FounderBrain
See how a founder came across in a pitch or investor call, compared with 773 founder interviews.
What it can do
What data it sees
Do you need an account
No: the server works without sign-in
See how a founder came across in a pitch or investor call, compared with 773 founder interviews.
How to connect
How to connect FounderBrain to Claude
The server address to paste into Claude settings:
https://mcp.thinkreasonlearn.com/mcp
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect FounderBrain to ChatGPT
The server address to paste into ChatGPT settings:
https://mcp.thinkreasonlearn.com/mcp
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect FounderBrain to Cursor
The server address to paste into Cursor settings:
https://mcp.thinkreasonlearn.com/mcp
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (3)
Raw names from tools/list. Only developers need these.
| analyse_transcript | Compare one speaker in a meeting transcript with public founder and operator interviews and return the report as data: speaking type, style positions, similar well-known people, standout habits and takeaways. transcript: the whole text, one speaker turn per line ("Name: words"). speaker: one speaker label as it appears in the text. name: the person's name when the label is generic (Me, Them, Speaker 2), or "You" when the speaker is the user; required for a generic label other than Me. role: "answering" when they were pitching or answering questions, "asking" when they mostly asked them. Needs at least 300 words from the speaker and at most 15,000 words in all; usually takes under a minute, up to about two minutes when the service is starting up. Clients that support MCP Apps also show the visual report. |
| open_in_terminal | Returns a curl command that uploads a local transcript file (.docx, .txt, .md or .vtt) to FounderBrain for analysis, for clients that run commands on the user's own computer, such as Claude Code and Codex. path: the file's full local path. speaker, name and role: the speaker label to analyse, the person's name when the label is generic, and "answering" or "asking". Without a speaker the command only lists the speakers and their word counts. |
| check_transcript | List the speakers in a meeting transcript and how many words each said, without scoring anything. transcript: the whole text, one speaker turn per line ("Name: words"). |