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sekera-radim/briefgate-mcp

sekera-radim/briefgate-mcp

Client intake for AI coding agents — MCP server: your agent asks the client for logos, copy and credentials, and BriefGate chases them until they arrive.
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Config template (adjust for your client)
claude mcp add briefgate-mcp -- npx -y briefgate-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
0 ★ · sekera-radim/briefgate-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository sekera-radim/briefgate-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

BriefGate

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**Client intake — from your browser, or from your AI coding agent.**
Your agent can build the website.
BriefGate gets the missing things from the client.
**No agent? You don't need one.** Everything below can be done by hand at
app.briefgate.dev: build the request, send the
link, watch answers arrive, download the results as one ZIP — no code, no API
key, no MCP client. This package is for the other way of working, where an agent
does it for you. See the dashboard quickstart.
Watch as MP4 (25 s) · Full 47 s walkthrough
Website · MCP reference · llms.txt · Guides and checklists
The problem
Agents are fast. The bottleneck is the human on the other side of the project.
Somewhere in the middle of building, the agent needs something only the client has: a logo, homepage copy, brand colors, opening hours, hosting credentials, an API key, a piece of structured data like a price list. None of that exists in the chat, and none of it can be guessed.
The usual move is to stop and ask the developer to go chase the client by email. Instead, the agent creates a BriefGate intake. BriefGate emails the client, collects what comes back, chases automatically when it doesn't, and returns typed results the agent can use directly. The agent keeps building in the meantime.
Quickstart
**Claude Code — hosted, no key to manage:**
Then run /mcp in Claude Code, pick **briefgate**, and choose **Authenticate**.
**Claude Code — local package:**
Prefer to skip sign-in entirely? Get a key at briefgate.dev (free tier, no card) and pass it as BRIEFGATE_API_KEY.
**Cursor** — add to .cursor/mcp.json:
Then run npx -y @briefgate/mcp login, or ask the agent to call the login tool.
**Codex:**
**Gemini CLI** — installs as an extension from this repo's gemini-extension.json, pointed at the hosted endpoint:
It authenticates the same way as the other hosted clients above — via OAuth, on first use. The extension also ships GEMINI.md, a context file that tells the model what BriefGate is and when to reach for it.
By default gemini extensions install fetches the repo's latest GitHub Release rather than the main branch; if that release predates the current gemini-extension.json and the command reports a missing configuration file, install from main directly instead: gemini extensions install --ref main https://github.com/sekera-radim/briefgate-mcp.
**Claude Desktop** — one-click install as a Desktop Extension (.mcpb), running the local @briefgate/mcp package instead of the hosted endpoint. Build details: see MCPB bundle below.
**Cursor** — as a plugin from this repo's .cursor-plugin/plugin.json, which bundles the same MCP config together with the collect-from-client skill below.
**Any Agent Skills-compatible tool** (OpenAI Codex, GitHub Copilot / VS Code, Cursor, Gemini CLI, and other clients on that standard) — install the collect-from-client skill with the skills CLI:
The bare owner/repo shorthand the CLI's own docs show does not work against this layout as of skills@1.5.26 — it either 404s against its registry or, given the plain repo URL, clones the whole repo and reports "No SKILL.md found" because ours lives a directory deeper than the root. The full /tree/main/skills/ URL above is what actually installs it; verified by running it in an empty scratch directory before documenting it. This copies SKILL.md into that tool's local skills directory; the skill still assumes the briefgate MCP server (see the client-specific instructions above) is configured separately.
Full setup details, manual config, and API-key precedence: see Reference below.
For agents reading project instructions (AGENTS.md, Copilot, Cursor rules)
If your agent reads a project instructions file instead of (or in addition to) MCP tool descriptions or Agent Skills, add this block to your AGENTS.md, .github/copilot-instructions.md, or .cursor/rules:
Example: building a client's website
An agent is building a website for a restaurant. It has the layout and the booking flow, but it still needs the logo, a hero photo, the opening hours, a short description of the restaurant, the social media links, and admin access to the client's WordPress install. It calls define_intake:
From there, BriefGate (1) creates a branded portal, (2) emails the client, (3) validates each asset as it comes in, (4) chases the client automatically until everything is submitted, and (5) notifies the agent when it's done.
The agent keeps building the layout, the booking flow, and everything else that doesn't depend on this — then calls get_intake_results(intake_id) and gets back typed data and signed URLs for the files, plus a one-time reveal of the WordPress credentials. It stores the secret and continues.
Source
awesome · https://github.com/sekera-radim/briefgate-mcp
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