DevBot
FreeNot checkedA Flask-based chatbot using Gemini 2.5 Flash and MCP tools to manage GitHub repositories and LinkedIn profiles via natural language.
About
A Flask-based chatbot using Gemini 2.5 Flash and MCP tools to manage GitHub repositories and LinkedIn profiles via natural language.
README
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
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
.envasGITHUB_TOKEN - Also set
GITHUB_USERNAMEto 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"
Installing DevBot
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/Sriram-murugesan/MCP_testFAQ
Is DevBot MCP free?
Yes, DevBot MCP is free — one-click install via Unyly at no cost.
Does DevBot need an API key?
No, DevBot runs without API keys or environment variables.
Is DevBot hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install DevBot in Claude Desktop, Claude Code or Cursor?
Open DevBot on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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