handshake-mcp

handshake-mcp

Enables AI assistants to search and apply for jobs on Handshake, track applications, and research employers using your browser session.

Category
Visit Server

README

handshake-mcp

An MCP server that gives AI assistants like Claude access to Handshake — search jobs, apply, track applications, and research employers through your own browser session.

Disclaimer: This project is independent and unaffiliated with Handshake. Automated access may violate Handshake's Terms of Service. Use for personal productivity only.

Tools

Tool Description
hs_search_jobs Search by keyword, location, or job type
hs_get_job Full description, requirements, salary, deadline
hs_apply Submit an application, attach resume/cover letter
hs_save_job / hs_unsave_job / hs_get_saved_jobs Bookmark management
hs_get_applications / hs_withdraw_application Application tracking
hs_search_employers / hs_get_employer Company research
hs_get_profile Your Handshake student profile
hs_get_documents Uploaded resumes and cover letters

Quick start

With uvx (recommended)

# First-time login
uvx handshake-mcp --login

# Add to Claude Code (~/.claude/.mcp.json)
{
  "mcpServers": {
    "handshake": {
      "command": "uvx",
      "args": ["handshake-mcp"]
    }
  }
}

From source

git clone https://github.com/shahparam11/handshake-mcp-server.git
cd handshake-mcp
uv sync

# First-time login
uv run handshake-mcp --login

Add to ~/.claude/.mcp.json:

{
  "mcpServers": {
    "handshake": {
      "command": "uv",
      "args": ["run", "--project", "/path/to/handshake-mcp", "handshake-mcp"]
    }
  }
}

Restart Claude Code. The hs_* tools are now available.

With Docker

docker build -t handshake-mcp .

# Login (mounts session storage)
docker run -it -v ~/.handshake-mcp:/root/.handshake-mcp handshake-mcp --login

# Run as MCP server
docker run -i -v ~/.handshake-mcp:/root/.handshake-mcp handshake-mcp

CLI

handshake-mcp --login    # authenticate via browser
handshake-mcp --status   # check session validity
handshake-mcp --logout   # clear saved session
handshake-mcp --version  # print version

How it works

On --login, a Patchright Chromium browser opens. After you log in, the full browser profile (cookies, localStorage, IndexedDB) is saved to ~/.handshake-mcp/. Subsequent tool calls use these cookies via an httpx client against Handshake's internal REST API at app.joinhandshake.com/api/v1/.

CSRF protection uses the double-submit cookie pattern — the CSRF-TOKEN cookie value is reflected back as the X-CSRF-Token request header.

Note: Handshake's internal API is undocumented. If a tool returns 404, open browser DevTools on Handshake → Network tab, find the matching request path, and update the relevant handshake_mcp/tools/*.py file.

Session refresh

handshake-mcp --login

Project layout

handshake_mcp/
├── cli_main.py       # Entry point — --login/--logout/--status/server
├── server.py         # FastMCP server factory
├── auth.py           # Patchright login + profile/cookie storage
├── client.py         # Authenticated httpx client
├── exceptions.py     # CredentialsNotFoundError, SessionExpiredError
└── tools/
    ├── jobs.py           # hs_search_jobs, hs_get_job, hs_apply, hs_save/unsave/get_saved_jobs
    ├── employers.py      # hs_search_employers, hs_get_employer
    ├── applications.py   # hs_get_applications, hs_withdraw_application
    └── profile.py        # hs_get_profile, hs_get_documents

Development

uv sync --group dev
uv run pytest --cov
uv run ruff check .

License

MIT — see LICENSE.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured