Skip to main content

Autonomous MCP agent for graduate school applications: prof discovery + verified cold emails + SOP drafting + application tracking.

Project description

grad-agent

An autonomous MCP agent that helps you apply to fully funded MS and PhD programs.

  • Discovers professors on arXiv in your research areas
  • Verifies each candidate is actually faculty (Semantic Scholar, h-index, papers)
  • Scrapes their lab page for a recruiting signal + email address
  • Matches them to your strongest shipped project
  • Drafts a specific, fact-checked cold email (Claude Haiku authors + verifies claims against paper abstracts)
  • Compiles a per-school SOP to PDF (LaTeX)
  • Tracks everything in xlsx: outreach, LOR requests, program deadlines
  • Emails every draft to your inbox for review; nothing is sent to a professor without you

Runs as a stdio MCP server for Claude Code / Claude Desktop / any MCP client, or as a plain CLI.

Published on:

Install

Pick one:

# Recommended for MCP clients (Claude Desktop, Claude Code, etc.)
uvx grad-agent server      # single-shot, no persistent install

# Persistent CLI install
pipx install grad-agent

# Or in a venv
python3 -m venv .venv && source .venv/bin/activate
pip install grad-agent

Set up in 5 minutes

grad-agent init

This writes:

  • ~/.grad-agent/profile.yaml — your identity, projects, preferences
  • ~/.grad-agent/programs.yaml — target programs (seeded)
  • ~/.grad-agent/.env — secrets template

Fill in ~/.grad-agent/.env:

ANTHROPIC_API_KEY=sk-ant-...
SMTP_SERVER=smtp.gmail.com
SMTP_PORT=587
SMTP_USERNAME=you@gmail.com
SMTP_PASSWORD=<gmail app password>
SMTP_FROM=you@gmail.com
# Optional:
GITHUB_USERNAME=your-gh
GITHUB_TOKEN=github_pat_...
HF_USERNAME=your-hf

Fill in the important bits of ~/.grad-agent/profile.yaml:

  • name, identity_line, portfolio
  • cv_path, transcript_path (absolute paths)
  • degree_status: bachelors | masters (drives PhD eligibility gating)
  • target_term, target_degree
  • research_areas: [nlp, ai4health, ...]
  • seed_projects: 3 to 10 flagship projects with name, pitch, link, tags

Then:

grad-agent sync        # scan projects (GitHub + HF + local)
grad-agent run         # one batch, drafts land in your inbox

Register with Claude Code

Three commands, in order:

pipx install grad-agent
pipx ensurepath                              # opens ~/.local/bin on PATH
claude mcp add grad-agent grad-agent server

Prefer a zero-install one-liner? Skip pipx and use uvx:

claude mcp add grad-agent uvx grad-agent server

Then in a new Claude Code session:

/mcp

You should see grad-agent connected with ~25 tools. Before it does anything useful, run grad-agent init (or uvx grad-agent init) and fill in ~/.grad-agent/.env and ~/.grad-agent/profile.yaml as described in the setup section above.

If you skipped pipx ensurepath, grad-agent register-claude prints an absolute-path variant of the command that works without PATH changes.

Register with Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "grad-agent": {
      "command": "uvx",
      "args": ["grad-agent", "server"]
    }
  }
}

The uvx command needs no prior install. If you already ran pipx install grad-agent, you can use "command": "grad-agent", "args": ["server"] instead.

Any other MCP client (Cursor, Zed, Windsurf) uses the same manifest shape; just point them at uvx grad-agent server.

Daily autonomous run (macOS)

The package ships a launchd plist template. To fire every day at 08:00:

cp /path/to/grad_agent/templates/com.gradagent.daily.plist ~/Library/LaunchAgents/
launchctl load ~/Library/LaunchAgents/com.gradagent.daily.plist

Every morning: 3 verified faculty leads, hooks fact-checked against paper abstracts, in your inbox for review.

What each MCP tool does

Tool Purpose
run_daily_batch(n, area) Full pipeline: verify → recruiting → hook + verify → draft → log
outreach_log_view(limit) Show last N rows of the outreach xlsx
outreach_mark_sent(prof, uni) Flag a row as actually sent to the prof
sync_catalog(source) Pull projects from github, hf, or local
list_projects_in_catalog() Show every project the matcher can see
list_programs() Your target programs
upcoming_deadlines(days) Any program deadline in the next N days
lor_add / lor_outstanding / lor_mark Recommendation-letter tracker
draft_cold_email(...) Manual per-prof draft
draft_sop(...) Compile a Columbia-style SOP PDF for one school
send_draft_to_me(path) Ship any draft file to your review inbox
discover_profs(area) arXiv + OpenReview scan (raw candidates, no verification)

Blog publishing tools (publish_article, update_article, ...) are gated behind blog.enabled: true in profile.yaml and are specific to the author's Turso-backed Next.js portfolio. Most users can ignore them.

What the agent will not do

  • Send any email to a professor. Every send is manual, from your Gmail, after you read the draft.
  • Fabricate a paper claim. The hook goes through a second Claude call that rejects any claim not present in the abstracts, and rewrites.
  • Draft for programs you are ineligible for. If your degree_status is bachelors, PhD programs that require an MSc first are filtered out.

Requirements

  • Python 3.10+
  • macOS or Linux (Windows untested)
  • pdflatex on PATH if you want SOP PDFs (macOS: MacTeX; Ubuntu: texlive-latex-recommended)
  • Anthropic API key
  • Gmail (or another SMTP) for the review-mailer

Where your data lives

Everything is under ~/.grad-agent/ by default, or $GRAD_AGENT_HOME if set:

~/.grad-agent/
  profile.yaml         identity + preferences
  programs.yaml        target programs
  .env                 secrets (gitignored)
  data/
    outreach_log.xlsx  every prof surfaced or drafted
    lor_log.xlsx       recommendation-letter tracker
    catalog.json       synced projects (GitHub + HF + local)
    db.sqlite          drafts + status
  drafts/              per-school SOP + email drafts

Contributing

MIT licensed. PRs welcome for: more program templates, non-Gmail SMTP presets, non-arXiv source adapters, and better prof-verification heuristics.

Author

Kwabena Obeng · i-ninte.github.io/portfolio/

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

grad_agent-0.1.3.tar.gz (43.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

grad_agent-0.1.3-py3-none-any.whl (53.9 kB view details)

Uploaded Python 3

File details

Details for the file grad_agent-0.1.3.tar.gz.

File metadata

  • Download URL: grad_agent-0.1.3.tar.gz
  • Upload date:
  • Size: 43.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for grad_agent-0.1.3.tar.gz
Algorithm Hash digest
SHA256 62dbbc504f334c2e90f2ba1d6ac134ea529a7c66c2801431fbffed9c409eea12
MD5 ef3c9dc5c3b4474e1b30dfd35ee132c1
BLAKE2b-256 5d33520623dc0b38a81d5de66f134d7f309d8bc1cfd455e29d811f812c61baa1

See more details on using hashes here.

File details

Details for the file grad_agent-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: grad_agent-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 53.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for grad_agent-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 1a952ae7baa4415deb733a8ea4b88a93aebbe8d9f65ee86a765f8be9debde7ba
MD5 d887f7a336d64267a35eb11f42256f78
BLAKE2b-256 1ec34dbdf19339cca8864811f75aa76f5e4b46ce2dafa3accdc550613f5a7976

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page