Bud MCP Foundry

The production layer for enterprise agents.

The MCP protocol is settled. Producing the MCPs that real enterprises need is not. Bud MCP Foundry unifies four tiers of MCP connectivity (remote vendor servers, stdio-bridged tools, AI-generated custom MCPs from your existing docs and APIs, and internal native skills) behind a single governance, observability, and FinOps plane. Weeks of integration work compressed into minutes.

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The question

Agentic systems are evolving fast.
Is your organisation AI-ready?

Models are capable. Frameworks are mature. Protocols are settled. The bottleneck has moved from the AI to the systems around it. Whether your enterprise can deploy useful agents in 2026 depends entirely on whether your existing tools, data, and workflows are reachable, governable, and observable to them.

400+

Internal systems running in a typical mid-sized bank, most without machine-readable interfaces.

Industry estimate, mid-sized bank

80–200

RPA bots running in parallel that have to be reachable to agents.

Industry estimate, RPA fleet size

40K+

Pages of operational documentation locked outside of agent context.

Industry estimate, ops documentation

30%

Of enterprise vendors expected to ship native MCP servers in 2026; the rest is on you.

Forrester, 2026

Before

400+ systems. 80–200 RPA bots. 40K+ pages of docs. None of it agent-reachable.

After

One catalog. One governance plane. Agents see one surface.

The new bottleneck

Production, not protocol.

A mid-sized bank runs 400+ internal systems, most exposing REST APIs at best, many only through thick-client GUIs, some with no machine-readable interface at all. 80-200 RPA bots. 40,000 pages of operational documentation. None of it is agent-ready.

Forrester predicts 30% of enterprise application vendors will ship native MCP servers in 2026. Gartner expects 40% of enterprise applications to embed AI agents by end of 2026, with MCP as the backbone. The production layer is the deciding factor.

The case

Three things are true about the enterprise AI transformation in 2026.

The protocol question is settled.

MCP is the de facto standard. Every major AI platform supports it. Every major enterprise application vendor is adopting it. Building on anything else is now a technical-debt decision.

II.

The production question is not.

Most enterprises do not have the MCP capabilities their agents need. They don't have them because producing them by hand is uneconomical. They won't have them in time because existing tooling doesn't produce them at scale.

III.

The governance question is about to become acute.

As agent volume grows from thousands to millions of daily tool invocations, enterprises without a coherent governance plane will discover, through audit or incident, that they cannot explain what their agents did, why, with whose permissions, at what cost.

The industry first

Four tiers of MCP connectivity.
One governance plane.

No other MCP platform on the market today unifies all four connectivity modes behind a single governance plane. This is the structural choice that separates Bud MCP Foundry from every other product in the category. Everything else in the platform follows from it.

tools/list · tools/call · resources/list · prompts/list, same calls, any tier.

Tier 01

Remote hosted MCPs (1,000+)

Servers vendors have already built and host remotely. Federated over HTTPS, SSE, or Streamable HTTP. OAuth 2.0 credentials encrypted with Fernet and stored securely. Auth propagates to the upstream server so tools execute with the initiating user's permissions, not a shared service account.

Examples

Composio (850+), Zapier MCP (8,000+), Databricks MCP Marketplace (LSEG, FactSet, Nasdaq, Moody's, S&P Global), Notion, Slack, GitHub, Atlassian, Linear.

What Bud adds

Auth credential management with encryption at rest
Team-scoped tool visibility
Policy enforcement layered over vendor tools
FinOps tracking across third-party API spend
Cross-catalog semantic search

Tier 02

Self-hosted stdio-bridged MCPs

Many of the most valuable MCP servers don't exist as hosted services. Google publishes Drive, Gmail, Calendar, and Sheets as stdio CLI tools. Official filesystem, PostgreSQL, Redis, SQLite, Playwright MCPs follow the same pattern. Bud auto-bridges stdio to HTTP/SSE.

Examples

Google Drive / Gmail / Calendar / Sheets, Filesystem, PostgreSQL, Redis, SQLite, MySQL, Playwright, community GitHub MCPs.

What Bud adds

Stdio to HTTP/SSE protocol translation
Subprocess wrapping and keepalive management
Horizontal scaling across worker instances
Per-MCP health with auto-exclusion
Redis-backed distributed session state

Tier 03

AI-generated custom MCPs

The long tail: hundreds of internal systems, legacy applications, industry-specific vendor tools, and custom APIs for which no MCP exists and none will ever be published. Produced automatically from API docs, OpenAPI specs, Postman collections, PDF vendor docs, internal wikis.

Time compression

Custom MCP server development is typically 1-4 weeks per integration per engineer. The Bud pipeline produces governed MCPs in minutes, with no coding required.

What Bud adds

Multi-format ingestion (OpenAPI, Postman, PDF, HTML, Markdown)
Firecrawl-powered documentation crawling
AI-powered enhancement and workflow composition
Evaluator QA with confidence scoring
Dry-run preview and bulk conflict resolution

Tier 04

Internal natively-managed MCPs

Tools, resources, and prompts the enterprise chooses to manage natively within the Foundry. Registered through the Skills Hub, stored in PostgreSQL, executed by the platform's own service layer.

Used for

Bespoke tools built for internal workflows
Composed skills that bundle multiple capabilities
Template-driven prompts encoding institutional knowledge
Shared resources under team-scoped access control
Custom A2A agents as first-class capability providers

Unified by Bifrost

All four tiers are routed transparently. Consumers issue standard MCP calls and receive results. Auth, authorization, rate limiting, observability, and audit apply uniformly regardless of tier.

How Bifrost works

Bifrost is the internal routing plane that abstracts multi-protocol, multi-origin MCP server connectivity into a unified dispatch layer. It is what makes the four-tier tool management look like one tier to consumers.

→Routes MCP method calls to the correct backend: locally registered, federated, or stdio-bridged.

→Normalizes stdio, SSE, and Streamable HTTP into a consistent format.

→Handles protocol version negotiation between gateway and each backend server.

→Performs capability merge across federated peer Foundries with composite key identity resolution.

→Supports qualified naming (gateway.tool) for human-readable references across federation.

→Virtual server composition: build cohesive logical groupings of tools, resources, prompts, and A2A agents exposed as a single endpoint.

How it works

Weeks per integration,
compressed to minutes.

Most enterprise systems will never ship a native MCP. The Foundry produces them automatically from what you already have: an OpenAPI spec, a docs URL, a PDF, or a live REST endpoint. Four pipeline stages: ingest, crawl, enhance, evaluate. No SDK to learn. No boilerplate to write.

5a · MCPfication pipeline

Ingestion

API documentation URLs, OpenAPI 2.0+, Postman Collections, PDF / HTML / Markdown / DOCX, live REST endpoints, wiki exports from Confluence and SharePoint. Bulk import with skip / update / rename / fail conflict strategies and dry-run preview.

›

Crawler (Firecrawl)

Firecrawl-powered traversal of documentation sites. Handles JavaScript-rendered pages, auto-detects OpenAPI specs linked in docs, classifies auth-related pages, infers base URLs. SSRF-protected URL validation. robots.txt compliance.

›

Enhancer

AI-powered analysis that produces workflow-composed tools with agent-optimized descriptions. Parses unstructured documentation, maps parameters to JSON Schema, composes workflow-level tools from related endpoints rather than naive 1:1 mapping.

›

Evaluator

Validates URLs and schema compliance, deduplicates semantically equivalent endpoints, enriches metadata, assigns confidence scores, flags tools below configurable thresholds for human review. Nothing enters the registry without passing.

›

What days-to-value looks like

Two weeks. Zero coding.

Week 1

Stakeholder identifies target systems; upload begins.

Day 1–3

Pipeline processes 20–40 MCPs from REST APIs and documentation.

Day 4–7

Evaluator review, human approval, gradual activation.

Day 8–14

Agents using new capabilities in production with full observability from the first invocation.

5b · Effortless creation

Point the Foundry at what you already have. Approve, ship.

A UI walkthrough of the same pipeline.

Drop in your source

Upload a spec, paste a docs URL, or connect a live API.

Auto-generate & enhance

Workflow tools and agent-optimized descriptions, with confidence scores.

