mcpField
C
Commercializer

Commercializer

Remote
commercializer.aiBusiness & Marketing0Updated 1d ago

About Commercializer

Commercializer connects an AI assistant to governed registers and company workspaces for medical device and life-science commercial strategy. It cites records, retains selected findings, and supports guided workflows for decisions and planning.

Key features

  1. 01Search governed registers
  2. 02Cite source records
  3. 03Keep company findings
  4. 04Run guided workflows
  5. 05Ask the Commercializer agent

Use cases

  1. 01Assess regulatory pathways for a device
  2. 02Prepare a market-entry plan
  3. 03Compare competitor registrations and recalls
  4. 04Create submission checklists and company briefs

MCP support

Exposes Commercializer workspace data and workflows through its Streamable HTTP MCP server at https://commercializer.ai/mcp. Connection uses OAuth 2.1 or an API key, and actions are recorded in the workspace.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://commercializer.ai/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

Commercializer

Commercializer

Commercial strategy for medical device and life-science companies, read from the governed registers.
Bring it into the AI assistant you already use.

Add to VS Code Add to Cursor Add to Claude Add to ChatGPT

Connected, your assistant works on your company the way the Commercializer app does. It reads the governed registers (FDA clearances and approvals, EU and other registrations, recalls and adverse event reports, registered trials, patents, payments to clinicians, public tenders and company filings), cites every record it uses, keeps the findings worth remembering on your company's profile, and runs workflows that deliver a pathway decision, a submission checklist, a market entry plan, a competitor footprint or a company brief, asking you at each decision.

Everything it does happens as you, in the workspace you choose, and is listed on the MCP page of your workspace under its name, where you can disconnect it at any time.

Connect your assistant

AssistantFastest wayFull guide
ChatGPTPlugins → Add → Add custom MCP server, URL https://commercializer.ai/mcp, OAuthChatGPT
Claude (claude.ai, desktop, mobile)Customize → Connectors → Add → Add custom connectorClaude
Claude Code/plugin marketplace add Commercializer-ai/commercializer-mcpClaude Code
GitHub Copilot (VS Code, Copilot CLI, JetBrains, Visual Studio)Add to VS Code or copilot plugin marketplace add Commercializer-ai/commercializer-mcpGitHub Copilot
Copilot coding agent (on github.com)Repository settings → Copilot → MCP servers, with an API keyCopilot coding agent
Microsoft Copilot Studio (agents for Microsoft 365 Copilot and Teams)Tools → Add a tool → Model Context Protocol, OAuth dynamic discoveryCopilot Studio
Cursor (editor and CLI)Add to Cursor, or cursor-agent mcp login commercializerCursor
Codex (CLI, IDE, app)codex mcp add commercializer --url https://commercializer.ai/mcpCodex
Antigravity (and Gemini CLI)serverUrl in mcp_config.jsonAntigravity
Devin Desktop, Windsurf, Kiro, Zed, Goose and othersthe server URL, or mcp-remote for a stdio-only clientOther clients
A script or your own codean API key as Authorization: BearerAPI keys
Any assistant, on its owngive it https://commercializer.ai/mcp/llms.txtFor assistants

Signed in to Commercializer, the MCP page of your workspace walks the same steps for the assistant you pick and makes an API key when you need one.

The plugin

This repository is also a plugin: the server, a skill that teaches the assistant how to work the workspace (read before stating a figure, cite every read, keep findings, use the tools, run workflows), and five skills you can call by name.

SkillWhat it does
askHands a question to Commercializer's agent; the answer comes back with every record cited.
toolAnswers one question with a tool, every row with its sources.
runStarts a workflow on your company and follows it, answering each checkpoint with you.
workspaceYour company and its competitors, what is kept, the watches running, the workflows your plan runs.
setupConnects and checks it works.

It follows the open Agent Plugins format (plugin.json, mcp.json, skills/) that ChatGPT, Codex, GitHub Copilot, VS Code and Cursor read, and carries a Claude Code manifest (.claude-plugin/) beside it.

Claude Code      /plugin marketplace add Commercializer-ai/commercializer-mcp
                 /plugin install commercializer@commercializer
Copilot CLI      copilot plugin marketplace add Commercializer-ai/commercializer-mcp
                 copilot plugin install commercializer@commercializer
VS Code          Command Palette → Chat: Install Plugin From Source → https://github.com/Commercializer-ai/commercializer-mcp
Codex            codex plugin marketplace add Commercializer-ai/commercializer-mcp
                 codex plugin add commercializer@commercializer
Cursor           Cursor Settings → Plugins → https://github.com/Commercializer-ai/commercializer-mcp

It is also listed in the MCP Registry as ai.commercializer/commercializer.

What it can do

Every tool, with what it reads or changes. In short:

  • Read the registers: resolve, company_footprint, company_profile, device_trace, graph_compare, lookup, trials_find, recalls_find, document_search, document_get. Every answer starts with a read id you can cite.
  • Know your company: search, fetch, list_profiles, get_profile, recall_findings, keep_finding, forget_finding.
  • Answer one question with a tool: list_tools, run_tool, get_tool_run; 48 tools, from a US pathway and an FTO screen to open tenders, a trial landscape and who is investing in your space.
  • Run workflows and watches: list_workflows, start_workflow, get_workflow_run, answer_checkpoint and more; 31 workflows across regulatory, commercial, evidence, innovation, capital and programme work.
  • Ask the agent: ask_agent, get_agent_answer.

Try:

  • What clearances and recalls does our closest competitor hold, register by register?
  • Which US pathway fits our device, and which predicates would we lean on?
  • Run a market entry workflow for Germany and the UK on our lead product.

Privacy and control

  • It works as you, in the one workspace you approved, and can do only what you can do there.
  • Every read, finding and run it makes is marked with its name on the MCP page and on the profile.
  • Disconnect an assistant or revoke a key on the MCP page; it stops at once.
  • Workflow runs and research count against your workspace's plan, as the app's own do.

More in Security and data. Problems: Troubleshooting.

Support

commercializer.ai/contact · [email protected] · Privacy · Terms

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.