How do I get a DeepSource Personal Access Token and where do I find it?

Log in to your DeepSource account, go to **Account Settings** → **Personal Access Tokens**, and click **Create New Token**. Give it a descriptive name (e.g., 'Vinkius MCP') and copy the token immediately — it won't be shown again. Paste this token into the API key field below. The token is used as a Bearer token in the Authorization header for all GraphQL requests to `https://api.deepsource.com/graphql/`.

What types of code issues can DeepSource detect and how are they categorized?

DeepSource detects various code quality issues including code smells, anti-patterns, performance issues, security vulnerabilities, and bugs. Issues are categorized by severity (CRITICAL, HIGH, MEDIUM, LOW) and by analyzer type (e.g., PYTHON for Python issues, JS-A1 for JavaScript anti-patterns, GO for Go issues). Each issue includes a shortcode, title, category, and file locations with line numbers. You can filter issues by analyzer short code when querying repositories.

How does DeepSource detect dependency vulnerabilities and what information is provided?

DeepSource uses Supply Chain Analysis (SCA) to scan dependency manifest files (package.json, requirements.txt, Gemfile, etc.) for known vulnerabilities. Each vulnerability includes: CVE ID, CVSS score (0-10), severity level, description, affected package name and version, ecosystem (npm, pip, etc.), reachability status (whether the vulnerable code is actually called), and fixability (whether a fix version is available). This helps prioritize which vulnerabilities to address first based on real r

What is the API rate limit and how many requests can I make per hour?

DeepSource enforces a rate limit of 5,000 requests per hour per user account. This limit covers both read (queries) and write (mutations) operations. If you exceed this limit, the API will return HTTP 429 (Too Many Requests). For most code review and monitoring workflows, this limit is more than sufficient. If you need higher limits for large-scale analysis, contact DeepSource support.

DeepSource MCP Server for AutoGen 14 tools — connect in under 2 minutes

Name: DeepSource
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 14 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add DeepSource as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="deepsource_agent",
            tools=tools,
            system_message=(
                "You help users with DeepSource. "
                "14 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 DeepSource MCP Server

Connect your DeepSource account to any AI agent and take full control of code quality analysis, vulnerability detection, and metrics monitoring through natural conversation.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use DeepSource tools. Connect 14 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Code Issues — List and inspect code quality issues (code smells, anti-patterns, bugs) across repositories with severity and file locations
Analysis History — View recent analysis runs with status, branch, and analyzer information (Python, JavaScript, Go, etc.)
Security Vulnerabilities — Identify dependency vulnerabilities (SCA) with CVE IDs, CVSS scores, reachability, and fixability status
Code Metrics — Query maintainability index, cyclomatic complexity, lines of code, and test coverage percentages
Report Cards — Get overall repository health grades (A-F) with score breakdowns and trend analysis
SCA Targets — List all dependency manifest files being scanned for supply chain security
Repository Management — Activate/deactivate repos, update default branches, and regenerate DSN tokens

The DeepSource MCP Server exposes 14 tools through the Vinkius. Connect it to AutoGen 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 DeepSource to AutoGen via MCP

Follow these steps to integrate the DeepSource MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 14 tools from DeepSource automatically

Why Use AutoGen with the DeepSource MCP Server

AutoGen provides unique advantages when paired with DeepSource through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use DeepSource tools to solve complex tasks

Role-based architecture lets you assign DeepSource tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive DeepSource tool calls

Code execution sandbox: AutoGen agents can write and run code that processes DeepSource tool responses in an isolated environment

DeepSource + AutoGen Use Cases

Practical scenarios where AutoGen combined with the DeepSource MCP Server delivers measurable value.

