Career Copilot
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Career Copilot
A small MCP connector that turns your AI assistant into a career coach. It helps you find the right job, change careers, sort out your money and plan ahead, one small step a day.
Works inside the assistant you already use: Claude, ChatGPT, Gemini, Cursor, VS Code, Muse and others.
There is no app to install and nothing to log in to.
It gives you a personal dashboard you can see and customise.
Why we built it · Guided tour · Connect your AI · Setup and deploy · Full spec · Architecture · Design in Figma
1. What it does
You talk to your assistant as usual. Career Copilot gives it four things it doesn't have on its own:
It adds | What that means for you |
Memory | It remembers your goals, work history, applications, deadlines, money and progress between chats |
Structure | Rules that turn emails and interviews into reminders, so nothing slips |
Knowledge | Roles and skills, interview prep, money basics, job hubs by city, live economic data |
A coach | Every day it gives you one small step sized to your energy. Rest days are fine; just never skip twice |
Related MCP server: Workopia
2. How it works
flowchart LR
you(["You"]) <--> ai["Your AI assistant<br/>Claude · ChatGPT · Gemini · Muse"]
ai <--> others["Your other connectors<br/>Gmail · Calendar · Zoom · bank"]
ai -- "MCP" --> cc["Career Copilot<br/>connector"]
cc --> mem[("Your data<br/>one private file per person")]
cc --> kb[("Knowledge<br/>roles · prep · money · cities")]
cc --> dash["Your dashboard<br/>an HTML page on your device"]Your assistant does the talking. Career Copilot never runs an AI model itself. That keeps it light and nearly free to run.
Career Copilot does the remembering and the rules. Each tool is a small function: save a fact, plan a step, check a resume line.
Other connectors feed it, if you want them to. Your assistant reads your email, calendar or bank through your connectors and passes over only the facts that are needed. Career Copilot never logs in anywhere and never asks for passwords.
3. A day with Career Copilot
sequenceDiagram
participant Y as You
participant A as Your assistant
participant C as Career Copilot
Y->>A: "hey"
A->>C: daily_step(energy)
C-->>A: one step, what's due, your streak
A->>Y: "Low energy? Just save one job posting today."
Y->>A: "done"
A->>C: step_done
C-->>A: celebrate · streak 4
Y->>A: "show my dashboard"
A->>C: dashboard
C-->>A: HTML page (also saved on your device)
A->>Y: shows it as an artifact4. Quick start
Option A: one line, on your own computer (free and private)
You need uv installed. Then, for Claude Code:
claude mcp add --scope user career-copilot -- uvx --from git+https://github.com/TusharSamantaray/career-copilot-mcp career-copilot --stdioThat's it. There's nothing to clone. Your data stays in ~/CareerCopilot/
on your computer. For Claude Desktop, Cursor and others, see
CONNECT.md.
Option B: hosted, for claude.ai, ChatGPT and phones
Paste one URL into your assistant's connector settings:
https://<server>/mcp?key=<your-key>claude.ai: Settings → Connectors → Add custom connector.
ChatGPT: Settings → Apps & Connectors → Advanced → Developer mode → Create.
You get the URL from the marketplace, or from your own deployment (SETUP.md).
Option C: from source (for developers)
git clone https://github.com/TusharSamantaray/career-copilot-mcp.git
cd career-copilot-mcp
uv sync
claude mcp add career-copilot -- uv run --directory "$PWD" app.py --stdioOn Windows, powershell -ExecutionPolicy Bypass -File scripts/setup.ps1
does all of this for you.
Then say: "get started". Career Copilot asks five quick questions and builds your dashboard. Say "give me the tour" at any time.
5. What you can ask
Say something like | What happens |
"What's my one thing today? Energy is low." | A 5-minute step, plus your streak |
"Which roles fit me? I know Python, SQL and Excel." | Your best-fit roles and the skills you're missing |
"I'm in sales and want to move into product." | A career-move plan with stepping stones and a timeline |
"Should I move cities for this?" | Ranked job hubs, the remote option, visa and cost cautions |
"Here are my job emails. Update my pipeline." | Applications, rejections, interviews and deadlines sorted, after you say yes |
"Help me prep for Friday's interview." | Stories from your bank, likely questions, a thank-you draft |
"How long can I last without a job?" | Runway, money you can reach vs money that's locked, flags |
"Show my dashboard." | Your visual dashboard as an artifact, also saved on your device |
6. Your dashboard
The dashboard is a single HTML file built from your own data:
Tab | What it shows |
Today | Your one step, a weekly momentum ring, and what's due |
Pipeline | Applications by stage: applied → assessment → interviewing → offer → closed |
Prep | Your story bank and the interview themes still to cover |
Money | Net worth, money you can reach vs money that's locked, runway, goals |
Direction | Where you are, where you're going, your next steps |
Where it lives. When Career Copilot runs on your computer, the file is saved to
~/CareerCopilot/dashboard.html. In any chat, your assistant also shows it as an artifact.Customise it. Change the colours in the
:rootblock at the top of the file, and pick tabs withSHOW_TABSnear the bottom.Try it without setup. Open the demo built from test data: docs/assets/dashboard-demo.html.
