agent-bridge

agent-bridge

A Kanban board enabling AI agents and humans to collaborate on tasks through MCP tools for project and task management.

Category
Visit Server

README

AgentBridge

A fast, simple Kanban board where humans and AI agents collaborate on tasks. AgentBridge runs on Cloudflare Workers and speaks the Model Context Protocol (MCP), so Claude, Cursor, Codex, and your team can work from the same source of truth.

Live demo: https://agent-bridge.0xkaz.com/

Features

  • MCP server over HTTP/SSE (/mcp)
  • REST API with revocable tokens
  • Real-time board updates via SSE
  • Google OAuth sign-in
  • Personal org per user (no accidental domain sharing)
  • Multi-project Kanban boards
  • Custom lists (columns) per project
  • Drag-and-drop task movement
  • Task comments for agent memory and context
  • Organization member invitations

MCP Tools

  • list_orgs — list organizations
  • list_projects — list projects in an organization
  • create_task — create a task in a project
  • update_status — change a task status
  • comment — add a comment to a task

REST API

Most endpoints require Authorization: Bearer <token>. Invitation info and accept endpoints are public.

Method Endpoint Description
POST /api/auth/google Sign in with a Google ID token
GET /api/auth/me Current user
GET /api/orgs List organizations
POST /api/orgs Create organization
PATCH /api/users/me/org Switch active organization
GET /api/orgs/:org/projects List projects
POST /api/orgs/:org/projects Create project
GET /api/projects/:project Get project
GET /api/projects/:project/columns List columns/lists
POST /api/projects/:project/columns Create column/list
PATCH /api/projects/:project/columns/:column Rename column/list
PATCH /api/projects/:project/columns/:column/position Reorder column/list
DELETE /api/projects/:project/columns/:column Archive empty column/list
GET /api/projects/:project/tasks List tasks
POST /api/projects/:project/tasks Create task
PATCH /api/tasks/:task Move task to another column/list
GET /api/projects/:project/history Project activity history
GET /api/tasks/:task/comments List comments
POST /api/tasks/:task/comments Add comment
GET /api/tokens List API/MCP tokens
POST /api/tokens Generate token
DELETE /api/tokens/:id Revoke token
POST /api/orgs/:org/invitations Invite a user to an organization
GET /api/orgs/:org/invitations List pending invitations
GET /api/invitations/:token Get invitation info (public)
POST /api/invitations/:token/accept Accept an invitation (public)
GET /api/events?token=<token> SSE event stream

Setup

npm install
cp .env.example .env
cp wrangler.example.toml wrangler.toml
# Edit .env with your Google OAuth client ID
# Edit wrangler.toml with your Cloudflare account_id, D1 database_id, and custom domain
npm run db:seed

Google Cloud Console configuration

This app uses Google Identity Services (ID token flow). You do not need to configure a redirect_uri.

  1. Create an OAuth 2.0 Web application client ID at https://console.cloud.google.com/apis/credentials
  2. Add the following Authorized JavaScript origins:
    • http://localhost:8787 (local wrangler dev)
    • https://<your-worker>.workers.dev (production)
  3. Copy the Client ID into .env as VITE_GOOGLE_CLIENT_ID and into .dev.vars as GOOGLE_CLIENT_ID
  4. Copy wrangler.example.toml to wrangler.toml and fill in your Cloudflare account_id, D1 database_id, and custom domain

The Client Secret is not used by this app because verification is done with Google's public JWKS.

Development

npm run dev

Open http://localhost:8787 and sign in with Google.

For MCP clients, configure the endpoint:

{
  "mcpServers": {
    "agentbridge": {
      "url": "http://localhost:8787/mcp"
    }
  }
}

Generate an API token on the Settings page and use it as Authorization: Bearer <token>.

End-to-end tests

make e2e

This starts the dev server automatically and runs Playwright against Chromium.

Migrating an existing database

src/db/schema.sql only contains the final schema for fresh databases. If you are updating an existing D1 database from a version that stored plaintext token values, run the token-hash migration before deploying:

# Local
make db-migrate-token-hash

# Remote (production)
make db-migrate-token-hash-remote

These commands hash any remaining plaintext tokens, then recreate the tokens table with token_hash only.

Deploy

npm run deploy

Before deploying, make sure wrangler.toml is filled in (see Setup step 4).

Set secrets:

wrangler secret put GOOGLE_CLIENT_ID

Commands

  • make lint — TypeScript type check
  • make test — run tests
  • make build — build frontend
  • make db-seed — apply D1 schema locally
  • make db-migrate-token-hash — migrate local D1 tokens to hashed schema
  • make db-migrate-token-hash-remote — migrate remote D1 tokens to hashed schema
  • make e2e — run Playwright end-to-end tests
  • make dev — start dev server

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured