<name>Manufact</name> <description>Manufact offers an open-source SDK for building MCP agents, servers, and chat-integrated apps, enabling developers to create tool‑using AI agents with just a few lines of code. The platform provides a visual inspector for debugging, a control plane for observability and access control, and deployment options via managed cloud or self‑hosted infrastructure. It streamlines the full lifecycle
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developers building AI agents, tool‑using servers, and interactive chat‑based applications must stitch together disparate libraries, manage custom deployment pipelines, and implement their own observability and access‑control layers. This fragmented workflow slows iteration and makes it hard to run MCP (Model Context Protocol) services at scale, whether on cloud or on‑premises.
Solution
Manufact delivers an open‑source, full‑stack framework that unifies the MCP development stack. The SDK supplies ready‑made Python and TypeScript client, server, and agent libraries, letting teams spin up a tool‑enabled agent in a handful of lines of code. A built‑in server scaffold generates compliant MCP servers with hot‑module reloading, resource widgets, and persistent context without extra database plumbing. The platform’s control plane aggregates logs, request metrics, and role‑based access policies across all deployments, while a visual Inspector provides real‑time traffic inspection and sandboxed testing. Deployments can be pushed automatically via a GitHub App or run on existing infrastructure, giving teams the choice between managed cloud or self‑hosted operation. Together, these components reduce the end‑to‑end build time for MCP‑powered AI products from weeks to minutes.
Target Audience
The primary users are software engineers and AI product teams building tool‑enabled agents, chat‑based applications, or internal AI services that rely on the Model Context Protocol. It also serves enterprises that need a scalable, observable MCP infrastructure for internal or customer‑facing AI solutions.
Features
- Open‑source SDKs for Python and TypeScript covering MCP client, server, and agent APIs.
- One‑command project generators (`npx create-mcp-use-app`, `pip install mcp-use`) that scaffold servers, tools, and UI widgets.
- Built‑in Inspector UI with live JSON‑RPC traffic view, tool execution tracing, and sandbox mode.
- Persistent context engine that retains agent memory across sessions without external storage.
- Centralized control plane offering observability dashboards, role‑based access control (RBAC), and environment configuration.
- GitHub App integration for automated CI/CD: each push triggers a rebuild and deployment of MCP servers.
- Flexible deployment model: managed Manufact Cloud or self‑hosted on any VM/container platform.
- Compliance‑ready features including SOC 2 Type II audit logs, role‑based permissions, and encrypted data transport.