DeepSource MCP Server

A Model Context Protocol (MCP) server that integrates with DeepSource to provide AI assistants with access to code quality metrics, issues, and analysis results.

Table of Contents

• Overview
• Quick Start
• Installation
• Configuration
• Available Tools
• Usage Examples
• Architecture
• Development
• Troubleshooting & FAQ
• Contributing
• License
• External Resources

Overview

The DeepSource MCP Server enables AI assistants like Claude to interact with DeepSource's code quality analysis capabilities through the Model Context Protocol. This integration allows AI assistants to:

• Retrieve code metrics and analysis results
• Access and filter issues by analyzer, path, or tags
• Check quality status and set thresholds
• Analyze project quality over time
• Access security compliance reports (OWASP, SANS, MISRA-C)
• Monitor dependency vulnerabilities
• Manage quality gates and thresholds

Quick Start

1. Get Your DeepSource API Key

1. Log in to your DeepSource account
2. Navigate to Settings → API Access
3. Click Generate New Token
4. Copy your API key and keep it secure

2. Install in Claude Desktop

1. Open Claude Desktop
2. Go to Settings → Developer → Edit Config
3. Add this configuration to the mcpServers section:

{
  "mcpServers": {
    "deepsource": {
      "command": "npx",
      "args": ["-y", "deepsource-mcp-server@latest"],
      "env": {
        "DEEPSOURCE_API_KEY": "your-deepsource-api-key"
      }
    }
  }
}

4. Restart Claude Desktop

3. Test Your Connection

Ask Claude: "What DeepSource projects do I have access to?"

If configured correctly, Claude will list your available projects.

Installation

NPX (Recommended)

The simplest way to use the DeepSource MCP Server:

{
  "mcpServers": {
    "deepsource": {
      "command": "npx",
      "args": ["-y", "deepsource-mcp-server@latest"],
      "env": {
        "DEEPSOURCE_API_KEY": "your-deepsource-api-key",
        "LOG_FILE": "/tmp/deepsource-mcp.log",
        "LOG_LEVEL": "INFO",
        "RETRY_MAX_ATTEMPTS": "3",
        "RETRY_BASE_DELAY_MS": "1000",
        "RETRY_MAX_DELAY_MS": "30000",
        "RETRY_BUDGET_PER_MINUTE": "10",
        "CIRCUIT_BREAKER_THRESHOLD": "5",
        "CIRCUIT_BREAKER_TIMEOUT_MS": "30000"
      }
    }
  }
}

Docker

For containerized environments:

{
  "mcpServers": {
    "deepsource": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DEEPSOURCE_API_KEY",
        "-e",
        "LOG_FILE=/tmp/deepsource-mcp.log",
        "-v",
        "/tmp:/tmp",
        "sapientpants/deepsource-mcp-server"
      ],
      "env": {
        "DEEPSOURCE_API_KEY": "your-deepsource-api-key"
      }
    }
  }
}

Local Development

For development or customization:

{
  "mcpServers": {
    "deepsource": {
      "command": "node",
      "args": ["/path/to/deepsource-mcp-server/dist/index.js"],
      "env": {
        "DEEPSOURCE_API_KEY": "your-deepsource-api-key",
        "LOG_FILE": "/tmp/deepsource-mcp.log",
        "LOG_LEVEL": "DEBUG"
      }
    }
  }
}

Configuration

Environment Variables

Variable	Required	Default	Description
DEEPSOURCE_API_KEY	Yes	-	Your DeepSource API key for authentication
LOG_FILE	No	-	Path to log file. If not set, no logs are written
LOG_LEVEL	No	DEBUG	Minimum log level: DEBUG, INFO, WARN, ERROR
RETRY_MAX_ATTEMPTS	No	3	Maximum number of retry attempts for failed requests
RETRY_BASE_DELAY_MS	No	1000	Base delay in milliseconds for exponential backoff
RETRY_MAX_DELAY_MS	No	30000	Maximum delay in milliseconds between retries
RETRY_BUDGET_PER_MINUTE	No	10	Maximum retries allowed per minute across all operations
CIRCUIT_BREAKER_THRESHOLD	No	5	Number of failures before circuit breaker opens
CIRCUIT_BREAKER_TIMEOUT_MS	No	30000	Time in milliseconds before circuit breaker attempts recovery

