Organizations that spent years building their systems shouldn't have to rebuild for the agentic future. That's why we built Bud MCP Foundry — a platform that turns your existing tools, workflows, and knowledge into governed MCP tools, while federating 1,000+ third-party MCPs through a unified control plane, so your organization is agent-ready without rebuilding.
Bud MCP Foundry produces the MCP capabilities your enterprise needs from your internal APIs, documentation, knowledge, and systems, federates 1,000+ third-party MCPs, and governs every agent-tool interaction through one control plane. So any MCP-compliant agent can do real work with your organisation.
What took weeks of custom engineering now takes minutes. Zero code.
Your data stays where regulators require. Your agents still work across every boundary.
Identity, authorization, scoping, encryption, audit. One plane. Every call.
One governance plane. Zero complexity at the surface.
Every tool invocation, whether third-party, auto-bridged, AI-generated, or native, routes through the same plane. One audit trail. One policy engine. One place to answer “who did what, with whose permission, at what cost?”
The controls your security, legal, and compliance teams require are built in, not bolted on. RBAC, SSO, data residency, immutable audit trails, and exportable compliance reports ship at deployment. Not after a retrofitting sprint.
Compose tools, resources, and prompts into self-contained Skills. Distribute them through a governed catalog. Run them on Claude, ChatGPT, Cursor, LangChain, CrewAI, or on-prem SLMs. Your procedural expertise travels with you, not locked to any single vendor.
Five transport protocols normalized into a single dispatch layer. Agents issue standard MCP calls. The gateway handles the rest.
Most MCP setups stuff the entire tool catalog into every prompt — burning tokens, blowing context windows, confusing tool selection. Bud Smart Discovery is semantic retrieval for tools. Per query, only the relevant ones reach the LLM.
The numbers your platform team needs to know before they sign off.
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.
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.
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.
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."
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.
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.
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, /ready, /health/security endpoints. Auto-healing with separated enabled/reachable status. Active-active multi-region. PostgreSQL streaming replication. Redis Sentinel/Cluster.
Talk to our team about your enterprise MCP strategy, or watch a live walkthrough of the platform tailored to your stack.