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How to Use the DeepSource MCP in CrewAI

Deploy a team of CrewAI agents to monitor DeepSource code quality and auto-assign security vulnerabilities.

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Works with every AI agent you already use

…and any MCP-compatible client

DeepSource MCP on Cursor AI Code Editor MCP Client DeepSource MCP on Claude Desktop App MCP Integration DeepSource MCP on OpenAI Agents SDK MCP Compatible DeepSource MCP on Visual Studio Code MCP Extension Client DeepSource MCP on GitHub Copilot AI Agent MCP Integration DeepSource MCP on Google Gemini AI MCP Integration DeepSource MCP on Lovable AI Development MCP Client DeepSource MCP on Mistral AI Agents MCP Compatible DeepSource MCP on Amazon AWS Bedrock MCP Support
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CrewAI

Connect DeepSource MCP to CrewAI

Create your Vinkius account to connect DeepSource to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Run autonomous security audits with CrewAI

The `list_vulnerabilities` tool fetches all security risks from your repository dependencies. In a CrewAI setup, a Security Agent analyzes this list to prioritize critical CVSS scores and identify reachable packages. The Security Agent then hands the data to a Remediation Agent, which calls `get_vulnerability` to retrieve specific details on the vulnerable package. The team then drafts a pull request to update the dependency without human intervention.

Monitor codebase health with specialized agents

The `get_report_card` tool tracks the overall grade of your codebase. A Quality Monitor Agent runs this tool daily to watch for any grade drops on your default branch. If the grade drops, the Monitor Agent alerts an Analyst Agent, which calls `list_issues` to find new code smells or anti-patterns. The Analyst Agent groups these issues by file and assigns them to the responsible team members.

Automate repo maintenance using this MCP Server

The `get_repository` tool checks if your repository configurations match company standards. A Compliance Agent queries this tool to verify repository owners, VCS settings, and active branches. If a repository is unmonitored, the Compliance Agent runs `activate_repository` to enable analysis. If the default branch changes in your VCS, the agent calls `update_default_branch` to keep DeepSource aligned.

Setup guide

Set up DeepSource MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke DeepSource tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="DeepSource Analyst",
    goal="Access and analyze DeepSource data via MCP.",
    backstory="Expert analyst with direct DeepSource access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent DeepSource transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about DeepSource MCP in CrewAI

Define your crew and pass the server tools to the agents that need them. For example, give `list_issues` to your Code Quality Agent and `list_vulnerabilities` to your Security Agent.
Yes. Your agent can call `deactivate_repository` if a repository is archived or if you need to stop analysis runs to manage billing limits.
One agent can call `get_repository_metrics` to gather metrics like cyclomatic complexity, then write those findings to shared memory. Another agent reads those metrics to decide if a refactor is needed.
Pass the MCP Server URL directly into your agent's mcps array. This gives your crew immediate access to tools like `get_test_coverage` and `list_analysis_runs`.
The integration only shares code quality metrics, dependency vulnerability details, and repository configuration metadata. Your source code files are never accessed or stored by the server.

Start using the DeepSource MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 14 tools

We've already built the connector for DeepSource. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 14 tools are live and waiting. You're up and running in seconds.

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