INDUSTRYNEXT

TOOLCHAIN ATLAS / BENCH 004 / LAST CHECKED 2026-08-31

Choose the work.
Wire the tools.

AI tools are where you think and make. MCP servers are permissioned bridges to context and actions. Pick an outcome; this bench assembles a small stack and tells you what to verify before you connect it.

Build my toolchain First: tool or MCP?
10
AI work surfaces
7
Useful MCP servers
0
Affiliate links
PATCH PANEL / A-17LEAST ACCESS FIRST
AI WORK SURFACETHINK · CODE · MAKE
MCP / CONTEXTDOCS · REPO · DESIGN
PERMISSION GATEREAD · ASK · WRITE
OUTPUTAN INSPECTABLE RECEIPTDIFF · SOURCE · SCREENSHOT · LOG
OFFICIAL PUBLISHER DOORS DO NOT INSTALL EVERYTHING READ-ONLY FIRST VERIFY BEFORE WRITE

00 / THE TWO LAYERS

The model is not
the connection.

A strong model can reason about what you give it. An MCP server can expose a new source or action. Adding a server changes the permission boundary, not the model’s intelligence.

AI TOOL

A place to think, code, or make.

ChatGPT, Claude, Codex, Cursor, Figma Make, and Runway are work surfaces. Choose one for its fit with the artifact and the review loop.

Question: what should exist when the session ends?
MCP SERVER

A bridge to context or action.

GitHub, Figma, Sentry, Playwright, and documentation servers let an agent inspect or act beyond its starting context. Each bridge needs a scope and a stop rule.

Question: what may the agent read or change?

01 / WIRE A SMALL STACK

What needs to work?

Choose one outcome and one data posture. The atlas will recommend two AI surfaces, three MCP servers, a first prompt, and a verification gate. Selection happens in this browser; nothing is uploaded.

OUTCOME

Default: project-scoped configuration, least privilege, read-only first, and a human approval before any write.

STACK / 01PUBLIC + TEST

OUTCOME / PUBLISH

Ship a useful website.

Move from a bounded brief to a tested public URL with a reviewable repository trail.

AI SURFACES / 2
    MCP BRIDGES / 3
      FIRST PROMPT

      PERMISSION + VERIFICATION GATE

      No accounts are connected and no MCP server is installed from this page.

      02 / AI WORK SURFACES

      Ten strong doors.
      Different jobs.

      “Top” here means a compact practical shortlist with useful coverage—not a universal league table. Plans, availability, models, and data terms change. Confirm current terms before money or sensitive material moves.

      10 AI work surfaces

      THINK / 01GENERAL WORKBENCH

      ChatGPT

      Shape a brief, investigate alternatives, work across text and images, and turn a messy start into a checkable next move.

      USE IT WHEN
      The work changes shape as you learn
      KEEP
      Sources, assumptions, and the decision
      Open official product
      THINK / 02DOCUMENT WORKBENCH

      Claude

      Read long material, pressure-test a plan, and make assumptions and tradeoffs legible before execution.

      USE IT WHEN
      The source packet is the work
      KEEP
      A claim-to-source table
      Open official product
      THINK / 03GOOGLE WORKBENCH

      Gemini

      Work across multimodal inputs and Google’s product ecosystem when that is where the approved material already lives.

      USE IT WHEN
      Your workflow is already Google-shaped
      KEEP
      An export outside the chat
      Open official product
      THINK / 04SOURCE-SET WORKBENCH

      NotebookLM

      Ask questions of a source set you chose. Useful for reports, interviews, lectures, papers, and approved internal reading.

      USE IT WHEN
      The boundary is a known source set
      KEEP
      The source collection and cited notes
      Open official product
      THINK / 05WEB SCOUT

      Perplexity

      Scout the current web, open the citations, and replace weak summaries with the strongest available primary sources.

      USE IT WHEN
      You need the current source landscape
      KEEP
      Opened primary links, not citation count
      Open official product
      CODE / 01REPOSITORY AGENT

      Codex

      Give an agent the repository, constraints, acceptance criteria, and permission boundaries; then inspect the diff and test evidence.

      USE IT WHEN
      The artifact lives in a real codebase
      KEEP
      A small diff and exact test output
      Open official docs
      CODE / 02TERMINAL AGENT

      Claude Code

      Work through a codebase from the terminal, with the brief, repository rules, and review gates written before broad changes begin.

      USE IT WHEN
      You want an agent in the shell loop
      KEEP
      The plan, diff, and verification transcript
      Open official docs
      CODE / 03EDITOR AGENT

      Cursor

      Work inside an editor with repository context, suggested edits, and agent-assisted changes close to the code you are reviewing.

