MeetAndy AI website screenshot

MeetAndy AI

MeetAndy (operated by MeetTomorrow Inc.) is an AI project assistant — an "AI teammate" that lives in Slack, Google Chat, GitHub, GitLab, and Jira and turns plain-language requests into reviewable plans, opens pull requests, runs CI, and reports back. Its Coding Agent writes the code Andy plans and hands off work to human review, while Team Memory preserves architectural decisions and conventions as searchable context. MeetAndy exposes an agent-native surface rather than a public REST API: a hosted MCP server (hub.meetandy.ai) for external tools like Claude Code to read tasks and Spaces, a published llms.txt, and public Claude Code Agent Skills. Founded 2024; backed by 500 Global and NVIDIA Inception.

MeetAndy AI is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Agents, Developer Tools, and DevOps.

MeetAndy AI’s developer surface includes pricing, documentation, getting-started guide, signup flow, changelog, and 9 more developer resources.

27.8/100 thin ▬ flat Agent 12/100 agent aware Front door AI 4/6 moderate Heartbeat 92/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →
AccessPaid
0 APIs 1 MCP Servers 1 Agent Skills
CompanyArtificial IntelligenceAgentsDeveloper ToolsDevOpsSoftware DeliveryMCPCoding AgentsSlackProject Management

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0
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/.
Show this score on your site. Kin Score badge preview for MeetAndy AI It updates itself when the score changes. Paste this where you link to your API docs:
<a href="https://apis.io/providers/meetandy-ai/"><img src="https://apis.io/badge/meetandy-ai/card.svg" alt="MeetAndy AI on APIs.io — Kin Score by API Evangelist"></a>
Other styles, a README pill and a shields.io endpoint are on the badge page.
Raise your score.
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
11 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
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/meetandy-ai/apis.yml: open an issue on github.com/api-evangelist/meetandy-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 →

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.

MarketPositionDepthRegistered MCP serverDeclares compatibility
Agent Skills (SKILL.md packages) builds-on 17.2 (thin) - 2
Atlassian Marketplace (builders on Jira, Confluence, Bitbucket) builds-on 17.2 (thin) - 2

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.

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.

measured — observed by APIs.io (verified)
measured — observed by APIs.io (published)

MCP Servers 1

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

MeetAndy MCP server

Remote MCP server at hub.meetandy.ai over HTTP; 3 tools listed.

MCP SERVER

Agent Skills 1

Packaged agent skills for driving this provider's APIs from an AI assistant.

address-pr-review

AGENT SKILL

MeetAndy AI API pricing

Prices published by MeetAndy AI, read 2026-10-07 from meetandy.ai/pricing.

PlanPrice
Startup USD $100/ month platform fee
Includes: Unlimited people, All integrations
Team USD $500/ month platform fee
Includes: Unlimited people, All integrations, 100 tasks included
Enterprise Custom
Includes: Unlimited people, Custom task volume and rate, Priority support, SSO

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Security Posture 1

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

Meetandy Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 4

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: meetandy-ai
name: MeetAndy AI
description: 'MeetAndy (operated by MeetTomorrow Inc.) is an AI project assistant — an "AI teammate" that lives in Slack,
  Google Chat, GitHub, GitLab, and Jira and turns plain-language requests into reviewable plans, opens pull requests, runs
  CI, and reports back. Its Coding Agent writes the code Andy plans and hands off work to human review, while Team Memory
  preserves architectural decisions and conventions as searchable context. MeetAndy exposes an agent-native surface rather
  than a public REST API: a hosted MCP server (hub.meetandy.ai) for external tools like Claude Code to read tasks and Spaces,
  a published llms.txt, and public Claude Code Agent Skills. Founded 2024; backed by 500 Global and NVIDIA Inception.'
url: https://raw.githubusercontent.com/api-evangelist/meetandy-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
- nvidia-inception
x-tier: stub
x-tier-reason: portfolio-lead
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: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
image: https://meetandy.ai/images/og-image.jpg
tags:
- Company
- Artificial Intelligence
- Agents
- Developer Tools
- DevOps
- Software Delivery
- MCP
- Coding Agents
- Slack
- Project Management
tags_raw:
- Company
- AI
- Agents
- Developer Tools
- DevOps
- Software Delivery
- MCP
- Coding Agent
- Slack
- Project Management
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
- FN: MeetAndy Engineering
  email: dev@meetandy.ai
common:
- type: Pricing
  url: https://meetandy.ai/pricing
- type: Plans
  url: plans/meetandy-ai-plans-pricing.yml
- type: Website
  url: https://meetandy.ai
- type: Documentation
  url: https://docs.meetandy.ai/en/docs
- type: GettingStarted
  url: https://docs.meetandy.ai/en/docs/getting-started
- type: GitHubOrganization
  url: https://github.com/meettomorrow
- type: SignUp
  url: https://meetandy.ai/design-partners
- type: TermsOfService
  url: https://meetandy.ai/terms
- type: PrivacyPolicy
  url: https://meetandy.ai/privacy
- type: MCPServer
  name: MeetAndy MCP server
  url: mcp/meetandy-ai-mcp.yml
- type: AgentSkill
  name: MeetAndy Claude Code skills
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/meetandy-ai-llms.txt
- type: ChangeLog
  name: MeetAndy release notes
  url: changelog/meetandy-ai-changelog.yml
- type: DomainSecurity
  url: security/meetandy-ai-domain-security.yml
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 5
  pass: local-v1

MeetAndy AI API — frequently asked questions

How much does the MeetAndy AI API cost?

MeetAndy AI publishes its prices; its Startup plan is USD $100/ month platform fee as of 2026-10-07. APIs.io lists 3 pricing plans for MeetAndy AI, with each plan's price, limits and inclusions under Pricing on this page.

Does MeetAndy AI have an MCP server?

Yes. APIs.io lists 1 MCP server for MeetAndy AI: Remote MCP server at hub.meetandy.ai over HTTP; 3 tools listed.

Is the MeetAndy AI API ready for AI agents?

MeetAndy AI has a Kin Score of 27.8 out of 100 (thin) and an Agent Readiness score of 12.2 (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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