Approve & ship

Click approve and the MCP is live behind Bifrost.

foundry.bud.studio/create

Foundry · Create

OpenAPI ingested 12s · 47 endpoints

Confidence 94% · auto-published

5c · Skills

Compose, then distribute. Skills travel.

Skills are the authoring and distribution layer for composable agent capability. The Hub is where you compose them; the Registry is where they become portable across any MCP-compliant agent.

Skills Hub · authoring

The authoring layer for composable agent skills.

Conceptually similar to how Claude exposes skills via its Skills standard, the Skills Hub lets organizations define self-contained units of capability and make them discoverable and invocable by any MCP-compliant AI agent, regardless of vendor.

Composition

Skill creation by composing tools, resources, and prompts into cohesive, self-contained skill units with JSON Schema validation.

Plugin hook chain

Plugin execution at every lifecycle stage: pre-registration validation, pre-invocation filtering (PII detection, content moderation), post-invocation transformation.

Versioning and events

Naming uniqueness enforcement, version tracking, and change-event publishing to subscriber queues for real-time notification of skill changes.

Skills Registry · distribution

The distribution layer. Skills become portable.

A catalog of predefined, ready-to-use skills covering common enterprise use cases. Your enterprise's procedural expertise, codified in Skills, is no longer tied to Claude or any single vendor. It travels to OpenAI, to on-premises SLMs, to any MCP-compliant agent.

One-click deployment

Pick from the catalog, click deploy, the skill is live. No configuration files, no registration flow.

Snapshot-based versioning

Immutable, reproducible configurations. Each deployed version captured as a snapshot that can be rolled back or exported.

Team-scoped visibility

Share within a team, scope to roles, or publish to the entire platform. Retired skills retain their audit trail.

Govern

One control plane.
Every interaction accounted for.

Every tool invocation, regardless of tier, routes through the same control plane. One audit trail, one policy engine, one place to answer who did what, with whose permission, at what cost. Security, compliance, and observability are built in, not bolted on.

6a · Control plane

Unified observability and governance across every MCP.

End-to-end observability

Distributed traces, per-agent and per-tool latency & cost dashboards, structured audit logs with PII redaction, real-time anomaly alerts.

Centralized governance

RBAC and token scoping at the gateway, Evaluator-gated promotion, regional data residency, secrets handling enforced uniformly across every tier.

Lifecycle & FinOps controls

Versioning, deprecation, and rollback for every published MCP. Quota and budget enforcement per agent, per tenant, per workspace.

6b · Compliance

Built for the controls your security, legal, and compliance teams already require.

RBAC, SSO, fine-grained access policies, immutable audit trails, and ready-to-export compliance reports, available from day one. No bolt-on plugins. No retrofits.

RBAC & access control

Role- and attribute-based access at the gateway. Per-tool, per-tenant, per-workspace scoping. SSO via SAML and OIDC; SCIM provisioning for user lifecycle.

Compliance & data residency

SOC 2, ISO 27001, GDPR, and HIPAA-aligned controls. Region-pinned data flows. PII and secrets redaction enforced before logs leave the trust boundary.

Audit-ready reports

One-click exports for access reviews, tool-usage attestations, and incident investigations. Tamper-evident logs with cryptographic chaining for forensic integrity.

foundry.bud.studio/access

Foundry · Access

RBAC active 1,247 scoped tokens

Audit log tamper-evident chain

SOC 2 ISO 27001 GDPR HIPAA

6c · Security

Defense-in-depth.
No plaintext credentials. Anywhere.

Security is foundational to the platform's design, not an afterthought. Authentication is enforced by default on every API, protocol, and administrative endpoint. Admin surfaces are disabled unless explicitly enabled.

