grad-agent

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Autonomous MCP agent for grad school applications: prof discovery, cold emails, SOP, tracking.

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

PYPI package grad-agent
Claude Code
claude mcp add grad-agent -e 'ANTHROPIC_API_KEY=<your anthropic_api_key>' -e 'SMTP_SERVER=smtp.gmail.com' -e 'SMTP_PORT=587' -e 'SMTP_USERNAME=<SMTP_USERNAME>' -e 'SMTP_PASSWORD=<your smtp_password>' -e 'SMTP_FROM=<SMTP_FROM>' -e 'GITHUB_TOKEN=<your github_token>' -e 'HF_TOKEN=<your hf_token>' -e 'GRAD_AGENT_HOME=~/.grad-agent' -e 'LOR_LETTERHEAD_PATH=<LOR_LETTERHEAD_PATH>' -e 'LOR_LETTERHEAD_WIDTH=2.2in' -- uvx grad-agent==0.2.9
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "grad-agent": {
            "command": "uvx",
            "args": [
                "grad-agent==0.2.9"
            ],
            "env": {
                "ANTHROPIC_API_KEY": "<your anthropic_api_key>",
                "SMTP_SERVER": "smtp.gmail.com",
                "SMTP_PORT": "587",
                "SMTP_USERNAME": "<SMTP_USERNAME>",
                "SMTP_PASSWORD": "<your smtp_password>",
                "SMTP_FROM": "<SMTP_FROM>",
                "GITHUB_TOKEN": "<your github_token>",
                "HF_TOKEN": "<your hf_token>",
                "GRAD_AGENT_HOME": "~/.grad-agent",
                "LOR_LETTERHEAD_PATH": "<LOR_LETTERHEAD_PATH>",
                "LOR_LETTERHEAD_WIDTH": "2.2in"
            }
        }
    }
}

Variables d'environnement

  • ANTHROPIC_API_KEY obligatoire secret Anthropic API key used by Claude Haiku for hook synthesis and verification.
  • SMTP_SERVER obligatoire SMTP host for the review mailer.
  • SMTP_PORT obligatoire SMTP port.
  • SMTP_USERNAME obligatoire SMTP username; used as From address by default.
  • SMTP_PASSWORD obligatoire secret SMTP password. Gmail App Password recommended.
  • SMTP_FROM obligatoire Envelope From address for drafts emailed to the user's review inbox.
  • GITHUB_TOKEN secret Optional. Personal access token used to enumerate the user's public and private GitHub repos during catalog sync.
  • HF_TOKEN secret Optional. HuggingFace token used to enumerate the user's published models and datasets during catalog sync.
  • GRAD_AGENT_HOME Optional. Override the default ~/.grad-agent/ location for profile, programs, secrets, and data.
  • LOR_LETTERHEAD_PATH Optional. Absolute path to a letterhead / company logo image (.png / .jpg / .pdf) embedded at the top of Letters of Recommendation during LaTeX compile. Leave unset for a plain top block. Can also be set at runtime via the `set_letterhead` MCP tool.
  • LOR_LETTERHEAD_WIDTH Optional. LaTeX length for the letterhead image width (e.g. '2.5in'). Used only when LOR_LETTERHEAD_PATH is set.

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. grad-agent
  2. Install
  3. Set up in 5 minutes
  4. Register with Claude Code
  5. Register with Claude Desktop
  6. Daily autonomous run
  7. What each MCP tool does
  8. What the agent will not do
  9. Requirements
  10. Where your data lives
  11. Contributing
  12. Author

grad-agent

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

Discover and draft

  • Discovers professors on arXiv in your research areas, or deadline-driven per program (run_program_batch)
  • Resolves each professor's identity by anchoring on the trigger paper's canonical Semantic Scholar authorId, not the name string — name collisions like "Wei Zhang" are structurally impossible to confuse
  • Refuses to draft when identity cannot be anchored; the specific mismatch (e.g. identity ambiguous: 2 comparable candidates, h=40 vs h=38) is persisted to a skipped sheet for audit
  • Verifies each candidate is actually faculty (h-index and paper-count gates)
  • Filters by region (target_regions: [US, Canada] in your profile; keyword table + homepage TLD + LLM fallback)
  • Scrapes their lab page for a recruiting signal + email address
  • Matches them to your strongest shipped project (tag overlap + TF-IDF semantic layer + learned response-rate bias)
  • Drafts a specific, fact-checked cold email: Claude Haiku writes a hook spanning the prof's recent papers, then a second call verifies every claim against the abstracts and rewrites anything unsupported
  • Scores each draft 1 to 10 for fit, with a one-line reason, so you can triage in seconds
  • Freshness warnings on every draft: cross-checks the S2 affiliation against the prof's live homepage (flags MISMATCH if they may have moved labs) and flags researchers who have not published in 2+ years

