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DevBot

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A Flask-based chatbot using Gemini 2.5 Flash and MCP tools to manage GitHub repositories and LinkedIn profiles via natural language.

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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

Open http://localhost:5000


Getting API keys

1. Gemini API key

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

  1. Go to https://www.linkedin.com/developers/apps/new
  2. Fill in app name, link it to a LinkedIn Page (create a dummy one if needed)
  3. Under "Auth" tab → add redirect URL: https://localhost
  4. 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"

from github.com/Sriram-murugesan/MCP_test

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_test

FAQ

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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