Bridge MCP

Every ticket,
from idea to PR.

The Bridge MCP helps you from the beginning to the end of a ticket lifecycle. Easily turn an idea into a solid PR.

Works with Claude Code, Github Copilot, Cursor, and other tools your team already uses.

Watch one ticket ship

Jira ticket, as written

BAPI-412 Add a gift message field to the cart

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Works with Jira Claude Code / Cursor / VS Code Multi-model review Learns your standards Deploy your infrastructure

What is Bridge MCP?

One install adds a whole toolkit to the AI coding tools you already use, taking a ticket from idea to a reviewed PR.

You get a tool for every phase, and you stay in control from ticket to merge.

The whole ticket lifecycle

How Bridge Helps You End to End

The Bridge MCP gives developers like you over 60 tools. These are the most popular.

Refine

Turn fuzzy ideas into clear, buildable tickets.

Idea to TicketUsed most

Turns a one-line idea into a structured ticket.

Explore TicketPopular

Digs through your codebase and comes back with the ways this could be built.

More tools you'll reach for here

Deep Research

Do Deep Research in your coding platform of choice, so you can refine tickets accurately and without interruption.

AI Council

Have GPT, Gemini, and Claude huddle together on the hard calls.

Ticket Writer

Create excellent tickets easily in your editor.

Plan

Decide the approach before a line of code.

Review TicketUsed most

Have Claude, GPT, and Gemini work together to spot gaps in your ticket and then upgrade it, so you get a rock-solid plan.

Plan TicketPopular

Generates a step-by-step implementation plan for a ticket, grounded in your codebase.

More tools you'll reach for here

Create Doc

Create a technical design document, FSD, or PRD easily in your code editor.

Clarifying Questions

Spot the gaps in your tickets.

Critique Ticket

Make sure a ticket matches your best practices.

Build

Ship reviewed code, several tickets in parallel.

Start TicketsUsed most

Implement multiple tickets at once in isolated worktrees, so independent work runs in parallel.

Epic ImplementerPopular

Hand it an approved epic and it builds the tickets in order, respecting what depends on what.

More tools you'll reach for here

Implement Ticket

Implement a ticket all the way through CI/CD.

Reimplement Ticket

Did your client ask you to do 'one more thing?' Implement it with one command.

Full Automation

Build a full working prototype with a single sentence.

Protect & Scale

Catch issues before they merge; keep it healthy.

Code ReviewUsed most

Check all PRs for critical priorities, like security, performance, and implementing all requirements.

Second OpinionPopular

Ask a different model to sanity check a plan or a change.

More tools you'll reach for here

Log Monitor

Monitor your SFCC logs for serious errors with AI, get notifications and fast corrections.

Resolve CI Checks

Gets the pipeline green.

Run Tests

Run all tests and keep them up to date easily.

Built for SFCC

Bridge lets your agent read and safely reshape your live commerce platform, including its objects, attributes, and site config, so SFCC work lands right the first time.

Grounded in your data model

Your agent reads your system objects, custom objects, and site preferences first, so its plans and code fit your storefront on the first pass, not after rounds of rework.

Ships whole features

It creates the attributes, groups, and site preferences a feature needs, safely in a sandbox and never production, instead of leaving the metadata to you.

Fixes the real bug

sfcc_log_query pulls the actual error from platform logs, so your agent debugs from evidence, not guesswork. Output is automatically redacted.

Set up in minutes

One call checks your config and prints paste-ready Business Manager permissions. Onboarding is copy-paste.

Frequently Asked Questions

The detail behind the toolkit, for the people who want it.

What is an MCP?

An MCP server is an add-on for an AI coding tool. You install it once, and your AI gains a set of new commands it can run against your codebase, your tickets and your pull requests.

Bridge MCP is one of those add-ons. If you have used Claude Code, Cursor or Copilot, you already have somewhere to put it.

How does it know your standards?

The first command you run is Learn Repository. Bridge reads your codebase and writes down what it finds: your architecture, your design patterns, and the correctness standards your code already follows.

Those notes are the source of truth every later command is checked against, and you can correct them whenever the AI gets something wrong.

How does it fit the way we work?

It runs inside the editor your team already uses, works from the tickets you already write, and opens pull requests into the review and CI checks you already run.

You decide how much runs unattended: approve each step, or hand it a whole epic.

What does it cost to run?

Every plan includes a monthly credit allotment, with the AI provider costs covered. Running a command that asks several models does not turn into a separate bill from each of them.

Heard enough?Try it free

See how Bridge fits your workflow

Install Bridge and try it on your own backlog, free for 21 days. Every plan includes a monthly credit allotment with AI provider costs covered.

Questions? Ask our AI