handshake-mcp
This MCP server gives AI assistants access to the Handshake student job platform through an authenticated browser session, enabling the following:
Search jobs — Find postings by keywords, location, or job type (full-time, part-time, internship, co-op, fellowship, volunteer)
View job details — Retrieve full descriptions, requirements, salary, application deadlines, and application method
Apply to jobs — Submit applications with optional resume/cover letter attachments (excludes external-apply jobs)
Track applications — View submitted applications and their statuses (pending, accepted, declined, withdrawn, interview), with optional filtering; withdraw applications as needed
Manage saved jobs — Bookmark jobs, remove bookmarks, and list all saved postings
Research employers — Search companies by name or industry, and view profiles including description, industry, employee count, and open positions
Access your profile — View your Handshake student profile (name, school, major, graduation year, account status)
Manage documents — List uploaded resumes, cover letters, and other files, and retrieve their IDs for use when applying
Provides tools to search jobs, apply, track applications, and research employers on Handshake.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@handshake-mcp search for software engineering internships in San Francisco"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 |
| Search by keyword, location, or job type |
| Full description, requirements, salary, deadline |
| Submit an application, attach resume/cover letter |
| Save / unsave jobs (follow) |
| Application tracking |
| Company research (keyword search) |
| Your Handshake student profile |
| Manage resumes and cover letters |
Related MCP server: instaffo-mcp-server
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 --loginAdd 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-mcpCLI
handshake-mcp --login # authenticate via browser
handshake-mcp --status # check session validity
handshake-mcp --logout # clear saved session
handshake-mcp --version # print versionHow 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/stu/.
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/*.pyfile.
Session refresh
handshake-mcp --loginProject 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_job
├── employers.py # hs_search_employers, hs_get_employer
├── applications.py # hs_get_applications, hs_withdraw_application
└── profile.py # hs_get_profile, hs_upload/get/delete_documentDevelopment
uv sync --group dev
uv run pytest --cov
uv run ruff check .License
MIT — see LICENSE.
Available Tools
12 toolshs_applyA
Submit a Handshake application for a job.
Call hs_get_job first to confirm the application_method field — external-apply jobs redirect to the employer's own site and cannot be submitted here.
Inputs: job_id (required), document_ids. Returns: object
hs_get_applicationsA
List all your Handshake job applications with their current status.
Statuses: pending, accepted, declined, withdrawn, interview.
Inputs: page, per_page, status. Returns: object
hs_get_documentsA
List your uploaded resumes, cover letters, and other documents.
Use the returned document IDs when calling hs_apply to attach files.
Inputs: no named parameters. Returns: object
hs_get_employerA
Get a company's Handshake profile.
Includes description, industry, employee count, open job count, and active postings.
Inputs: employer_id (required). Returns: object
hs_get_jobA
Get full details of a Handshake job posting.
Includes description, requirements, salary, application deadline, and application_method (handshake | external).
Inputs: job_id (required). Returns: object
hs_get_profileA
Get your Handshake student profile.
Returns name, school, major, graduation year, and account status.
Inputs: no named parameters. Returns: object
hs_get_saved_jobsB
List all jobs you have bookmarked on Handshake.
Inputs: page, per_page. Returns: object
hs_save_jobA
Bookmark a job posting to your Handshake saved-jobs list.
Inputs: job_id (required). Returns: object
hs_search_employersC
Search for companies/employers on Handshake.
Inputs: query (required), page, per_page. Returns: object
hs_search_jobsA
Search for jobs and internships on Handshake.
Returns posting ID, title, employer, location, type, and deadline. Pass the posting ID to hs_get_job for the full description.
Inputs: query, location, job_types, page, +1 more. Returns: object
hs_unsave_jobA
Remove a job from your Handshake saved-jobs list.
Inputs: saved_job_id (required). Returns: object
hs_withdraw_applicationA
Withdraw a submitted Handshake job application.
Inputs: application_id (required). Returns: object
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 12 tools
Each tool has a clearly distinct purpose: searching, retrieving details, applying, managing saved jobs, and handling applications. No two tools overlap in functionality; even similar actions like get_job and search_jobs are well-differentiated (detail vs. list) with clear guidance in descriptions.
All tools follow a consistent pattern: 'hs_' prefix + verb_noun (e.g., hs_get_job, hs_save_job, hs_search_jobs). Verbs are operational (get, search, save, unsave, apply, withdraw) and nouns are the target resources. No mixing of styles or irregularities.
12 tools is an appropriate number for a Handshake student client. It covers the essential operations (search, retrieve, apply, manage saved jobs and applications, view profile and documents) without being overwhelming or sparse.
The tool set covers the core student workflow comprehensively: search jobs/employers, get details, save/unsave, apply, withdraw, view applications, and manage documents. Minor gaps like updating profile or uploading documents are absent but likely outside the MCP's scope.
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