B2B SaaS

MCP Server for an AI-Native PM Workflow

We built a production connector server giving Claude, Cursor, and ChatGPT authenticated, direct access to a project management tool with no ready-made connector on the market, so tasks, comments, and status updates land in the right place without a human relaying them by hand.

// The outcome AI-native
  • Real system, running nownot a demo or a mockup
  • Fixed-price and documentedyou own every part of it
  • We stayed to support itno hand-off-and-vanish
Delivered 2026

Results

  • Claude, Cursor, and ChatGPT create tasks, post comments, update status, and track costs directly in the team's PM tool

  • No more copy-paste between AI assistants and the PM tool, every task, every time, is gone

  • Built as a production connector, not a one-off script: proper login flow, encrypted credentials, always-on hosted service

  • Built multi-tenant from the start, so more than one organization's account can run on it safely, fully separated from any other

The team at this B2B SaaS company lived in two worlds every day: their project management tool, and Claude, Cursor, and ChatGPT. Whichever assistant they had open would help draft a spec, plan a sprint, or think through a bug, and then someone had to manually pick up that output and enter it into the PM tool. Every task. Every comment. Every status change. The two systems never actually talked to each other.

That workaround exists because the alternative usually doesn’t. AI assistants already connect out of the box to a short list of popular platforms: GitHub, Slack, Google Drive. Outside that list, there’s nothing to install. The team’s PM tool, Worksection, is genuinely popular but sits outside that short list, so no ready-made connector existed for it. The choice was to keep living with the copy-paste workaround indefinitely, or build the missing piece.

What we built

We built a production connector server that gives Claude, Cursor, and ChatGPT direct, authenticated access to the team’s Worksection account, covering the same ground a person has through the Worksection interface itself: creating tasks, updating their status, posting comments, tracking costs, working with tags and files, browsing projects. An assistant can now do what a team member does by clicking around Worksection, except it does it from inside the conversation where the work was already being planned.

“Authenticated” matters in a specific way here. The assistant doesn’t get in through a shared password sitting in a config file somewhere; it goes through a proper login flow the same way a person would, and every account’s credentials are stored encrypted rather than in plain text. That was a deliberate choice: the server is built to serve more than one organization’s account safely at once, each one kept fully separate from any other even though they share the same underlying service, rather than being a one-off script wired to a single account.

It also runs as an always-on hosted service with its own address on the internet, not a local script that only works while someone’s laptop happens to be open. Any of the team’s AI tools can reach it whenever they’re working, not just during one particular session.

The result

No more copy-paste between an AI assistant and the PM tool. The team describes work in plain language, the assistant structures it, and the task, comment, or status update lands in the right place in Worksection on its own, without anyone acting as the relay between the two systems.

If your team uses AI assistants alongside tools those assistants cannot reach, our API integration work can close the gap.

Tech stack

  • MCP
  • Claude
  • Cursor
  • ChatGPT
  • Worksection

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