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Klavis AI
Klavis AI
Klavis AI is an open-source MCP integration platform that lets AI agents reliably use external tools at production scale. The product line is organized around Strata (intelligent connectors that compress and route tool context), 100+ prebuilt MCP integrations with OAuth, and an MCP Sandbox for live agent training and evaluation. Target customers are AI agent companies, RL teams, and enterprises that need long-horizon multi-app environments with seeded state, resets, and verifiable outcomes, plus SOC 2 Type II and GDPR posture. SDKs are available for Python and TypeScript/JavaScript, integrations cover Claude, OpenAI, Gemini, Cohere, Mistral, LangChain/LangGraph, LlamaIndex, CrewAI, Mastra, Agno, Fireworks, Together, and Google ADK, and the project is Apache-2.0 on GitHub.
Klavis AI publishes 4 APIs on the APIs.io network, including MCP Servers API, Sandbox API, Tools API, and 1 more. Tagged areas include MCP, Model Context Protocol, MCP Servers, MCP Hosting, and Connectors.
Klavis AI’s developer surface includes authentication, documentation, engineering blog, pricing, and 8 more developer resources.
5 APIs
MCP Model Context Protocol MCP Servers MCP Hosting Connectors OAuth Sandboxes Agent Training Reinforcement Learning White Label Open Source Strata
On this page
Kin Score
APIs 5
Open Collections 1
Pricing Plans 1
Rate Limits 1
FinOps 1
Security Posture 2
Agentic Access 1
Resources 12
apis.yml
26 Operational Transparency
Composite quality — 43.5/100 · developing
Contract Quality
16.3 / 25
Developer Ergonomics
4.3 / 20
Commercial Clarity
12.1 / 20
Operational Transparency
3.4 / 13
Agent readiness — 31/100 · agent aware
Machine-Readable Contract
18 / 18
Agentic Access Contract
10 / 10
MCP Server
0 / 12
Machine-Readable Auth
10 / 10
Idempotency
0 / 9
Stable Error Semantics
0 / 8
Request/Response Examples
0 / 7
Rate-Limit Signaling
7 / 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
Individual APIs this provider publishes, each with its own machine-readable definition.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Published pricing tiers and plan structures.
Documented rate limits and quota policies.
Cost, billing, and metering signals for API financial operations.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Recommended x-agentic-access execution contracts for AI agents.
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Source (apis.yml)
aid: klavis
name: Klavis AI
description: Klavis AI is an open-source MCP integration platform that lets AI agents reliably use external tools at production
scale. The product line is organized around Strata (intelligent connectors that compress and route tool context), 100+ prebuilt
MCP integrations with OAuth, and an MCP Sandbox for live agent training and evaluation. Target customers are AI agent companies,
RL teams, and enterprises that need long-horizon multi-app environments with seeded state, resets, and verifiable outcomes,
plus SOC 2 Type II and GDPR posture. SDKs are available for Python and TypeScript/JavaScript, integrations cover Claude,
OpenAI, Gemini, Cohere, Mistral, LangChain/LangGraph, LlamaIndex, CrewAI, Mastra, Agno, Fireworks, Together, and Google
ADK, and the project is Apache-2.0 on GitHub.
type: Index
accessModel:
pricing: free
onboarding: self-serve
trial: false
try_now: true
public: false
label: Free · Self-serve signup
confidence: high
source:
- plans
- authentication
generated: '2026-07-22'
method: derived
position: Provider
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/klavis.png
tags:
- MCP
- Model Context Protocol
- MCP Servers
- MCP Hosting
- Connectors
- OAuth
- Sandboxes
- Agent Training
- Reinforcement Learning
- White Label
- Open Source
- Strata
url: https://raw.githubusercontent.com/api-evangelist/klavis/refs/heads/main/apis.yml
created: '2026-05-23'
modified: '2026-05-23'
specificationVersion: '0.20'
apis:
- aid: klavis:mcp-platform
name: Klavis MCP Platform API
description: The Klavis API manages hosted MCP servers, OAuth flows for 50+ integrated services, Strata multi-tool servers,
and live sandbox environments. Endpoints cover MCP server CRUD and tool invocation, sandbox VM acquisition and reset,
data initialization and export, user and integration management, and white-label OAuth branding.
humanURL: https://www.klavis.ai/docs
baseURL: https://api.klavis.ai
tags:
- MCP Servers
- Strata
- Sandboxes
- OAuth
- Integrations
- White Label
- Users
properties:
- type: Documentation
url: https://www.klavis.ai/docs
- type: APIReference
url: https://www.klavis.ai/docs/api-reference
- type: GettingStarted
url: https://www.klavis.ai/docs/quickstart
- type: Signup
url: https://www.klavis.ai/home
- type: SDKs
url: https://pypi.org/project/klavis/
- type: SDKs
url: https://www.npmjs.com/package/klavis
- type: GitHubRepository
url: https://github.com/Klavis-AI/klavis
- type: GitHubOrganization
url: https://github.com/Klavis-AI
- type: Pricing
url: https://www.klavis.ai/pricing
- type: LlmsText
url: https://www.klavis.ai/docs/llms.txt
features:
- name: Hosted MCP Servers
description: Create, manage, and call 100+ prebuilt MCP servers via REST endpoints.
