Mona Ai

Mona AI GmbH (mona-ai.de) is a German AI recruiting-automation company backed by Earlybird. Its platform combines AI agents and digital avatars to automate recruiting and HR processes for staffing agencies and enterprises: 24/7 candidate outreach, automated pre-qualification and candidate-profile generation, and "digital branch" structures — built to be fully GDPR- and EU-AI-Act-compliant. Products include MONA Recruiting, MONA Recruiting Light, MONA Agents, MONA Digital Branch, MONA Consulting and MONA ARS, an autonomous prompt-driven recruiting system that sources, screens, schedules and reports automatically. The website is Wix-hosted and exposes a Wix Site MCP endpoint plus an llms.txt for AI-agent access; the recruiting product itself runs behind a login and does not publish a public developer API, SDK or OpenAPI.

Mona Ai is profiled on the APIs.io network. Tagged areas include Company, Recruiting, Human Resources, AI Agents, and Automation.

Mona Ai’s developer surface includes engineering blog, pricing, support, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

11.1/100 emerging ▬ flat Agent 2/100 human only Front door AI 4/6 moderate Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs 1 MCP Servers

Company Recruiting Human Resources AI Agents Automation Germany MCP

Kin Score

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

Composite quality — 11.1/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 4.7 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 1.5 / 15

Agent readiness — 2/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 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 Employment & Payroll regime (on an ambiguous tag, where no other regime matched), 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
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
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

12 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
Developer Ergonomics scores 7.1 — up to +18.6 composite points
Access Clarity scores 27.6 — up to +14.5 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/mona-ai/apis.yml: open an issue on github.com/api-evangelist/mona-ai 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 2

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 (platform)

Universal Commerce Protocol (UCP)

measured — observed by APIs.io (self)

MCP Servers 1

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

Mona AI Site MCP

Hosted Model Context Protocol (MCP) server automatically provided by the Wix platform for the mona-ai.de website. It lets AI agents connect directly to read live, current websit...

MCP SERVER

Security Posture 1

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

Mona Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

WellKnown

WellKnown

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

PrivacyPolicy

PrivacyPolicy

LegalNotice

LegalNotice

Company 4

The organization behind the API

Website

Website

Blog

Blog

BlogRSS

BlogRSS

LinkedIn

Source (apis.yml)

aid: mona-ai
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:
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/mona-ai.png
name: Mona Ai
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 4
  pass: local-v1
description: 'Mona AI GmbH (mona-ai.de) is a German AI recruiting-automation company backed by Earlybird. Its platform combines
  AI agents and digital avatars to automate recruiting and HR processes for staffing agencies and enterprises: 24/7 candidate
  outreach, automated pre-qualification and candidate-profile generation, and "digital branch" structures — built to be fully
  GDPR- and EU-AI-Act-compliant. Products include MONA Recruiting, MONA Recruiting Light, MONA Agents, MONA Digital Branch,
  MONA Consulting and MONA ARS, an autonomous prompt-driven recruiting system that sources, screens, schedules and reports
  automatically. The website is Wix-hosted and exposes a Wix Site MCP endpoint plus an llms.txt for AI-agent access; the recruiting
  product itself runs behind a login and does not publish a public developer API, SDK or OpenAPI.'
url: https://raw.githubusercontent.com/api-evangelist/mona-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- earlybird
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Recruiting
- Human Resources
- AI Agents
- Automation
- Germany
- MCP
tags_raw:
- Company
- Recruiting
- Human Resources
- HR Tech
- AI Agents
- Automation
- Germany
- MCP
apis: []
common:
- type: DomainSecurity
  url: security/mona-ai-domain-security.yml
- type: Website
  url: https://www.mona-ai.de
- type: Blog
  url: https://www.mona-ai.de/blog
- type: BlogRSS
  url: https://www.mona-ai.de/blog-feed.xml
- type: Pricing
  url: https://www.mona-ai.de/pricing
- type: Support
  url: https://www.mona-ai.de/support
- type: PrivacyPolicy
  url: https://www.mona-ai.de/datenschutz
- type: LegalNotice
  url: https://www.mona-ai.de/impressum
- type: Login
  url: https://agents.monaai.de/login
- type: LinkedIn
  url: https://www.linkedin.com/company/mona-ai-gmbh
- type: LLMsTxt
  url: llms/mona-ai-llms.txt
- type: MCPServer
  url: mcp/mona-ai-mcp.yml
- type: WellKnown
  url: well-known/mona-ai-well-known.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io

Mona Ai API — frequently asked questions

Does Mona Ai have an MCP server?

Yes. APIs.io lists 1 MCP server for Mona Ai: Hosted Model Context Protocol (MCP) server automatically provided by the Wix platform for the mona-ai.de website. It lets AI agents connect directly to read live, current website content and act on be

Is the Mona Ai API ready for AI agents?

Mona Ai has a Kin Score of 11.1 out of 100 (emerging) and an Agent Readiness score of 2.2 (human-only), 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.

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Tools for providers

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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.
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