Stuck? Empty sections tell you what to ask, so the dashboard doubles as a guided tour.
7. Your data and privacy
flowchart LR
src["Your email, calendar, bank<br/>(through your own connectors)"] -- "only needed facts" --> cc["Career Copilot"]
cc --> store[("Your private file<br/>export or delete any time")]
cc -- "anonymous counts only" --> sig[("Usage signals<br/>k ≥ 5 users")]
cc -. "never" .-> x["Passwords · account numbers ·<br/>raw emails · selling data"]One private file per person.
data_exportgives you everything;data_deleteerases it all, including your anonymous usage signals.No logins. No passwords, no one-time codes, no bank logins. Account numbers and IDs are dropped on import.
Logs are masked. Money amounts, emails, moods and lists never appear in server logs; tests check this.
Honest limits. Money, tax, visa and relocation answers are education, not advice.
Safety first. If someone mentions self-harm, Career Copilot shares crisis lines instead of a task.
8. How it gets better on its own
flowchart LR
use["Anonymous signals<br/>tool errors · missing roles · ratings"] --> bot["Weekly GitHub Action<br/>Claude edits copilot/knowledge/ only"]
bot --> tests["5 test suites<br/>+ personal-data and injection checks"]
tests -- "pass, knowledge only" --> live["Auto-merge → redeploy"]
tests -- "anything else" --> pr["Pull request for a human"]9. System specs
Item | Value |
Language | Python 3.11+ |
Framework | FastMCP 2.x |
Protocol | Model Context Protocol: stdio (local) or streamable HTTP at |
Surface | 60 tools, 7 resources, 13 starter prompts |
Storage | SQLite, one file per user ( |
Auth (hosted) | One API key per subscriber ( |
Network calls out | World Bank API only (public, no key, cached 6 hours) |
AI model costs | None: the user's own assistant runs the model |
Dependencies |
|
Health check |
|
Default port | 8080 ( |
Tests | 5 suites, 140+ checks, run on every change |
Hosting cost | $0–$49 a month for the whole service (costs) |
10. Project layout
app.py Entry point: registers every tool, auth, logging
copilot/ The logic, one small module per area
coach.py Daily step, momentum, life compass, crisis safety
careers.py Resumes, contributions, LinkedIn, roles, career moves
places.py Where to move for a role
autopilot.py Pipeline rules → reminders; email and calendar intake
triage.py Sorts job emails and calendar events
prep.py Interview questions, stories, patterns, study plans
finance.py Accounts, budget, runway, goals, projections, import
nudges.py Reminders and calendar export (.ics)
dashboard.py Builds the dashboard; dashboard.html is the template
guide.py Onboarding and next steps
economy.py Live World Bank data
insights.py Anonymous, k-anonymous usage signals
store.py Per-user SQLite storage
scoring.py Ten-check resume rubric
knowledge/ Reference content (data, no code paths)
tests/ 5 test suites
docs/ Plain-English guides
scripts/setup.ps1 One-command setup on Windows
agents/IMPROVE.md Instructions for the weekly improver
.github/workflows/ CI and the weekly improvement jobflowchart TB
app["app.py<br/>tools · auth · logs"] --> coach & careers & autopilot & prep & finance & dash["dashboard"]
coach --> guide & nudges
autopilot --> triage & nudges
careers & places & prep & coach --> kb["knowledge/"]
coach & careers & autopilot & prep & finance & nudges & guide --> store[("store")]11. Develop and test
uv sync
uv run tests/test_knowledge.py # knowledge is valid, no personal data, no injected text
uv run tests/test_poc.py # core tools
uv run tests/test_features.py # finance, resumes, roles, prep, reminders, economy
uv run tests/test_http.py # auth, data isolation, privacy of usage signals
uv run tests/test_soul.py # coach, safety, relocation, email intake, dashboardEvery suite ends with ALL PASSED. CI runs them on every push.
To run the hosted mode locally: CAREER_COPILOT_API_KEY=dev-key uv run app.py, then connect to http://localhost:8080/mcp with that key.
12. Contributing, security and license
How to propose changes: CONTRIBUTING.md
How to report a security or privacy problem: SECURITY.md
All docs in one place: docs/README.md
Copyright © 2026 Tushar Samantaray. All rights reserved. The source is public so people can read and check it, and you can run it for your own personal use. Hosting it for others, selling it or redistributing it needs written permission (LICENSE). For licensing, partnership or investment, reach out through GitHub.
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