- name: Strata Unified Server
description: Single MCP endpoint that intelligently routes across multiple tool integrations to fit LLM context windows.
- name: OAuth for 50+ Services
description: Built-in OAuth flows for Gmail, Slack, Salesforce, HubSpot, Notion, GitHub, and more.
- name: White-Label OAuth
description: Brand OAuth screens and bring your own credentials for customer-facing apps.
- name: MCP Sandbox
description: Scalable, isolated VMs with seeded state, resets, parallel isolation, and snapshot export for agent training.
- name: Realistic Task Environments
description: Long-horizon multi-app scenarios spanning browser, code, SaaS, and MCP servers with verifiable outcomes.
- name: User & Integration Management
description: Manage end users, stored credentials, and which integrations are exposed per agent.
- name: Open Source Core
description: Apache-2.0 codebase covering 100+ MCP servers and Strata.
- name: Compliance
description: SOC 2 Type II and GDPR posture for regulated deployments.
useCases:
- name: Production Agent Integrations
description: Connect agents to Gmail, Slack, Salesforce, HubSpot, GitHub, Notion, and more without writing per-tool glue.
- name: Agent RL and Evals
description: Run reinforcement learning and evaluations in realistic multi-app sandboxes with verifiable outcomes.
- name: White-Label MCP for SaaS
description: Embed MCP-powered tools into your own product under your own brand.
- name: Tool Context Optimization
description: Use Strata to expose hundreds of tools to an LLM without overflowing context.
- name: Self-Hosted MCP
description: Deploy the open-source servers on your own infrastructure.
integrations:
- name: Claude
- name: OpenAI
- name: Gemini
- name: Cohere
- name: Mistral
- name: LangChain
- name: LangGraph
- name: LlamaIndex
- name: CrewAI
- name: Mastra
- name: Agno
- name: Fireworks AI
- name: Together AI
- name: Google ADK
- name: Claude Desktop
- name: Cursor
- name: VS Code
- name: Continue
authentication:
- type: API Key
description: 'Account API keys passed via the `Authorization: Bearer` header authenticate REST and SDK calls.'
- type: OAuth2
description: Built-in OAuth 2.0 flows handle credentials for 50+ third-party services on behalf of end users.
- aid: klavis:klavis-mcp-servers-api
name: Klavis AI MCP Servers API
description: Create and manage hosted MCP server instances
humanURL: https://www.klavis.ai/docs
baseURL: https://api.klavis.ai
tags:
- MCP Servers
properties:
- type: OpenAPI
url: openapi/klavis-mcp-servers-api-openapi.yml
- aid: klavis:klavis-sandbox-api
name: Klavis AI Sandbox API
description: Acquire and manage isolated sandbox VMs
humanURL: https://www.klavis.ai/docs
baseURL: https://api.klavis.ai
tags:
- Sandbox
properties:
- type: OpenAPI
url: openapi/klavis-sandbox-api-openapi.yml
- aid: klavis:klavis-tools-api
name: Klavis AI Tools API
description: List and invoke MCP server tools
humanURL: https://www.klavis.ai/docs
baseURL: https://api.klavis.ai
tags:
- Tools
properties:
- type: OpenAPI
url: openapi/klavis-tools-api-openapi.yml
- aid: klavis:klavis-users-api
name: Klavis AI Users API
description: End-user metadata for agent integrations
humanURL: https://www.klavis.ai/docs
baseURL: https://api.klavis.ai
tags:
- Users
properties:
- type: OpenAPI
url: openapi/klavis-users-api-openapi.yml
common:
- type: AgenticAccess
url: agentic-access/klavis-agentic-access.yml
- type: DomainSecurity
url: security/klavis-domain-security.yml
- type: Authentication
url: authentication/klavis-authentication.yml
- type: Website
url: https://www.klavis.ai
- type: Documentation
url: https://www.klavis.ai/docs
- type: Blog
url: https://www.klavis.ai/blog
- type: GitHubOrganization
url: https://github.com/Klavis-AI
- type: GitHubRepository
url: https://github.com/Klavis-AI/klavis
- type: Pricing
url: https://www.klavis.ai/pricing
- type: Contact
url: https://www.klavis.ai/contact
- type: TermsOfService
url: https://www.klavis.ai/terms
- type: PrivacyPolicy
url: https://www.klavis.ai/privacy
maintainers:
- FN: Kin Lane
email: kin@apievangelist.com