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@gscalzo/stackoverflow-mcp

by gscalzo
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TypeScript
Remote

Stackoverflow MCP Server

A Model Context Protocol server for querying Stack Overflow. This server helps AI models find solutions to programming problems by searching Stack Overflow questions and answers.

Features

  • Search by error messages

  • Search by programming language and technology tags

  • Stack trace analysis

  • Filter results by score/votes

  • Include question and answer comments

  • Output in JSON or Markdown format

Installation

You can run the server directly using npx:

npx -y @gscalzo/stackoverflow-mcp

Or install it globally:

npm install -g @gscalzo/stackoverflow-mcp

Configure the Server

Create or modify your MCP settings file:

  • For Claude.app: ~/Library/Application Support/Cursor/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json

  • For Claude Desktop: ~/Library/Application Support/Claude/claude_desktop_config.json

Add the following configuration:

{
  "mcpServers": {
    "stackoverflow": {
      "command": "npx",
      "args": ["-y", "@gscalzo/stackoverflow-mcp"],
      "env": {
        "STACKOVERFLOW_API_KEY": "your-api-key-optional"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Optional: Stack Overflow API Authentication

The server works without authentication but has rate limits. To increase the rate limits:

  1. Get an API key from Stack Apps

  2. Add the API key to your MCP settings configuration

Usage

The server provides three main tools:

1. search_by_error

Searches Stack Overflow for error-related questions:

interface SearchByErrorInput {
  errorMessage: string;          // Required: Error message to search for
  language?: string;            // Optional: Programming language
  technologies?: string[];      // Optional: Related technologies
  minScore?: number;           // Optional: Minimum score threshold
  includeComments?: boolean;    // Optional: Include comments in results
  responseFormat?: "json" | "markdown"; // Optional: Response format
  limit?: number;              // Optional: Maximum number of results
}

2. search_by_tags

Searches Stack Overflow questions by tags:

interface SearchByTagsInput {
  tags: string[];              // Required: Tags to search for
  minScore?: number;          // Optional: Minimum score threshold
  includeComments?: boolean;   // Optional: Include comments in results
  responseFormat?: "json" | "markdown"; // Optional: Response format
  limit?: number;             // Optional: Maximum number of results
}

3. analyze_stack_trace

Analyzes stack traces to find relevant solutions:

interface StackTraceInput {
  stackTrace: string;          // Required: Stack trace to analyze
  language: string;           // Required: Programming language
  includeComments?: boolean;   // Optional: Include comments in results
  responseFormat?: "json" | "markdown"; // Optional: Response format
  limit?: number;             // Optional: Maximum number of results
}

Examples

Searching by Error Message

{
  "name": "search_by_error",
  "arguments": {
    "errorMessage": "TypeError: Cannot read property 'length' of undefined",
    "language": "javascript",
    "technologies": ["react"],
    "minScore": 5,
    "includeComments": true,
    "responseFormat": "markdown",
    "limit": 3
  }
}

Searching by Tags

{
  "name": "search_by_tags",
  "arguments": {
    "tags": ["python", "pandas", "dataframe"],
    "minScore": 10,
    "includeComments": true,
    "responseFormat": "json",
    "limit": 5
  }
}

Analyzing Stack Trace

{
  "name": "analyze_stack_trace",
  "arguments": {
    "stackTrace": "Error: ENOENT: no such file or directory, open 'config.json'\n    at Object.openSync (fs.js:476:3)\n    at Object.readFileSync (fs.js:377:35)",
    "language": "javascript",
    "includeComments": true,
    "responseFormat": "markdown",
    "limit": 3
  }
}

Response Format

JSON Output

Responses include:

  • Question details (title, body, score, tags, etc.)

  • Answers (sorted by votes)

  • Optional comments for both questions and answers

  • Links to the original Stack Overflow posts

Markdown Output

The markdown format provides a nicely formatted view with:

  • Question title and score

  • Question body

  • Comments (if requested)

  • Answers with acceptance status and score

  • Answer comments (if requested)

  • Links to the original posts

Development

  1. Build in watch mode:

npm run watch

  1. Run tests:

npm test

Contributing

  1. Fork the repository

  2. Create a feature branch

  3. Commit your changes

  4. Push to the branch

  5. Create a Pull Request

License

MIT

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maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Issues opened vs closed

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