Obot

Obot AI (formerly Acorn Labs) builds an open-source MCP Gateway and platform that gives organizations a central control point for Model Context Protocol (MCP) servers and AI agent Skills. Obot lets teams host local, remote, and multi-tenant MCP servers, publish an internal MCP catalog/registry, enforce OAuth-based access control and policy, and capture audit logs across every agent integration. It ships a built-in chat client with multi-model support, an enterprise edition with Okta and Microsoft Entra identity, and the companion Nanobot framework for building standalone MCP hosts. Written in Go and MIT-licensed, Obot self-hosts on Docker or Kubernetes.

Obot is profiled on the APIs.io network. Tagged areas include Company, MCP, AI Agents, MCP Gateway, and Open Source.

Obot’s developer surface includes developer portal, documentation, getting-started guide, engineering blog, support, authentication, CLI, and 15 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

30.8/100 thin ▬ flat Agent 6/100 agent aware Front door AI 6/6 dominant Heartbeat 94/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs 1 MCP Servers

Company MCP AI Agents MCP Gateway Open Source Agent Governance Access Control Developer Tools

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 30.8/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 10.9 / 17

Access Clarity 3.6 / 17

Operational Transparency 3.2 / 11

Contract Governance 1.9 / 10

Discoverability 4.7 / 9

Regulatory Posture 4.6 / 15

Agent readiness — 6/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

11 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Access Clarity scores 21.1 — up to +15.8 composite points
Contract Governance scores 18.2 — up to +9.8 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/obot/apis.yml: open an issue on github.com/api-evangelist/obot to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Obot MCP Server

Obot is itself an MCP Gateway / platform — its core product is the hosting, cataloguing, and governance of Model Context Protocol servers. Rather than a single hosted MCP endpoi...

MCP SERVER

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Obot Authentication

oauth2/openIdConnect · 0 schemes

SECURITY

Obot Domain Security

TLSv1.3 · DMARC

SECURITY

Obot Vulnerability Disclosure

disclosure policy published

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Portal

Portal

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Lifecycle

Lifecycle

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 4

Authentication, authorization, and security posture

VulnerabilityDisclosure

VulnerabilityDisclosure

Security

Security

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 2

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 3

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

Source (apis.yml)

aid: obot
name: Obot
description: Obot AI (formerly Acorn Labs) builds an open-source MCP Gateway and platform that gives organizations a central
  control point for Model Context Protocol (MCP) servers and AI agent Skills. Obot lets teams host local, remote, and multi-tenant
  MCP servers, publish an internal MCP catalog/registry, enforce OAuth-based access control and policy, and capture audit
  logs across every agent integration. It ships a built-in chat client with multi-model support, an enterprise edition with
  Okta and Microsoft Entra identity, and the companion Nanobot framework for building standalone MCP hosts. Written in Go
  and MIT-licensed, Obot self-hosts on Docker or Kubernetes.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://obot.ai/wp-content/uploads/2026/05/obot_linkedin_01-1500x396-2.png
url: https://raw.githubusercontent.com/api-evangelist/obot/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- mayfield
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
x-docs-platform: docusaurus
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-04
tags:
- Company
- MCP
- AI Agents
- MCP Gateway
- Open Source
- Agent Governance
- Access Control
- Developer Tools
tags_raw:
- Company
- MCP
- Model Context Protocol
- AI Agents
- MCP Gateway
- Open Source
- Agent Governance
- Access Control
- Developer Tools
- Open-Source
apis: []
common:
- url: https://obot.ai/blog/feed/
  type: BlogRSS
- type: VulnerabilityDisclosure
  url: security/obot-vulnerability-disclosure.yml
- type: Security
  url: https://github.com/obot-platform/obot/security/advisories
- type: DomainSecurity
  url: security/obot-domain-security.yml
- type: Website
  url: https://obot.ai/
- type: Portal
  url: https://docs.obot.ai/
- type: Documentation
  url: https://docs.obot.ai/
- type: GettingStarted
  url: https://docs.obot.ai/installation/overview/
- type: GitHubOrganization
  url: https://github.com/obot-platform
- type: Blog
  url: https://obot.ai/blog/
- type: Support
  url: https://obot.ai/contact-us/
- type: TermsOfService
  url: https://obot.ai/terms-of-use/
- type: PrivacyPolicy
  url: https://obot.ai/privacy-policy/
- type: Packages
  url: packages/obot-packages.yml
- type: SDKs
  url: packages/obot-packages.yml
- type: Authentication
  url: authentication/obot-authentication.yml
- type: CLI
  url: cli/obot-cli.yml
- type: MCPServer
  url: mcp/obot-mcp.yml
- type: LLMsTxt
  url: llms/obot-llms.txt
- type: Conformance
  url: conformance/obot-conformance.yml
- type: Lifecycle
  url: lifecycle/obot-lifecycle.yml
- type: ChangeLog
  url: changelog/obot-changelog.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 10
  pass: local-v1

Obot API — frequently asked questions

How do I authenticate with the Obot API?

Obot uses bearer-token authentication (oauth2/openIdConnect · 0 schemes). The details are profiled on APIs.io as Obot Authentication.

Does Obot have an MCP server?

Yes. APIs.io lists 1 MCP server for Obot: Obot is itself an MCP Gateway / platform — its core product is the hosting, cataloguing, and governance of Model Context Protocol servers. Rather than a single hosted MCP endpoint, Obot provides an MC

Is the Obot API ready for AI agents?

Obot has a Kin Score of 30.8 out of 100 (thin) and an Agent Readiness score of 6.0 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

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How their score was established

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