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Bud MCP Foundry · Layer 05 · Integration & Tools

The factory that turns software into AI-ready tools.

You spent years building these systems. The agentic era shouldn't demand you rebuild them. Bud MCP Foundry turns the tools, workflows, and knowledge you already run into governed MCP tools — and federates 1,000+ third-party MCPs through one control plane.

Overview

Drop your source. Get governed MCPs back.

Hand the pipeline an OpenAPI spec, a Postman collection, vendor PDFs, or a GUI recording. It hands back workflow-level tools with confidence scores — and one click ships them live with auth, rate limits, and observability already wired in. What took an integration team weeks now takes minutes. Zero code, no GPUs.

1,000+ MCPs federated day one <50ms gateway latency 10× smaller LLM context 99.9% uptime SLA
  • Bud MCP Foundry is Layer 05 of the eight-layer Bud stack — Integration and Tools, the integration backbone of the stack. Produce: turn APIs, docs, and systems into governed MCP tools. Federate: 1,000+ third-party MCPs through one four-tier catalog. Govern: identity, policy, cost, and audit on every call. CPU-only — runs on infrastructure your ops team already knows.
  • The MCPfication pipeline: a source (OpenAPI, Postman, PDF, REST) travels through ingest, crawl (doc sites, JS-rendered, auth), enhance and evaluate (confidence scores, dry-run), register and govern (four-tier registry, RBAC), and serve (5 protocols, one gateway) — emerging as a governed MCP tool. Minutes, zero code — not weeks of custom engineering.
  • Smart Discovery: from a catalog of 1,000+ tools, per-query semantic retrieval sends the model only the three it needs — about 50K tokens shrink to about 5K (10× smaller), and tool-selection accuracy rises from 62% to 94% (+32 pts). Makes SLMs feasible for tool-using agents on-prem — 200K+ tools per catalog without context blowout.
  • The result: agent-ready, without rebuilding anything.
Value proposition

Weeks of integration engineering become minutes.

You spent years building these systems; the agentic era shouldn't demand a rebuild. Drop in an OpenAPI spec, a Postman collection, vendor PDFs, or a GUI recording — governed MCP tools come back with confidence scores, and one click ships them live with auth, rate limits, and observability already wired in. Zero code, no GPUs.

MCPs federated1,000+
Gateway latency<50ms
LLM context10× smaller
Uptime SLA target99.9%
gateway-boundary & per-query measures · methodology in the product brief
Key features

Six things a gateway can't do.

Enterprise MCP gateways route tools. Only a foundry produces, evaluates, versions, and governs them end to end — these six are the difference.

01

Automated MCPfication

OpenAPI specs, Postman collections, PDFs, and doc sites — even JS-rendered ones behind auth — become governed tools, with confidence scoring and evaluator gating before anything goes live.

9 stagesingest → observe · minutes, zero code
02

Four-tier registry

Remote hosted, stdio-bridged, AI-generated, and internally managed tools in one catalog — with virtual server composition per team on top.

1,000+ MCPsfederated day one · 4 tiers, one catalog
03

Smart Discovery

Per-query semantic retrieval sends the model only the tools it needs — making SLMs feasible for tool-using agents on your own hardware.

+32 pts accuracy62% → 94% · ~5K tokens, not ~50K
04

Federated hybrid zones

Each compliance zone, region, or business unit runs its own instance with its own audit trail — agents see a single capability surface, and data never leaves its zone.

1 catalogmany zones · residency by design
05

Zero plaintext credentials

Enforced at the schema level — the platform refuses to boot on weak defaults, and authentication is on by default on every API, protocol, and admin endpoint.

0 plaintext credentialsanywhere · four containment perimeters
06

Portable Skills

Tools, resources, and prompts compose into versioned Skills — portable across Claude, ChatGPT, Cursor, LangChain, or on-prem SLMs, not locked to any vendor.

1-click rollbacksnapshot-versioned · governed catalog
Featured components

What's inside the foundry.

The control plane is built from named components — the gateway every call travels, the retrieval engine behind it, and the registry that makes expertise portable.

Serving plane

Bud MCP Gateway

Every protocol in, one surface out — HTTP/JSON-RPC, SSE, WebSocket, Streamable HTTP, and stdio normalized into one dispatch layer via Bifrost.

<50ms · 5 protocols
Retrieval plane

Bud Smart Discovery

Per-query semantic retrieval over the whole catalog — the model sees only the tools it needs, so 200K+ tools never blow out the context.

3 of 1,000+ per query
Distribution

Skills Registry

Self-contained, versioned Skills composed from tools, resources, and prompts — distributed through a governed catalog with one-click deployment.

versioned · one-click rollback
Go deeper

The full story, in depth.

The architecture, benchmarks, and methodology behind the claims, in full.

Get started with Bud

Put your data on it.

The fastest way to see what an integrated AI operating system does for your enterprise is a proof-of-concept on your infrastructure, with your data.

01 Identify a use case where complexity, cost, or governance is a known pain point.
02 Joint discovery — Bud maps your AI pain points to platform capabilities.
03 POC in days, on your hardware, with your data.