Barndoor
Barndoor AI is the control plane for agentic AI, providing secure access and governance for AI agents and Model Context Protocol (MCP) servers. Founded in 2024 by Oren Michels (founder of Mashery), Barndoor enables enterprise IT, security, and developer teams to register agents, govern MCP server access through policy, broker OAuth connections to backend SaaS, and proxy MCP traffic with runtime policy enforcement and full audit trails. The Barndoor Platform REST API manages servers, connections, policies, agents, and MCP / SSE request proxying. Python, TypeScript, and Go SDKs are published on GitHub alongside Rust SDKs (Cerbos, official MCP, MCP OAuth compliance suite) and a Crew AI example. Deployment options include SaaS (trial), private cloud, and on-premises (Enterprise).
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Barndoor the way a machine reads it — 143 machine-readable artifacts across 13 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Barndoor scores 65.1/100 (strong), with a separate agent-readiness read of 48/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Barndoor
Each block below is one kind of artifact we hold for Barndoor. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 13
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Barndoor Python SDK
Python SDK for the Barndoor AI Platform. Wraps the Platform REST API, handles Auth0 PKCE login (`loginInteractive()`), discovers governed MCP tools, brokers OAuth connections to...
Barndoor TypeScript SDK
TypeScript SDK for the Barndoor AI Platform. Browser- and Node-friendly client for Auth0 PKCE login, governed MCP tool discovery, OAuth connection initiation, and proxying MCP /...
Barndoor Go SDK
Go SDK for the Barndoor AI Platform. Server-side client for registering agents, managing MCP servers and policies, brokering OAuth connections, and proxying MCP requests from Go...
Official MCP Rust SDK
The official Rust SDK for the Model Context Protocol. Maintained under the Barndoor AI GitHub organization; provides primitives to build MCP clients and servers in Rust.
Cerbos Rust SDK
Rust SDK for Cerbos, the policy-decision-point used by Barndoor for attribute-based access control. Lets Rust services request policy decisions from a Cerbos PDP.
MCP OAuth Compliance Suite
Rust test suite that validates remote MCP servers against the MCP authorization specification - RFC 9728 (Protected Resource Metadata), RFC 8414 (Authorization Server Metadata),...
Barndoor + Crew AI Example
Reference Python demo application showing how to plug Barndoor-governed MCP tools into a Crew AI multi-agent workflow.
Barndoor Agents API
Manage AI agent registrations
Barndoor Connections API
Manage OAuth connections to MCP servers
Barndoor MCP Proxy API
Proxy requests to MCP servers
Barndoor Policies API
Manage access control policies for agents and servers
Barndoor Policy API
The Policy API from Barndoor — 1 operation(s) for policy.
Barndoor Servers API
Manage MCP server instances
Scroll within the panel for all 13 ·
Open Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Barndoor Platform API
OPEN COLLECTIONPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Barndoor Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Barndoor Finops
FINOPSFeatures 14
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
MCP Governance
Secure access control and policy enforcement for Model Context Protocol servers.
Runtime Policy Enforcement
Continuous governance applied at the moment AI agents act, not just at login.
Right-Sized Permissions
Precise, scoped access for agents - not broad human-level permissions.
Context Filtering
Dynamically surface only policy-compliant MCP tools, optimizing the context window.
AI Agent Registry
Register internal and external agents, group them, and track activity.
OAuth Connection Brokering
Initiate and manage OAuth 2.0 connections from agents to backend SaaS.
MCP / SSE Proxying
Streaming proxy that injects credentials and enforces policy on every MCP and SSE request.
Policy Authoring (RBAC/ABAC)
Create, clone, version, validate, and apply Cerbos-based RBAC and ABAC policies.
Audit Dashboards and Activity Logs
Complete audit trails for every AI action, applied policy, and outcome.
Audit Log Export
Stream audit events as gzipped JSON Lines to S3 / GCS / MinIO / SeaweedFS buckets.
Shadow AI Discovery
Centralized visibility into unauthorized AI apps and agents in the environment.
Identity Provider Integration
Connect to existing enterprise IdPs (Keycloak-based) for SSO and identity.
Static Egress IPs
Five dedicated outbound IPs for whitelisting Barndoor traffic at MCP servers.
Private and On-Prem Deployment
SaaS, private cloud, and on-premises deployment options for sensitive environments.
Scroll within the panel for all 14 ·
Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Barndoor Context
JSON-LDSpectral Rules 2
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Barndoor API Rules
SPECTRALBarndoor API Rules
SPECTRALJSON Schema 24
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
AgentCounts
JSON SCHEMAAgentDirectoryBase
JSON SCHEMAAgentPayload
JSON SCHEMAAgentResponse
JSON SCHEMAAgent
JSON SCHEMAConnectionInitiationResponse
JSON SCHEMAConnectionStatusResponse
JSON SCHEMAError
JSON SCHEMAFilterCategory
JSON SCHEMAFilterOption
JSON SCHEMAPaginationMeta
JSON SCHEMAPolicyDetail
JSON SCHEMAPolicyRevisionSummary
JSON SCHEMAPolicyRuleCondition
JSON SCHEMAPolicyRule
JSON SCHEMAPolicySummary
JSON SCHEMAServerCreateRequest
JSON SCHEMAServerCreateResponse
JSON SCHEMAServerDetail
JSON SCHEMAServerSummary
JSON SCHEMAServerUpdateRequest
JSON SCHEMAUpdatePolicy
JSON SCHEMAValidatePolicyRequest
JSON SCHEMAValidatePolicyResponse
JSON SCHEMAScroll within the panel for all 24 ·
JSON Structure 24
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Barndoor Agent Counts Structure
JSON STRUCTUREBarndoor Agent Directory Base Structure
JSON STRUCTUREBarndoor Agent Payload Structure
JSON STRUCTUREBarndoor Agent Response Structure
JSON STRUCTUREBarndoor Agent Structure
JSON STRUCTUREBarndoor Connection Initiation Response Structure
JSON STRUCTUREBarndoor Connection Status Response Structure
JSON STRUCTUREBarndoor Error Structure
JSON STRUCTUREBarndoor Filter Category Structure
JSON STRUCTUREBarndoor Filter Option Structure
JSON STRUCTUREBarndoor Pagination Meta Structure
JSON STRUCTUREBarndoor Policy Detail Structure
JSON STRUCTUREBarndoor Policy Revision Summary Structure
JSON STRUCTUREBarndoor Policy Rule Condition Structure
JSON STRUCTUREBarndoor Policy Rule Structure
JSON STRUCTUREBarndoor Policy Summary Structure
JSON STRUCTUREBarndoor Server Create Request Structure
JSON STRUCTUREBarndoor Server Create Response Structure
JSON STRUCTUREBarndoor Server Detail Structure
JSON STRUCTUREBarndoor Server Summary Structure
JSON STRUCTUREBarndoor Server Update Request Structure
JSON STRUCTUREBarndoor Update Policy Structure
JSON STRUCTUREBarndoor Validate Policy Request Structure
JSON STRUCTUREBarndoor Validate Policy Response Structure
JSON STRUCTUREScroll within the panel for all 24 ·
Examples 48
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Barndoor Agent Example
EXAMPLEBarndoor Error Example
EXAMPLEBarndoor Get Agent Example
EXAMPLEBarndoor Get Policy Example
EXAMPLEBarndoor Get Server Example
EXAMPLEBarndoor List Agents Example
EXAMPLEBarndoor Policy Rule Example
EXAMPLEScroll within the panel for all 48 ·
Security Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 7
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
Enterprise AI Governance
Apply access policies and governance to AI agents across the organization.
MCP Server Management
Centrally register, secure, and manage MCP server deployments for AI agents.
Agentic Workflow Orchestration
Coordinate multi-agent workflows with security and accountability controls.
AI Security and Data Exfiltration Prevention
Prevent unauthorized AI agent actions and limit data exfiltration.
Shadow AI Discovery
Surface unauthorized AI apps and agents already running in the environment.
Developer Tooling for Governed Agents
Build agents safely with end-to-end policy enforcement via SDKs.
Microsoft 365 Agent Governance
Govern agents that work across Microsoft 365 (Excel, Outlook, Teams, OneDrive).
Scroll within the panel for all 7 ·
Solutions 2
Packaged solutions the provider offers on top of the raw API surface.
Packaged solutions this provider offers.
IT & Security Teams
Centralize AI governance, manage shadow AI, and enforce real-time access controls at scale.
Developers
Deploy agents safely without custom security logic, with end-to-end policy across dev, staging, and prod.
Resources
Every other property we hold for Barndoor — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 2
Portal, sign-up, and the first successful call
Documentation 3
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 8
Authentication, authorization, and security posture
Scroll within the panel for all 8 ·
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
Other 2
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/barndoor · machine-readable index on apis.io