Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/o-mega-enterprise/founden-mcp/agents-mdgit clone --depth 1 https://github.com/O-mega-Enterprise/founden-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/o-mega-enterprise/founden-mcp/agents-md)<a href="https://agentmods.dev/instructions/o-mega-enterprise/founden-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/o-mega-enterprise/founden-mcp/agents-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00490 | $0.00490 |
| Opus 5 | $0.00245 | $0.00245 |
| Sonnet 5 | $0.00098 | $0.00098 |
| Haiku 4.5 | $0.00049 | $0.00049 |
Grade A, and why
founden-mcp AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Founden MCP Server
Build and run a real software company through any AI agent. One API key, no browser required.
What This Server Does
Founden turns a plain-language description into a deployed company: a marketing website, a customer app with auth and billing, and an internal admin dashboard. This MCP server lets your agent start a build, check its progress, send follow-up instructions, and stop it, all over one connection. Builds run in the cloud and deploy automatically.
Available Tools
| Tool | Input | Output |
|---|---|---|
| build_company | prompt (string, required), company_id (string, optional) | execution_id, company_id, status, and a stream URL for live progress |
| get_build | execution_id (string, required) | current build status and, once ready, the live preview URL |
| message_build | execution_id (string, required), prompt (string, required) | acknowledgment; the follow-up instruction ships to the running build |
| stop_build | execution_id (string, required) | confirmation that the build was stopped (committed work is saved) |
Progress also streams as Server-Sent Events at /v1/builds/{execution_id}/stream (events: build_step, build_complete, build_done, orphaned_build, build_error).
Credits
1 credit per build. Follow-up messages within an in-progress build are free. Reading status and streaming progress are free.
Authentication
Requires environment variable: FOUNDEN_API_KEY (an omk_ key that works across every O-mega product).
Get a key at: https://founden.ai/app/build/api
Installation
npx founden-mcp
Configuration (Claude Desktop / Cursor / VS Code)
{
"mcpServers": {
"founden": {
"command": "npx",
"args": ["-y", "founden-mcp"],
"env": { "FOUNDEN_API_KEY": "your_key_here" }
}
}
}
Links
- Website: https://founden.ai
- API + MCP docs: https://founden.ai/mcp
- API reference: https://founden.ai/docs/api
- OpenAPI spec: https://founden.ai/v1/openapi.json?product=founden
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 55 lines · 490 tokens per session scan A 9ac4509dbdb1
founden-mcp AGENTS.md is an instructions file published in the GitHub repository O-mega-Enterprise/founden-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 490 tokens to every session, about $0.0024 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.