Performance Considerations

• Pagination: Use appropriate page sizes (10-50 items) to balance response time and data completeness
• Automatic Retry: The server implements intelligent retry logic with:
  • Exponential backoff with jitter to prevent thundering herd
  • Circuit breaker pattern to prevent cascade failures
  • Retry budget to limit resource consumption
  • Respect for Retry-After headers from the API
• Rate Limits: Rate-limited requests (429) are automatically retried with appropriate delays
• Fault Tolerance: Transient failures (network, 502, 503, 504) are handled gracefully
• Caching: Results are not cached. Consider implementing caching for frequently accessed data

Available Tools

1. projects

List all available DeepSource projects.

Parameters: None

Example Response:

[
  {
    "key": "https://api-key@app.deepsource.com",
    "name": "my-python-project"
  }
]

2. project_issues

Get issues from a DeepSource project with filtering and pagination.

Parameter	Type	Required	Description
projectKey	string	Yes	The unique identifier for the DeepSource project
first	number	No	Number of items to return (forward pagination)
after	string	No	Cursor for forward pagination
last	number	No	Number of items to return (backward pagination)
before	string	No	Cursor for backward pagination
path	string	No	Filter issues by file path
analyzerIn	string[]	No	Filter by analyzers (e.g., ["python", "javascript"])
tags	string[]	No	Filter by issue tags

Example Response:

{
  "issues": [
    {
      "id": "T2NjdXJyZW5jZTpnZHlqdnlxZ2E=",
      "title": "Avoid using hardcoded credentials",
      "shortcode": "PY-D100",
      "category": "SECURITY",
      "severity": "CRITICAL",
      "file_path": "src/config.py",
      "line_number": 42
    }
  ],
  "totalCount": 15,
  "pageInfo": {
    "hasNextPage": true,
    "endCursor": "YXJyYXljb25uZWN0aW9uOjQ="
  }
}

3. runs

List analysis runs for a project with filtering.

Parameter	Type	Required	Description
projectKey	string	Yes	The unique identifier for the DeepSource project
first	number	No	Number of items to return (forward pagination)
after	string	No	Cursor for forward pagination
last	number	No	Number of items to return (backward pagination)
before	string	No	Cursor for backward pagination
analyzerIn	string[]	No	Filter by analyzers

4. run

Get details of a specific analysis run.

Parameter	Type	Required	Description
projectKey	string	Yes	The unique identifier for the DeepSource project
runIdentifier	string	Yes	The runUid (UUID) or commitOid (commit hash)
isCommitOid	boolean	No	Whether runIdentifier is a commit hash (default: false)

5. recent_run_issues

Get issues from the most recent analysis run on a branch.

Parameter	Type	Required	Description
projectKey	string	Yes	The unique identifier for the DeepSource project
branchName	string	Yes	The branch name
first	number	No	Number of items to return
after	string	No	Cursor for forward pagination

6. dependency_vulnerabilities

Get security vulnerabilities in project dependencies.

Parameter	Type	Required	Description
projectKey	string	Yes	The unique identifier for the DeepSource project
first	number	No	Number of items to return
after	string	No	Cursor for forward pagination

Example Response:

{
  "vulnerabilities": [
    {
      "id": "VUL-001",
      "package": "requests",
      "version": "2.25.0",
      "severity": "HIGH",
      "cve": "CVE-2021-12345",
      "description": "Remote code execution vulnerability"
    }
  ],
  "totalCount": 3
}

7. quality_metrics

Get code quality metrics with optional filtering.