Collaborative analysis: one agent queries DeepSource while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from DeepSource, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using DeepSource data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process DeepSource responses in a sandboxed execution environment

DeepSource MCP Tools for AutoGen (14)

These 14 tools become available when you connect DeepSource to AutoGen via MCP:

activate_repository

Once activated, DeepSource will start analyzing the code on each push/PR. You must provide the repository ID (obtained from get_repository). Use this to enable code quality monitoring for a repository that was previously inactive. Activate a repository for code analysis in DeepSource

deactivate_repository

No new analyses will run until the repository is reactivated. You must provide the repository ID (obtained from get_repository). Use this to pause analysis for archived repositories or when you want to stop billing for a specific repository. Deactivate a repository to stop code analysis in DeepSource

get_report_card

This provides a quick health check of the repository's overall code quality status. You must provide the repository name, login, and VCS provider. Use this to get a high-level view of code quality trends and identify areas needing improvement. Get the overall report card (grade) for a repository

get_repository

You must provide the repository name, login (user or org name), and VCS provider (e.g., GITHUB, GITLAB, BITBUCKET). Use this to inspect repository configuration before querying issues, analyses, or metrics. Get details of a specific repository in DeepSource

get_repository_metrics

You must provide the repository name, login, and VCS provider. Optionally filter by specific metric shortcodes (e.g., "LCV" for line coverage, "MI" for maintainability index, "CC" for cyclomatic complexity). If no shortcodes specified, returns all available metrics with their values and thresholds. Get code quality metrics for a repository

get_test_coverage

Shows the coverage percentage value and any configured thresholds. You must provide the repository name, login, and VCS provider. Use this to monitor code quality and ensure adequate test coverage across your codebase. Get test coverage metrics for a repository

get_viewer

Use this to verify your API token is working and to get your user details from DeepSource. Get the authenticated user profile from DeepSource

get_vulnerability

You must provide the repository name, login, VCS provider, and the vulnerability occurrence ID (obtained from list_vulnerabilities). Use this to deep-dive into a specific vulnerability before deciding on remediation steps. Get details of a specific dependency vulnerability by its ID

list_analysis_runs

You must provide the repository name, login, and VCS provider. Optionally filter by branch name and limit the number of results (default: 20). Each run shows which analyzer was used (e.g., PYTHON, JAVASCRIPT, GO) and whether the analysis succeeded or failed. List recent code analysis runs for a repository

list_issues

You must provide the repository name, login, and VCS provider. Optionally filter by analyzer short code (e.g., "PYTHON", "JS-A1") and limit results (default: 50). Each issue includes up to 3 sample occurrences with file path and line number. Use this to identify code smells, anti-patterns, and potential bugs across your codebase. List code quality issues in a repository

list_sca_targets

Each target includes ecosystem (e.g., npm, pip, gem), package manager, manifest file path, and activation status. You must provide the repository name, login, and VCS provider. Use this to understand which dependency files are being scanned for vulnerabilities. List all SCA (Supply Chain Analysis) targets in a repository

list_vulnerabilities

Each vulnerability includes severity, CVE ID, CVSS score, description, affected package name and version, reachability status, and fixability. You must provide the repository name, login, and VCS provider. Optionally limit the number of results (default: 20). Use this to identify security risks in your dependencies and prioritize remediation. List dependency vulnerabilities in a repository (SCA)

regenerate_dsn

The DSN is used to authenticate DeepSource analysis runs. You must provide the repository ID (obtained from get_repository). This action invalidates the old DSN and returns the new one. Use this if you suspect the DSN has been compromised or needs rotation. Regenerate the DSN (Data Source Name) for a repository

update_default_branch

This affects which branch is analyzed by default. You must provide the repository ID (from get_repository) and the new branch name (e.g., "main", "develop", "master"). Use this when your team changes the default branch name (e.g., migrating from "master" to "main"). Update the default branch for a repository in DeepSource

Example Prompts for DeepSource in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with DeepSource immediately.

"Show me the overall code quality report card and current issues for the 'api-service' repository in the 'acme-corp' GitHub organization."

"Check for any critical or high severity dependency vulnerabilities in the 'web-frontend' repo and tell me which packages are affected."

"What's the test coverage for our 'backend-api' repository and show me the most recent analysis runs?"

Troubleshooting DeepSource MCP Server with AutoGen

Common issues when connecting DeepSource to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

DeepSource + AutoGen FAQ

Common questions about integrating DeepSource MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call DeepSource tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.