workatastartup-mcp

workatastartup-mcp

Enables AI assistants to query Y Combinator startup jobs and companies via the Work at a Startup platform, including advanced filters for skills, salary, equity, and visa sponsorship, plus tools to fetch detailed company and job information.

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Work at a Startup MCP Server ๐Ÿš€

PyPI version MIT License Python 3.10+ MCP Specification

A Model Context Protocol (MCP) server for querying Y Combinator jobs and companies via Work at a Startup.

This MCP server equips AI assistants (Claude Desktop, Cursor, Gemini CLI, Antigravity) with direct access to search YC startups, explore active job listings, inspect tech stacks, filter by required skills, salary ranges, equity, and US visa sponsorship status.


๐Ÿ› ๏ธ Features & Available Tools

The server provides 4 FastMCP tools:

  1. search_jobs: Search YC startup job listings with advanced filters.

    • query (str): Search term (e.g. "backend", "AI agent", "Rust").
    • role (Optional[str]): Functional role ("eng", "design", "product", "ops", "sales", "marketing").
    • eng_type (Optional[str]): Engineering specialization ("be", "fe", "fs", "ml", "mobile").
    • job_type (Optional[str]): Employment type (e.g. "fulltime", "contract").
    • min_experience (Optional[int]): Maximum required experience level in years (min_experience <= N).
    • max_team_size (Optional[int]): Maximum company team size (company_team_size <= N).
    • batch (Optional[str]): YC Batch (e.g. "W24", "S23").
    • remote (bool): Filter for remote positions (True / False).
    • visa (bool): Filter for US visa sponsorship (True / False).
    • page (int): Page index (default 0).
    • limit (int): Number of companies per page (default 10).
  2. get_company_details: Fetch detailed YC company profile & open roles.

    • company_id (int): Unique YC company ID.
    • Returns: YC Batch, website, team size, location, founders, tech stack description, and active open job listings.
  3. get_job_details: Retrieve full details for a specific job listing.

    • job_id (int): Unique job ID.
    • Returns: Full job description (Markdown), role type, experience level, salary range, equity range, visa status, required skills, and direct application URL.
  4. filter_jobs_by_skills: Filter active jobs matching a list of target technologies/skills.

    • skills (List[str]): List of skills/technologies (e.g., ["Python", "PyTorch", "PostgreSQL"]).
    • limit (int): Maximum number of matching jobs to return (default 10).

๐Ÿ’ป Quick Start & Installation

Option 1: Using uvx or pipx (Recommended)

Run instantly without cloning or manually installing:

uvx workatastartup-mcp

Option 2: Using pip

pip install workatastartup-mcp
workatastartup-mcp

Option 3: Development / Source Installation

git clone https://github.com/MIt9/workatastartup-mcp.git
cd workatastartup-mcp

python3 -m venv .venv
source .venv/bin/activate
pip install -e .

โš™๏ธ Configuration for MCP Clients

Claude Desktop

Add to your claude_desktop_config.json:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "workatastartup": {
      "command": "uvx",
      "args": [
        "workatastartup-mcp"
      ]
    }
  }
}

Cursor / VS Code / Gemini CLI / Antigravity

{
  "mcpServers": {
    "workatastartup": {
      "command": "uvx",
      "args": [
        "workatastartup-mcp"
      ]
    }
  }
}

๐Ÿงช Running Tests

# Run unit & integration tests
.venv/bin/pytest

# Run fast unit tests only (skip live API calls)
.venv/bin/pytest -m "not integration"

๐Ÿ“œ License

Distributed under the MIT License.

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