Parameter	Type	Required	Description
projectKey	string	Yes	The unique identifier for the DeepSource project
shortcodeIn	string[]	No	Filter by metric codes (see below)

Available Metrics:

• LCV - Line Coverage
• BCV - Branch Coverage
• DCV - Documentation Coverage
• DDP - Duplicate Code Percentage
• SCV - Statement Coverage
• TCV - Total Coverage
• CMP - Code Maturity

8. update_metric_threshold

Update the threshold for a quality metric.

Parameter	Type	Required	Description
projectKey	string	Yes	The unique identifier for the DeepSource project
repositoryId	string	Yes	The GraphQL repository ID
metricShortcode	string	Yes	The metric shortcode (e.g., "LCV")
metricKey	string	Yes	The language or context key
thresholdValue	number|null	No	New threshold value, or null to remove

9. update_metric_setting

Update metric reporting and enforcement settings.

Parameter	Type	Required	Description
projectKey	string	Yes	The unique identifier for the DeepSource project
repositoryId	string	Yes	The GraphQL repository ID
metricShortcode	string	Yes	The metric shortcode
isReported	boolean	Yes	Whether to report this metric
isThresholdEnforced	boolean	Yes	Whether to enforce thresholds

10. compliance_report

Get security compliance reports.

Parameter	Type	Required	Description
projectKey	string	Yes	The unique identifier for the DeepSource project
reportType	string	Yes	Type of report (see below)

Available Report Types:

• OWASP_TOP_10 - Web application security vulnerabilities
• SANS_TOP_25 - Most dangerous software errors
• MISRA_C - Guidelines for safety-critical C code
• CODE_COVERAGE - Code coverage report
• CODE_HEALTH_TREND - Quality trends over time
• ISSUE_DISTRIBUTION - Issue categorization
• ISSUES_PREVENTED - Prevented issues count
• ISSUES_AUTOFIXED - Auto-fixed issues count

Usage Examples

Monitor Code Quality Trends

Track your project's quality metrics over time:

"Show me the code coverage trend for my main branch"

This combines multiple tools to:

1. Get recent runs for the main branch
2. Retrieve coverage metrics for each run
3. Display the trend

Set Up Quality Gates

Implement quality gates for CI/CD:

"Set up quality gates: 80% line coverage, 0 critical security issues"

This will:

1. Update the line coverage threshold to 80%
2. Configure enforcement for the threshold
3. Check current critical security issues

Investigate Security Vulnerabilities

Comprehensive security analysis:

"Analyze all security vulnerabilities in my project including dependencies"

This performs:

1. Dependency vulnerability scan
2. Code security issue analysis
3. OWASP Top 10 compliance check
4. Prioritized remediation suggestions

Code Review Assistance

Get AI-powered code review insights:

"What are the most critical issues in the recent commits to feature/new-api?"

This will:

1. Find the most recent run on the branch
2. Filter for critical and high severity issues
3. Group by file and issue type
4. Suggest fixes

Team Productivity Metrics

Track team code quality metrics:

"Show me code quality metrics across all our Python projects"

This aggregates:

1. Coverage metrics per project
2. Issue counts by severity
3. Trends over the last month
4. Team performance insights

Architecture

The DeepSource MCP Server uses modern TypeScript patterns for maintainability and type safety.

Key Components

┌─────────────────┐     ┌──────────────────┐     ┌─────────────────┐
│  Claude/AI      │────▶│   MCP Server     │────▶│  DeepSource API │
│  Assistant      │◀────│  (TypeScript)    │◀────│   (GraphQL)     │
└─────────────────┘     └──────────────────┘     └─────────────────┘

1. MCP Server Integration (src/index.ts)

   • Registers and implements tool handlers
   • Manages MCP protocol communication
   • Handles errors and logging

2. DeepSource Client (src/deepsource.ts)

   • GraphQL API communication
   • Authentication and retry logic
   • Response parsing and validation

3. Type System (src/types/)

   • Branded types for type safety
   • Discriminated unions for state management
   • Zod schemas for runtime validation

Type Safety Features

Branded Types

// Prevent mixing different ID types
type ProjectKey = string & { readonly __brand: 'ProjectKey' };
type RunId = string & { readonly __brand: 'RunId' };

