Work at a Startup MCP Server 🚀
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.
🛠️ Features & Available Tools
The server provides 4 FastMCP tools:
-
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 (default0).limit(int): Number of companies per page (default10).
-
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.
-
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.
-
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 (default10).
💻 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 .
⚙️ 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"
]
}
}
}
🧪 Running Tests
# Run unit & integration tests
.venv/bin/pytest
# Run fast unit tests only (skip live API calls)
.venv/bin/pytest -m "not integration"
📜 License
Distributed under the MIT License.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file workatastartup_mcp-0.1.2.tar.gz.
File metadata
- Download URL: workatastartup_mcp-0.1.2.tar.gz
- Upload date:
- Size: 16.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
uv/0.5.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
284e9b0e3d2022751974ce75bdc7b317acf83acf44a6a1ff8bb58b341c265a53
|
|
| MD5 |
dd367f3a27d8479cf923ecfcde73367a
|
|
| BLAKE2b-256 |
a5fca4292ecaffd549bc25056573ba7f3c7044a6bf42b5829f5bed4e692b254e
|
File details
Details for the file workatastartup_mcp-0.1.2-py3-none-any.whl.
File metadata
- Download URL: workatastartup_mcp-0.1.2-py3-none-any.whl
- Upload date:
- Size: 11.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
uv/0.5.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e38ba62eecaea28a8c4a8aba9d9806e1f5a9e808da41caad02d911c57bdf0e7e
|
|
| MD5 |
f226bec379ce522363e40de86c58056e
|
|
| BLAKE2b-256 |
d539120148a017b4556c5202d2a72d8d591483077ee08425ac9f38c9a9e2f169
|