DevBot — GitHub + LinkedIn AI Assistant

Gemini 2.5 Flash chatbot with MCP tools for GitHub and LinkedIn, served via Flask.

Project structure

devbot/
├── server.py        # MCP server — GitHub + LinkedIn tools
├── client.py        # Flask app + Gemini + MCP client
├── index.html       # Chat UI
├── .env             # API keys
└── requirements.txt

Setup

pip install -r requirements.txt

Fill in .env (see sections below for each key).

python client.py

Open http://localhost:5000

Getting API keys

1. Gemini API key

Go to https://aistudio.google.com
Click "Get API key" → create one

2. GitHub token

Go to https://github.com/settings/tokens
Generate new token → Classic
Scopes to enable: repo (all), delete_repo
Copy the token into .env as GITHUB_TOKEN
Also set GITHUB_USERNAME to your GitHub username

3. LinkedIn Access Token (manual OAuth)

LinkedIn doesn't give tokens easily — here's the fastest manual method:

Step 1 — Create a LinkedIn App

Go to https://www.linkedin.com/developers/apps/new
Fill in app name, link it to a LinkedIn Page (create a dummy one if needed)
Under "Auth" tab → add redirect URL: https://localhost
Under "Products" → request access to "Share on LinkedIn" and "Sign In with LinkedIn using OpenID Connect"

Step 2 — Get your auth code

Build this URL and open it in your browser (replace CLIENT_ID):

https://www.linkedin.com/oauth/v2/authorization?response_type=code&client_id=YOUR_CLIENT_ID&redirect_uri=https://localhost&scope=openid%20profile%20w_member_social%20r_liteprofile

After approving, you'll be redirected to https://localhost/?code=SOME_CODE — copy the code value.

Step 3 — Exchange code for token

curl -X POST https://www.linkedin.com/oauth/v2/accessToken \
  -d grant_type=authorization_code \
  -d code=YOUR_CODE \
  -d redirect_uri=https://localhost \
  -d client_id=YOUR_CLIENT_ID \
  -d client_secret=YOUR_CLIENT_SECRET

You'll get back an access_token — paste it into .env as LINKEDIN_ACCESS_TOKEN.

Token is valid for 60 days.

Available tools

Tool	What it does
`gh_list_repos`	List all your repos
`gh_get_repo`	Get details of a repo
`gh_create_repo`	Create a new repo
`gh_delete_repo`	Delete a repo
`gh_list_issues`	List issues in a repo
`gh_create_issue`	Open a new issue
`gh_list_branches`	List branches
`li_get_profile`	Get your LinkedIn profile
`li_post_content`	Post to LinkedIn
`li_edit_bio`	Update your headline
`li_edit_about`	Update your About section

Example prompts

"List all my GitHub repos"
"Create a private repo called ml-experiments"
"Show open issues in my portfolio repo"
"Post on LinkedIn: Just shipped my MCP chatbot!"
"Update my LinkedIn headline to: AI Engineer | LLMs | n8n"

DevBot — GitHub + LinkedIn AI Assistant