into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install CrewAI
pip install crewaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comCustomize the agent
role, goal, and backstory to fit your use caseRun the crew
python crew.py. CrewAI auto-discovers 12 tools from MOBIDIWhy Use CrewAI with the MOBIDI MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with MOBIDI 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
MOBIDI + CrewAI Use Cases
Practical scenarios where CrewAI combined with the MOBIDI MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries MOBIDI 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 MOBIDI, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain MOBIDI 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 MOBIDI against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Example Prompts for MOBIDI in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with MOBIDI immediately.
"Query all records where status is active."
"Execute the monthly sales report."
"List all entity types in the data model."
Troubleshooting MOBIDI MCP Server with CrewAI
Common issues when connecting MOBIDI to CrewAI through Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
MOBIDI + CrewAI FAQ
Common questions about integrating MOBIDI MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
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?
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?
Can CrewAI agents call multiple MCP tools in parallel?
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)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Explore More MCP Servers
View all →
iLovePDF
6 toolsMerge, split, compress, and convert PDF files with a complete toolkit that handles every document processing need online.

Manage your Pinterest profile — audit boards and pins via AI.

Tencent Youtu / 腾讯优图
8 toolsChina's leading computer vision platform — perform facial recognition, analysis, and liveness checks via AI.

Aspose.Words
10 toolsGenerate, convert, and manipulate Word documents programmatically with enterprise-grade document processing capabilities.