Network

TLS/HTTPS with built-in certificate tooling
HSTS with configurable max-age and subdomains
Secure WebSocket (WSS) for bidirectional MCP
Outbound TLS enforced to upstream MCPs
CORS, CSP, X-Frame-Options, Permissions-Policy

Application

JWT with nine signing algorithms across HMAC / RSA / ECDSA
Argon2id password hashing (OWASP-recommended)
OAuth 2.0 SSO (Google, Entra ID, Okta, Keycloak, GitHub)
PKCE with S256, DCR per RFC 7591
Three-scope RBAC, token scoping (IP / time / server)

Data

AES-256-GCM for tool and resource credentials
Fernet for OAuth client secrets and SSO secrets
Argon2id hash for user passwords
SHA-256 hash for issued API tokens
Zero plaintext persistence, enforced at schema level

Operational

Startup security validation (refuses to boot on weak defaults)
Structured audit logging with sensitive-data masking
SBOM generation for every release
Container image signing and supply-chain verification
Automated vulnerability scanning in CI/CD

Controls map to SOC 2 Trust Services Criteria, ISO 27001:2022 Annex A, OWASP Top 10 (2021), and NIST CSF 2.0. SOC 2 Type II certification is in progress.

Read the full security spec

6d · Observability

Agent-level trails. Enterprise-scale performance.

Agent behavior is non-deterministic. When something goes wrong, the question is never just "what call failed" but "what was the agent trying to do, with what context, and what sequence of calls led here."

LogFire

Dedicated logging for AI agent activity. Per-agent activity trails across tool invocations, skill executions, prompt renderings, and A2A communications. Built for post-incident analysis and compliance reporting at enterprise scale.

OpenTelemetry

W3C Trace Context propagation. Export to OTLP (gRPC/HTTP), Jaeger, Zipkin, or console. Traces stored in the platform's own database when external infrastructure is unavailable.

Prometheus

Metrics on every HTTP endpoint: request counts, duration histograms, size histograms. Per-tool, per-gateway, per-server, per-agent, per-skill, per-prompt counters. Exposed via /metrics/prometheus with GZip.

Health & HA

/health, /ready, /health/security endpoints. Auto-healing with separated enabled/reachable status. Active-active multi-region. PostgreSQL streaming replication. Redis Sentinel/Cluster.

Performance

<50ms

API gateway latency

<500ms

Tool execution (simple)

<100ms

First-byte streaming

10K+

Concurrent connections (min)

100K/min

Request throughput

99.9%

Uptime SLA target

Live performance envelope. SLA-backed in production.

Architecture

Seven layers of clean separation.

Every request traverses the full middleware stack before reaching a backend service. This design enforces consistent security, observability, and policy behavior regardless of which component is accessed.

Layer 01

Consumer

AI agentsClaudeChatGPTGeminiCursorLangChainCrewAIAutoGenLangGraphReact dashboardREST/CLI/SDKfederated peer Foundries

Layer 02

Transport

HTTP/JSON-RPCSSEWebSocketStreamable HTTPstdio (auto-bridged)

Layer 03

API Gateway

ASGI gatewayORJSON/health/ready/health/security

Layer 04

Middleware stack

CORScompressionsecurity headersprotocol validationtoken scopingauthRBACrequest loggingobservability instrumentation

Layer 05

Backend services

FederationGatewayToolTeam ManagementA2AMCP Server

Layer 06

MCP Registry

Tier 1Tier 2Tier 3Tier 4virtual server composition

Layer 07

Data & observability

RedisPostgreSQL 14+ (or MySQL/MariaDB)SQLAlchemy 2.0AlembicLogFireOpenTelemetryPrometheus

Read the full platform architecture

Integrations

Production-ready on day one.
The majority of enterprise tooling.

Pre-built, governed MCP integrations authenticated through standard OAuth, governed through the same plugin and policy hooks as custom tools, observable through the same telemetry pipeline.

Microsoft 365 AWS Azure VMware Notion Slack Linear GitHub GitLab Bitbucket Atlassian Composio Zapier Google Workspace Anthropic OpenAI Google Cloud LangChain CrewAI

Microsoft 365

Native M365 surface

Exchange Online, SharePoint, Teams, Entra ID (Azure AD), OneDrive, Microsoft Graph API.

AWS

Cloud infra

S3, Lambda, DynamoDB, CloudWatch, IAM, EC2, RDS.

Azure

Managed services

Azure Storage, Functions, Cosmos DB, Monitor, Virtual Machines, Azure SQL Database.

VMware

On-prem virtualization

vCenter API, VM lifecycle (create / clone / power / delete), resource monitoring, snapshot management.