Learn and follow through

  • Detects professor replies via read-only IMAP and tags the log automatically
  • Learns from outcomes: projects that earn replies rank up in future matching (outcome_report shows what works)
  • Drafts follow-up nudges for profs silent 10+ days; never nudges the same prof twice
  • Generates an interview prep one-pager when a prof replies: their papers summarised, likely questions, your talking points

Track everything

  • Compiles per-school SOPs to PDF (LaTeX), versioned so no draft is ever overwritten
  • Tracks outreach, LOR requests, program deadlines, and external scholarships (Mastercard, Commonwealth, Fulbright, Rhodes, and more) in xlsx/yaml
  • Emails every draft to your inbox for review; nothing is ever sent to a professor without you

Bundled Claude Code / Claude Desktop skills

Installing grad-agent ships a set of Anthropic Skills you can invoke from any Claude client that supports them (Claude Code, Claude Desktop, MCP-aware IDEs). grad-agent init symlinks them into ~/.claude/skills/ automatically; to (re)install without running init, use grad-agent install-skills (add --force to replace existing entries, or --target <dir> to link elsewhere).

  • sop-writing — rules for MS/PhD Statement of Purpose drafting, synthesized from MIT CommLab, MIT CAPD, Berkeley Grad Div, Harvard GSAS, Stanford, and CS-faculty guides. Pairs with the LaTeX SOP compile step.
  • lor-writing — rules for letters of recommendation, including the common case where the applicant ghost-drafts a letter for a recommender to sign. Encodes multi-letter differentiation, recommender realism, HHMI bias hygiene, and a banned-phrase regex sweep. Supports an optional letterhead / company logo via the LOR_LETTERHEAD_PATH env var (with LOR_LETTERHEAD_WIDTH, default 2.2in) so the LaTeX compile drops your image into the top of the letter — leave it unset for a plain top block the recommender can paste onto their own letterhead. grad-agent init will prompt for the letterhead path interactively; to change it later (or swap letterheads between recommenders) run grad-agent set-letterhead /path/to/image.png --width 2.5in (pass no path to clear it).
  • Cold-email drafter (grad_agent/drafters/cold_email.py) — rewritten around PhD outreach best-practices (specific paper anchor, one concrete overlap, no un-anchored superlatives, no "I read your paper" claims).

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/scholarships.yaml — external scholarships with deadlines (seeded)
  • ~/.grad-agent/.env — secrets template

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

ANTHROPIC_API_KEY=sk-ant-...
SMTP_SERVER=smtp.gmail.com        # presets for Outlook/Yahoo/Zoho in the template
SMTP_PORT=587
SMTP_USERNAME=you@gmail.com
SMTP_PASSWORD=<gmail app password>
SMTP_FROM=you@gmail.com
# Optional:
S2_API_KEY=                       # free Semantic Scholar key, dedicated rate limits
                                  # (client-side throttle already enforces >=1.1s between requests)
IMAP_SERVER=imap.gmail.com        # read-only reply detection; defaults to SMTP creds
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, ...]
  • target_regions: [US, Canada] — only draft for profs in these regions (empty = anywhere)
  • seed_projects: 3 to 10 flagship projects with name, pitch, link, tags

Profile edits apply immediately, even while a long-running MCP session is open.

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                              # macOS/Linux: opens ~/.local/bin on PATH
                                             # Windows: opens %USERPROFILE%\.local\bin on PATH
claude mcp add grad-agent grad-agent server

On Windows you may need to open a new PowerShell or Terminal window after pipx ensurepath for the PATH change to take effect.

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 ~36 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

The package ships scheduler templates for all three OSes. grad-agent schedule emits the right one for your platform:

grad-agent schedule --dest .

Then follow the install instructions the command prints. In case you want them up front:

macOS (launchd):

cp com.gradagent.daily.plist ~/Library/LaunchAgents/
launchctl load ~/Library/LaunchAgents/com.gradagent.daily.plist

Linux (systemd user timer, fires at 08:00 local):

mkdir -p ~/.config/systemd/user
cp grad-agent-daily.service grad-agent-daily.timer ~/.config/systemd/user/
systemctl --user daemon-reload
systemctl --user enable --now grad-agent-daily.timer

Windows (Task Scheduler):

# In an elevated PowerShell prompt:
schtasks /Create /TN "grad-agent-daily" /XML .\grad-agent-daily.xml

Or import the XML via the Task Scheduler GUI (Action → Import Task).