      USE IT WHEN
      The editor is your control surface
      KEEP
      A reviewed commit, not pasted code
      Open official product
      MAKE / 01INTERFACE PROTOTYPE

      Figma Make

      Move from interface intent to a working visual prototype, then put the path in front of someone who did not help make it.

      USE IT WHEN
      The unknown is interaction and hierarchy
      KEEP
      Prototype, observer notes, and handoff
      Open official product
      MAKE / 02MOVING IMAGE

      Runway

      Generate and transform moving image as a directed production loop with a locked shot brief, takes, selections, and edit notes.

      USE IT WHEN
      The deliverable needs motion
      KEEP
      A take sheet with keep and reject reasons
      Open official product

      03 / MCP BRIDGES

      Seven useful
      connections.

      These are the common examples in OpenAI’s current Codex MCP documentation. A listing is not a security guarantee. Open the publisher’s setup guide, inspect the scopes, and install only the bridge needed for the next receipt.

      MCP / 01READ-ONLY · REMOTE

      OpenAI Docs

      Search and read official OpenAI developer documentation inside the agent’s working context.

      GOOD FIRST TEST
      Find one current API field and return the exact source page
      BOUNDARY
      Documentation only; it does not call the API for you
      codex mcp add openaiDeveloperDocs --url https://developers.openai.com/mcpOfficial setup guide
      MCP / 02READ · LOCAL PROCESS

      Context7

      Bring current library and framework documentation into a coding session when recalled APIs are not enough.

      GOOD FIRST TEST
      Resolve one package and retrieve the current method signature
      BOUNDARY
      Inspect the package and source before running it locally
      codex mcp add context7 -- npx -y @upstash/context7-mcpPublisher repository
      MCP / 04BROWSER CONTROL · LOCAL

      Playwright

      Let an agent inspect and operate a browser to test real interaction, layout, errors, and responsive behavior.

      GOOD FIRST TEST
      Open a local page, read the title, and take a screenshot
      BOUNDARY
      Use a test profile; browser actions can change external state
      Publisher repository
      MCP / 05BROWSER CONTROL · LOCAL

      Chrome DevTools

      Inspect a live browser’s DOM, console, network, and performance state when a screenshot alone cannot explain the behavior.

      GOOD FIRST TEST
      Read console errors from a local or staging route
      BOUNDARY
      Avoid personal profiles and authenticated production tabs
      Publisher repository
      MCP / 07READ + WRITE · ACCOUNT

      GitHub

      Work with repositories, issues, pull requests, actions, and security data beyond what a local Git checkout can expose.

      GOOD FIRST TEST
      Use read-only mode to summarize one issue and linked pull request
      BOUNDARY
      Enable only needed toolsets; writes need explicit approval
      Official server + setup

      DISCOVERY IS NOT TRUST

      Use the official MCP Registry as a catalog, not a guarantee.

      Confirm the publisher, repository, transport, requested credentials, update history, and tool list. If you cannot explain what the server may read or change, do not connect it yet.

      Open official registry

      04 / BEFORE CONNECT

      Pass the
      permission gate.

      MCP makes the agent more capable because it changes what the agent can reach. Treat every server like a new collaborator entering the room.

      1. 01
        Name the receipt.

        Install for one concrete outcome, not because a connector exists.

      2. 02
        Verify the publisher.

        Use the official product docs or publisher repository. Registry presence alone is not enough.

      3. 03
        Inventory every tool.

        Know what can read, navigate, create, edit, delete, submit, or send.

      4. 04
        Reduce the scope.

        Prefer one project, one repository, test data, read-only mode, and project-local configuration.

      5. 05
        Run a harmless test.

        List tools, perform one read, inspect the returned source, and confirm no mutation occurred.

      6. 06
        Keep a stop rule.

        Require human approval for writes, messages, purchases, deployments, and irreversible actions.

      05 / A SAFE FIRST MCP

      Start with
      documentation.

      OpenAI’s public Docs MCP is remote, read-only, and documentation-only. It is a good way to learn the connection loop before adding account data or write tools.

      CODEX / TERMINALOFFICIAL OPENAI SERVER
      codex mcp add openaiDeveloperDocs --url https://developers.openai.com/mcp
codex mcp list

      Then ask for one current doc page and inspect the source it returns.

      06 / SOURCE DESK

      Current doors.
      Perishable details.

      This atlas was reviewed on August 31, 2026. It avoids pricing and “best model” claims because those change faster than a durable workflow. Official product and setup doors are linked on every card.

      Industry Next receives no affiliate compensation from these links. The stack builder is editorial guidance, not an automated installation or security review.