Discriminated Unions

type RunState =
  | { status: 'PENDING'; queuePosition?: number }
  | { status: 'SUCCESS'; finishedAt: string }
  | { status: 'FAILURE'; error?: { message: string } };

Development

Prerequisites

• Node.js 22.19.0 or higher
• pnpm 10.15.1 or higher
• Docker (optional, for container builds)

Setup

# Clone the repository
git clone https://github.com/sapientpants/deepsource-mcp-server.git
cd deepsource-mcp-server

# Install dependencies
pnpm install

# Build the project
pnpm run build

# Run tests
pnpm test

Development Commands

Note: MCP servers communicate via stdio and cannot be run standalone. Use pnpm run inspect for interactive debugging.

Command	Description
pnpm install	Install dependencies
pnpm run build	Build TypeScript code
pnpm run watch	Build in watch mode
pnpm run clean	Remove build artifacts
pnpm run inspect	Debug with MCP Inspector
pnpm test	Run all tests
pnpm test:watch	Run tests in watch mode
pnpm test:coverage	Generate coverage report
pnpm run lint	Check for linting issues
pnpm run lint:fix	Fix linting issues
pnpm run format	Check code formatting
pnpm run format:fix	Fix code formatting
pnpm run check-types	TypeScript type checking
pnpm run ci	Run full CI pipeline

Troubleshooting & FAQ

Common Issues

Authentication Error

Error: Invalid API key or unauthorized access

Solution: Verify your DEEPSOURCE_API_KEY is correct and has necessary permissions.

No Projects Found

Error: No projects found

Solution: Ensure your API key has access to at least one project in DeepSource.

Rate Limit Exceeded

Error: API rate limit exceeded

Solution: The server implements automatic retry. Wait a moment or reduce request frequency.

Pagination Cursor Invalid

Error: Invalid cursor for pagination

Solution: Cursors expire. Start a new pagination sequence from the beginning.

FAQ

Q: Which DeepSource plan do I need? A: The MCP server works with all DeepSource plans. Some features like security compliance reports may require specific plan features.

Q: Can I use this with self-hosted DeepSource? A: Yes, configure the API endpoint in your environment variables (feature coming in v1.3.0).

Q: How do I debug issues? A: Enable debug logging by setting LOG_LEVEL=DEBUG and check the log file specified in LOG_FILE.

Q: Is my API key secure? A: The API key is only stored in your local Claude Desktop configuration and is never transmitted except to DeepSource's API.

Q: Can I contribute custom tools? A: Yes! See the Contributing section for guidelines.

Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Workflow

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Make your changes
4. Run tests (pnpm test)
5. Commit your changes using conventional commits (see below)
6. Push to the branch (git push origin feature/amazing-feature)
7. Open a Pull Request

Commit Message Convention

This project uses Conventional Commits to ensure consistent commit messages. Commits are validated using commitlint.

Format

<type>[optional scope]: <description>

[optional body]

[optional footer(s)]

Types

• feat: New feature
• fix: Bug fix
• docs: Documentation only changes
• style: Changes that don't affect code meaning (formatting, etc)
• refactor: Code change that neither fixes a bug nor adds a feature
• perf: Performance improvements
• test: Adding missing tests or correcting existing tests
• build: Changes that affect the build system or dependencies
• ci: Changes to CI configuration files and scripts
• chore: Other changes that don't modify src or test files
• revert: Reverts a previous commit

Examples

# Feature
git commit -m "feat: add support for filtering issues by severity"

# Bug fix with scope
git commit -m "fix(api): handle null response from DeepSource API"

# Breaking change
git commit -m "feat!: change API response format

BREAKING CHANGE: Response format now uses camelCase instead of snake_case"

Code Standards

• Follow TypeScript best practices
• Maintain test coverage above 80%
• Use meaningful commit messages
• Update documentation for new features

License

MIT - see LICENSE file for details.

External Resources

• Model Context Protocol Specification
• DeepSource Documentation
• DeepSource API Reference

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