Mech-Mind Robotics

Mech-Mind Robotics provides industrial 3D cameras (the Mech-Eye industrial 3D camera and laser profiler line) together with software suites — Mech-Vision machine-vision software, Mech-Viz robot-programming software, and the Mech-DLK deep-learning toolkit — that give industrial robots embodied AI and 3D vision. Typical applications include bin picking, depalletizing, machine tending, piece picking, and item picking; the company reports 3000+ deployed applications for 1000+ clients worldwide. The developer surface is the Mech-Eye SDK (a C++ core with Python and C# bindings), ROS and ROS2 interfaces, and the Mech-DLK SDK, all published under the MechMindRobotics GitHub organization; there is no public REST/HTTP API.

Mech-Mind Robotics is profiled on the APIs.io network. Tagged areas include Company, Robotics, 3D Vision, Computer Vision, and Machine Vision.

Mech-Mind Robotics’ developer surface includes documentation, getting-started guide, engineering blog, support, changelog, and 8 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

15.5/100 emerging ▬ flat Agent 0/100 human only Front door AI 6/6 dominant Heartbeat 36/100 alive library Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs

Company Robotics 3D Vision Computer Vision Machine Vision Industrial Automation Embodied AIBin PickingSDK

Kin Score

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

Composite quality — 15.5/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 7.7 / 17

Access Clarity 0.0 / 17

Operational Transparency 2.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 0.8 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 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 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
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
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

13 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 0.0 — up to +20.0 composite points
Contract Governance scores 0.0 — up to +12.0 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/mech-mind/apis.yml: open an issue on github.com/api-evangelist/mech-mind 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
ONVIF Video Analytics (video surveillance, edge cameras, computer vision)	undeclared	-	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Security Posture 1

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

Mech Mind Domain Security

DNSSEC · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Download

Download

Source (apis.yml)

aid: mech-mind
name: Mech-Mind Robotics
description: Mech-Mind Robotics provides industrial 3D cameras (the Mech-Eye industrial 3D camera and laser profiler line)
  together with software suites — Mech-Vision machine-vision software, Mech-Viz robot-programming software, and the Mech-DLK
  deep-learning toolkit — that give industrial robots embodied AI and 3D vision. Typical applications include bin picking,
  depalletizing, machine tending, piece picking, and item picking; the company reports 3000+ deployed applications for 1000+
  clients worldwide. The developer surface is the Mech-Eye SDK (a C++ core with Python and C# bindings), ROS and ROS2 interfaces,
  and the Mech-DLK SDK, all published under the MechMindRobotics GitHub organization; there is no public REST/HTTP API.
url: https://raw.githubusercontent.com/api-evangelist/mech-mind/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- qiming
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: library
  open_source: false
  commercial: false
  callable_host: false
  label: Library · distributed through package registries, no callable service
  confidence: low
  source:
  - none
  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
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
image: https://www.mech-mind.com/Images/logo.png
tags:
- Company
- Robotics
- 3D Vision
- Computer Vision
- Machine Vision
- Industrial Automation
- Embodied AI
- Bin Picking
- SDK
tags_raw:
- Company
- Robotics
- 3D Vision
- Computer Vision
- Machine Vision
- Industrial Automation
- Embodied AI
- Bin Picking
- SDK
- Computer-Vision
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.mech-mind.com
- type: DeveloperPortal
  url: https://docs.mech-mind.net/en/home/latest/index.html
- type: Documentation
  url: https://docs.mech-mind.net/en/home/latest/index.html
- type: GettingStarted
  url: https://docs.mech-mind.net/en/eye-3d-camera/latest/getting-started/index.html
- type: GitHubOrganization
  url: https://github.com/MechMindRobotics
- type: Blog
  url: https://www.mech-mind.com/blog.html
- type: Support
  url: https://community.mech-mind.com/
- type: ChangeLog
  url: https://docs.mech-mind.net/en/eye-3d-camera/latest/getting-started/release-notes.html
- type: Download
  url: https://downloads.mech-mind.com/?tab=tab-sdk
- type: Packages
  url: packages/mech-mind-packages.yml
- type: SDKs
  url: packages/mech-mind-packages.yml
- type: LLMsTxt
  url: llms/mech-mind-llms.txt
- type: DomainSecurity
  url: security/mech-mind-domain-security.yml
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 3
  pass: local-v1

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