Every morning: replies auto-detected via IMAP, follow-up nudges drafted for silent profs, 3 identity-verified faculty leads with fit scores (best fit first), hooks fact-checked against paper abstracts, freshness warnings when a prof's S2 record and live homepage disagree, plus program and scholarship deadline warnings — all in one review email. Skipped leads are persisted with the specific mismatch reason (view with skipped_log_view or open the skipped sheet).

What each MCP tool does

ToolPurpose
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_markRecommendation-letter tracker
run_program_batch(program_id, n)Deadline-driven batch: draft for one program's faculty
skipped_log_view(limit)Audit trail of skipped leads with the specific stage + mismatch reason
s2_cache_invalidate(query, all)Selectively purge Semantic Scholar cache entries by author name or id
followups_due(days)Drafted nudges for profs silent 10+ days
outreach_mark_followup(prof)Record a sent nudge (never nudged twice)
outreach_mark_response(prof, outcome)Tag replies; feeds the matcher's learning loop
outcome_report()Response rates by area and project
ingest_replies()Read-only IMAP scan; auto-tags replies in the log
interview_prep(prof)One-page brief: their papers, likely questions, your talking points
list_scholarships(region)External scholarships filtered by eligibility region
upcoming_scholarship_deadlines(days)Scholarship deadlines approaching
draft_cold_email(...)Manual per-prof draft
draft_sop(...)Compile a Columbia-style SOP PDF (versioned: sop_v1, v2, ...)
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.
  • Touch your inbox beyond reading. IMAP access is read-only: it never sends, deletes, or marks messages.
  • Fabricate a paper claim. The hook goes through a second Claude call that rejects any claim not present in the abstracts, and rewrites.
  • Email the same professor twice. Deduplication is keyed on the Semantic Scholar authorId, with a name fallback for legacy rows, and follow-ups are marked so no prof is nudged more than once.
  • Draft for the wrong person when two profs share a name. Identity is resolved from the trigger paper's authorId, not the name string; ambiguous cases are refused and logged.
  • Hide why a lead was rejected. Every skip is persisted to the skipped sheet in outreach_log.xlsx with the stage (identity, faculty-gate, region, dedup, no-papers) and the exact mismatch — not buried in old review emails.
  • Exceed Semantic Scholar's rate limit. Client-side throttle enforces ≥1.1s between requests, with exponential backoff on any 429 or 5xx.
  • Draft for programs you are ineligible for. If your degree_status is bachelors, PhD programs that require an MSc first are filtered out. Same gate for scholarships outside your eligibility region.

Requirements

  • Python 3.10+
  • macOS, Linux, or Windows (all three tested in CI on 3.10 / 3.11 / 3.12)
  • pdflatex on PATH if you want SOP PDFs (macOS: MacTeX; Ubuntu: texlive-latex-recommended; Windows: MiKTeX)
  • 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 (regions, seed projects, ...)
  programs.yaml        target programs with eligibility rules + deadlines
  scholarships.yaml    external scholarships with region eligibility + deadlines
  .env                 secrets (gitignored)
  data/
    outreach_log.xlsx  outreach sheet (drafts + outcomes) + skipped sheet (audit trail)
    lor_log.xlsx       recommendation-letter tracker
    catalog.json       synced projects (GitHub + HF + local)
    s2_cache.json      Semantic Scholar lookups (14 day TTL)
    region_cache.json  LLM-inferred regions for unusual affiliations
    db.sqlite          drafts + status
  drafts/              per-school SOP versions + email drafts
    prep/              interview prep one-pagers

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/

Questions fréquentes

Qu'est-ce que grad-agent ?

Autonomous MCP agent for grad school applications: prof discovery, cold emails, SOP, tracking.

Comment installer grad-agent ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add grad-agent -e 'ANTHROPIC_API_KEY=<your anthropic_api_key>' -e 'SMTP_SERVER=smtp.gmail.com' -e 'SMTP_PORT=587' -e 'SMTP_USERNAME=<SMTP_USERNAME>' -e 'SMTP_PASSWORD=<your smtp_password>' -e 'SMTP_FROM=<SMTP_FROM>' -e 'GITHUB_TOKEN=<your github_token>' -e 'HF_TOKEN=<your hf_token>' -e 'GRAD_AGENT_HOME=~/.grad-agent' -e 'LOR_LETTERHEAD_PATH=<LOR_LETTERHEAD_PATH>' -e 'LOR_LETTERHEAD_WIDTH=2.2in' -- uvx grad-agent==0.2.9. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour grad-agent ?

Oui. Il attend ANTHROPIC_API_KEY, SMTP_SERVER, SMTP_PORT, SMTP_USERNAME, SMTP_PASSWORD, SMTP_FROM, GITHUB_TOKEN, HF_TOKEN, à renseigner dans sa configuration.

grad-agent est-il open source ?

Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.

Qui maintient grad-agent ?

Il est publié par i-ninte. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.