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 LlamaIndex 14 tools — connect in under 2 minutes

Name: DeepSource
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 14 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DeepSource as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to DeepSource. "
            "You have 14 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in DeepSource?"
    )
    print(response)

asyncio.run(main())

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* 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.

LlamaIndex agents combine DeepSource tool responses with indexed documents for comprehensive, grounded answers. Connect 14 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 14 tools from DeepSource

Why Use LlamaIndex with the DeepSource MCP Server

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

Data-first architecture: LlamaIndex agents combine DeepSource tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain DeepSource tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query DeepSource, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what DeepSource tools were called, what data was returned, and how it influenced the final answer

DeepSource + LlamaIndex Use Cases

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

Hybrid search: combine DeepSource real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query DeepSource to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying DeepSource for fresh data

Analytical workflows: chain DeepSource queries with LlamaIndex's data connectors to build multi-source analytical reports

DeepSource MCP Tools for LlamaIndex (14)

These 14 tools become available when you connect DeepSource to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

DeepSource + LlamaIndex FAQ

Common questions about integrating DeepSource MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query DeepSource tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.