Third-party MCPs

1,000+ federated

Notion, Slack, Linear, GitHub, GitLab, Bitbucket, Atlassian suite. Composio (850+), Zapier MCP (8,000+). Databricks Marketplace (LSEG, FactSet, Nasdaq, Moody's, S&P).

Stdio (auto-bridged)

Self-hosted MCPs

Google Drive, Gmail, Calendar, Sheets. Filesystem, PostgreSQL, Redis, SQLite, MySQL. Playwright. Community GitHub MCPs.

LLM providers

Vendor-agnostic

OpenAI, Anthropic Claude, Google Gemini, Mistral, Cohere, any OpenAI-compatible endpoint, on-premises SLMs via Bud AI Foundry.

Agent frameworks

First-class support

LangChain / LangGraph, CrewAI, AutoGen / AG2, A2A and ACP protocols, Bud Agent (native), custom framework plugins.

Custom

AI-generated MCPs

Any internal system you own. Produced by the MCPfication pipeline from OpenAPI specs, documentation, PDFs, or live REST endpoints.

Browse the complete integrations catalog

Industry applications

Patterns grounded in the constraints specific industries face.

Realizable within 60-180 days depending on scope. The Foundry produces capabilities from heterogeneous existing systems, federates them across regulatory zones, and provides the agent-facing governance plane.

Worked example

Banking & financial services.

A universal bank in India or Southeast Asia runs on 300-500 systems: core banking (Finacle, Flexcube, TCS BaNCS), loan origination, trade finance, treasury, AML and sanctions engines, CRM, digital channels, 80-200 RPA bots, and hundreds of spreadsheet-based operational processes. RBI data sovereignty is strict; the PCI-DSS perimeter is non-negotiable.

Typical deployment: three to five federated Foundry instances, one per regulatory zone, bridged to a central intelligence zone running Bud AI Foundry and Bud Agent. AML investigation drops from 4-6 hours per alert to 20-30 minutes of analyst review. Trade pre-clearance returns approval or denial with audit log in under 30 seconds.

Three to five federated Foundry instances, one per regulatory zone, bridged to a central intelligence zone.

Public sector & government

Sovereign, air-gapped deployments. Citizen-service automation integrating identity, benefits, payments, and document verification. Defence and intelligence. Havaai Buddhi aviation modernization. BharatGen-aligned sovereign AI. Tax and revenue administration.

Healthcare

Clinical documentation support. Pre-authorization automation (2-4 days down to 2-4 hours). Appointment orchestration. Clinical research cohort identification with PII-filtered access.

Manufacturing

Predictive maintenance workflows. Quality investigation tracing across ERP / MES / QMS. Supply chain exception handling with alternative-source evaluation.

Insurance

Claims triage and fraud detection. Commercial lines underwriting augmentation. Bancassurance cross-sell with regulatory suitability.

Telecommunications

NOC first-line alerting with OSS alarm correlation. Customer care tier-1 resolution. B2B circuit provisioning.

Retail

Inventory synchronization and exception handling. Unified commerce customer service. Supplier compliance monitoring. Merchandising decision support.

Explore industry solutions in depth

How it compares

The MCP market has three layers.
No incumbent covers all three.

The MCP gateway market in 2026 is crowded. Bud MCP Foundry's positioning has to be earned, not asserted. Here is the honest picture.

Layer 1

MCP Server Generation

OpenAPI-to-MCP generators: Stainless, Speakeasy Gram, FastMCP, AWS openapi-mcp-server. Mature only for systems with formal OpenAPI specs, which is a minority of enterprise tooling.

Layer 2 · where Bud plays

Gateway & Registry

IBM ContextForge, Kong MCP, Cloudflare MCP Portals, Azure APIM MCP. Solve routing, governance, and observability across an MCP fleet, but do not produce the fleet itself.

Layer 3

Hosting & Catalogs

Composio (850+ managed), Zapier MCP (8,000+ app-level), vendor-direct MCPs published by Notion, Slack, GitHub, Atlassian, Linear, and others.

Same kernel lineage. Different product surface.

