Bernerspace

One MCP server · All your integrations · Zero hassle

🚀 Unified MCP server for all OAuth-enabled integrations

One server · One JWT · Many tools

✅ Current Live Integration: Slack — 47 tools tested & available

🔜 Coming Soon: Gmail · Google Calendar · Notion

🎯 Goal: 100+ integrations

Why

Using or integrating MCP servers today is painful because:

• Most MCP servers lack OAuth capabilities, limiting user experience.
• Every MCP server requires separate deployment and management, increasing operational overhead.
• Integration chaos: different authentication layers across MCP servers make unified integration nearly impossible.

What You Get

• Single JWT across services via middleware (HS256 or RS256 via JWKS; issuer/audience validated).
• OAuth middleware per integration (Slack live; more coming) with DB‑backed token storage.
• Consistent MCP tools interface for each service.
• Unified endpoints you can self‑host, e.g.:

-

• (coming soon)

Current Status

• Current live integration: Slack with 47 fully tested tools available.

→ Learn more about Slack tools: docs/slack/tools.md

• Coming soon: Gmail, Google Calendar, and Notion.

📖 Documentation

All setup instructions, integration guides, and examples are available on our Notion docs:

🔗 **Bernerspace Quick Start Docs**

The docs are updated regularly with:

• Quick start guides for new integrations
• Step-by-step installation instructions
• Usage examples for each tool
• Roadmap and contribution guidelines

Quickstart

1. Environment

Create a .env (see .env.example) with the following variables:

# Database
DATABASE_URL=postgresql://localhost:5432/mcp_server

# Auth (choose one)
# Option A: HS256
JWT_SECRET=your-jwt-signing-secret
# Option B: RS256 via JWKS
# JWT_JWKS_URL=https://your-auth-domain/.well-known/jwks.json
# JWT_ISSUER=https://your-auth-domain/
# JWT_AUDIENCE=my-api

# Slack OAuth
SLACK_CLIENT_ID=
SLACK_CLIENT_SECRET=
SLACK_REDIRECT_URI=http://localhost:8000/slack/oauth/callback

# Optional: encrypt tokens at rest (comma-separated MultiFernet keys)
# TOKEN_ENCRYPTION_KEYS=

1. Install dependencies (choose one)

• Using pip
• python3 -m venv .venv && source .venv/bin/activate
• pip install -e .
• Using uv
• uv venv && source .venv/bin/activate
• uv pip install -e .

1. Run the server

• Using Python
• python server.py
• Server will listen on
• Using Docker
• docker build -t bernerspace-mcp .
• docker run --env-file .env -p 8000:8000 bernerspace-mcp
• Server will listen on
• Using Docker Compose
• docker compose up -d

1. Create a JWT to call the MCP server

• python generate_jwt.py --user-id
• Use the printed token as: Authorization: Bearer TOKEN

OAuth Flow (Slack)

• GET /slack returns oauth_url and instructions to authorize the workspace.
• Slack redirects to SLACK_REDIRECT_URI (defaults to /slack/oauth/callback).
• The server exchanges the code, enriches the token details, and persists it in Postgres.
• Tokens are stored in table oauth_tokens with composite key (client_id, integration_type) where client_id = your JWT subject (sub).

Database

• Schema managed with Alembic (migrations included).
• Table: oauth_tokens(client_id, integration_type, token_json, stored_at).
• Configure Postgres via DATABASE_URL.
• Tokens can be encrypted at rest when TOKEN_ENCRYPTION_KEYS is set.

MCP Client Configuration

Example client entry (mcp.json):

{
  "servers": {
    "slack": {
      "url": "http://localhost:8000/mcp/slack",
      "type": "http",
      "headers": {
        "Authorization": "Bearer YOUR_JWT"
      }
    }
  }
}

If the user hasn’t completed OAuth, tool calls will return an object with requires_auth: true and an oauth_url you can open to complete authorization.

VS Code MCP Client Setup

Use this mcp.json in your VS Code user settings (replace JWT with your generated token):

{
  "servers": {
    "slack": {
      "url": "http://localhost:8000/mcp/slack",
      "type": "http",
      "headers": {
        "Authorization": "Bearer JWT"
      }
    }
  },
  "inputs": []
}

LangChain Example

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent

client = MultiServerMCPClient(
    {
        "slack": {
            "transport": "streamable_http",
            "url": "http://localhost:8000/mcp/slack",
            "headers": {
                "Authorization": "Bearer YOUR_TOKEN"
            },
        }
    }
)

tools = await client.get_tools()
agent = create_react_agent("openai:gpt-4.1", tools)
response = await agent.ainvoke({"messages": "Can you send hello message to my #general groups?"})

Docker

You can run Bernerspace MCP in Docker:

docker build -t bernerspace-mcp .
docker run --env-file .env -p 8000:8000 bernerspace-mcp

🚀 Roadmap

We’re just getting started. Our goal is to support 100+ integrations so you can connect any third-party service to your MCP server with ease.

Coming Soon

• 📧 Gmail
• 📅 Google Calendar
• 📂 Google Drive
• 🗂️ Notion
• 💻 GitHub
• 💬 Discord
• 📊 Airtable
• 🔍 ElasticSearch
• 📝 Confluence

…and dozens more on the way.

🤝 Contributing

We welcome contributions of all kinds — whether it’s fixing a bug, suggesting a feature, improving documentation, or just sharing feedback.

Ways to Contribute

• ⭐ Star the repo to show your support and help others discover Bernerspace.
• 🐛 Report a bug so we can fix it quickly.
• 💡 Request a feature or suggest an improvement.
• 🛠️ Submit a Pull Request with code changes, docs updates, or tests.

Stay in Touch

• 📧 Email me at ranga.sumit1999@gmail.com
• 🐦 Follow & DM on Twitter (X): @SumitSandbox

Whether you’re a first-time contributor or an experienced developer, we’d love to hear from you and collaborate!

License

This project is licensed under the MIT License.