Capability

ContextForge

Bud Foundry

JSON-RPC, HTTP, SSE, WebSocket, Streamable HTTP

Gateway federation with DNS-SD auto-discovery

Tool registry with JSON Schema validation and rate limiting

External MCP server connectivity

Plugin extension system with pre/post hooks

Automated MCP creation from API documentation

Firecrawl-powered documentation crawling

AI-powered tool enhancement and evaluation

Multi-format ingestion (OpenAPI, Postman, PDF, HTML, Markdown)

Confidence scoring, dry-run preview, bulk conflict resolution

Predefined Skills Registry with one-click deployment

Snapshot-based skill versioning

Bifrost unified routing plane

Auto-bridge stdio MCPs to HTTP/SSE with horizontal scaling

LogFire AI-agent activity logging

Token scoping (IP / time / server), startup security validation

Bud MCP Foundry inherits the gateway foundations and adds the production layer above them.

Three ways to evaluate

Start where your team is today.

Path 01

Open-source kernel

The underlying ContextForge kernel is open source under Apache 2.0. Evaluation teams can deploy it standalone to validate base gateway behavior before committing to the full platform.

Visit the repo

Path 02

Developer edition

Single-node deployment of the full Foundry, including the MCPfication factory, Skills Hub, Bifrost, and governance plane. For non-production evaluation against the complete platform surface.

Request developer access

Path 03

60-day pilot

A scoped pilot against a specific business function, delivered by Bud or an Accubits engagement team. Produces 50-100 MCP capabilities and a governed agent application on real infrastructure.

Start a pilot engagement

Go deeper.

Whitepaper

The full product specification, security architecture, and compliance matrix for CTOs and enterprise architects.

Request the whitepaper

Documentation

Platform architecture, deployment topologies, integration catalog, and operational guides for engineering teams.

Browse the documentation

Contact

For deployment discussions, partner engagements, or technical evaluation conversations with the Bud team.

Get in touch

Bud MCP Foundry

Agentic systems are evolving fast.Is your organisation AI-ready?

Production, not protocol.

Three things are true about the enterprise AI transformation in 2026.

The protocol question is settled.

The production question is not.

The governance question is about to become acute.

Four tiers of MCP connectivity.One governance plane.

Remote hosted MCPs (1,000+)

Self-hosted stdio-bridged MCPs

AI-generated custom MCPs

Internal natively-managed MCPs

How Bifrost works

Weeks per integration,compressed to minutes.

Ingestion

Crawler (Firecrawl)

Enhancer

Evaluator

Two weeks. Zero coding.

Point the Foundry at what you already have. Approve, ship.

Compose, then distribute. Skills travel.

The authoring layer for composable agent skills.

The distribution layer. Skills become portable.

One control plane.Every interaction accounted for.

Unified observability and governance across every MCP.

Built for the controls your security, legal, and compliance teams already require.

Defense-in-depth.No plaintext credentials. Anywhere.

Network

Application

Data

Operational

Agent-level trails. Enterprise-scale performance.

LogFire

OpenTelemetry

Prometheus

Health & HA

Seven layers of clean separation.

Production-ready on day one.The majority of enterprise tooling.

Native M365 surface

Cloud infra

Managed services

On-prem virtualization

1,000+ federated

Self-hosted MCPs

Vendor-agnostic

First-class support

AI-generated MCPs

Patterns grounded in the constraints specific industries face.

Banking & financial services.

Public sector & government

Healthcare

Manufacturing

Insurance

Telecommunications

Retail

The MCP market has three layers.No incumbent covers all three.

MCP Server Generation

Gateway & Registry

Hosting & Catalogs

Start where your team is today.

Open-source kernel

Developer edition

60-day pilot

Go deeper.

Whitepaper

Documentation

Contact

Company

Product

Resources

Agentic systems are evolving fast.
Is your organisation AI-ready?

Four tiers of MCP connectivity.
One governance plane.

Weeks per integration,
compressed to minutes.

One control plane.
Every interaction accounted for.

Defense-in-depth.
No plaintext credentials. Anywhere.

Production-ready on day one.
The majority of enterprise tooling.

The MCP market has three layers.
No incumbent covers all three.