Council AI

Council AI (council-ai.app) is a multi-model AI workspace that sends a question, plan, contract, deck or code diff to 21 frontier models from OpenAI, Anthropic, Google, xAI, Mistral, DeepSeek, Alibaba, Moonshot and Z.ai in parallel, then has a moderator synthesize one verdict with a consensus score and the dissenting views listed. It offers a personal RAG document library on its Ultra tier and a hosted Model Context Protocol server at https://mcp.council-ai.app/mcp exposing nine tools (council_query, council_review, council_query_with_rag, library and usage tools) to Claude, Cursor, Windsurf and ChatGPT, authenticated with OAuth 2.1 or a per-user Personal Access Token.

Council AI is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, LLM, Multi-Model, and MCP.

Council AI’s developer surface includes authentication, documentation, engineering blog, pricing, support, signup flow, and 16 more developer resources.

27.5/100 thin Agent 26/100 agent aware Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →
AccessFreemiumSelf serveFree trial⚡ Free to try
1 API 1 MCP Servers
CompanyArtificial IntelligenceLLMMulti-ModelMCPRAGCode ReviewConsensus

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0
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 Council AI It updates itself when the score changes. Paste this where you link to your API docs:
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Raise your score.
Agent readiness — checks not met, largest first (exact, from this profile):
6 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.
Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →
Ask about:
Council Ai App · a person reads this and replies by email.
or email info@apis.io
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/council-ai-app/apis.yml: open an issue on github.com/api-evangelist/council-ai-app 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 3

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

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Council AI MCP Server

Hosted Model Context Protocol server (Streamable-HTTP) that lets Ultra-tier users invoke the Council AI multi-model council from Claude Desktop, Claude Code, Cursor, Windsurf an...

MCP Servers 1

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

Council AI MCP Server

Official hosted Streamable-HTTP MCP server for Council AI (Ultra tier). Exposes the multi-model council, code review, RAG library and usage tools to Claude Desktop, Claude Code,...

MCP SERVER

Council AI API pricing

Prices published by Council AI.

PlanPrice
Free trial Every new account gets 3 councils free
Plus $19.99/mo
Pro $39.99/mo
Ultra $99.99/mo
Teams and custom plans write to teams@council-ai.app and we'll come back with a quote

Plan details, limits and sources →

Rate limits

Rate-limit details →

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Council AI Rate Limits

3 limits

RATE LIMITS

JSON Schema 20

Standalone JSON Schema definitions for this provider's data models.

Council Ai App Council Models Input

0 properties

JSON SCHEMA

Council Ai App Council Models Output

2 properties

JSON SCHEMA

Council Ai App Council Query Input

6 properties

JSON SCHEMA

Council Ai App Council Query Output

17 properties

JSON SCHEMA

Council Ai App Council Result Input

1 properties

JSON SCHEMA

Council Ai App Council Result Output

16 properties

JSON SCHEMA

Council Ai App Council Review Input

5 properties

JSON SCHEMA

Council Ai App Council Review Output

8 properties

JSON SCHEMA

Council Ai App Council Usage Input

0 properties

JSON SCHEMA

Council Ai App Council Usage Output

3 properties

JSON SCHEMA

Council Ai App Library Delete Input

1 properties

JSON SCHEMA

Council Ai App Library Delete Output

2 properties

JSON SCHEMA

Council Ai App Library List Input

0 properties

JSON SCHEMA

Council Ai App Library List Output

1 properties

JSON SCHEMA

Council Ai App Library Search Input

3 properties

JSON SCHEMA

Council Ai App Library Search Output

1 properties

JSON SCHEMA

Council Ai App Library Upload Input

5 properties

JSON SCHEMA

Council Ai App Library Upload Output

1 properties

JSON SCHEMA

Scroll for all 20

Examples 1

Example request and response payloads for these APIs.

Council AI Mcp Tools List

3 fields

EXAMPLE

Security Posture 2

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

Council AI Authentication

2 schemes

SECURITY

Council AI Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Other 5

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: council-ai-app
name: Council AI
description: Council AI (council-ai.app) is a multi-model AI workspace that sends a question, plan, contract, deck or code
  diff to 21 frontier models from OpenAI, Anthropic, Google, xAI, Mistral, DeepSeek, Alibaba, Moonshot and Z.ai in parallel,
  then has a moderator synthesize one verdict with a consensus score and the dissenting views listed. It offers a personal
  RAG document library on its Ultra tier and a hosted Model Context Protocol server at https://mcp.council-ai.app/mcp exposing
  nine tools (council_query, council_review, council_query_with_rag, library and usage tools) to Claude, Cursor, Windsurf
  and ChatGPT, authenticated with OAuth 2.1 or a per-user Personal Access Token.
url: https://artifacts.apis.io/council-ai-app/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-04 (modular-v1; was harvest)
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: true
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium (free trial) · Self-serve signup
  confidence: high
  probe_state: covered
  source:
  - plans
  - authentication
  - rate-limits
  - security
  generated: '2026-11-13'
  method: derived
specificationVersion: '0.20'
created: '2026-11-04'
modified: '2026-11-04'
tags:
- Company
- Artificial Intelligence
- LLM
- Multi-Model
- MCP
- RAG
- Code Review
- Consensus
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
image: https://council-ai.app/og/home.jpg?v=1793739508
common:
- type: RateLimits
  url: rate-limits/council-ai-app-rate-limits.yml
- type: Plans
  url: plans/council-ai-app-plans-pricing.yml
- type: Conventions
  url: conventions/council-ai-app-conventions.yml
- type: Authentication
  url: authentication/council-ai-app-authentication.yml
- type: LLMsTxt
  url: llms/council-ai-app-llms.txt
- type: MCPServer
  url: mcp/council-ai-app-mcp.yml
- type: WellKnown
  url: well-known/council-ai-app-well-known.yml
- type: Hosts
  url: hosts/council-ai-app-hosts.yml
- type: IntegrationEdges
  url: integrations/council-ai-app-integration-edges.yml
- type: Vendors
  url: vendors/council-ai-app-vendors.yml
- type: DomainSecurity
  url: security/council-ai-app-domain-security.yml
- type: Website
  url: https://council-ai.app/
- type: Documentation
  url: https://council-ai.app/mcp
  title: Council AI MCP Server
- type: LLMsTxt
  url: https://council-ai.app/llms.txt
- type: Blog
  url: https://council-ai.app/blog
- type: Pricing
  url: https://council-ai.app/pricing
- type: Support
  url: https://council-ai.app/support
- type: SignUp
  url: https://council-ai.app/auth/sign-up
- type: Email
  url: mailto:support@council-ai.app
- type: X
  url: https://x.com/councilaiapp
- type: Instagram
  url: https://www.instagram.com/councilaiapp
- type: TikTok
  url: https://www.tiktok.com/@councilaiapp
apis:
- aid: council-ai-app:council-ai-mcp-server
  name: Council AI MCP Server
  description: Hosted Model Context Protocol server (Streamable-HTTP) that lets Ultra-tier users invoke the Council AI multi-model
    council from Claude Desktop, Claude Code, Cursor, Windsurf and other MCP clients. A tools/list call on 2026-11-04 returned
    ten tools (council_query, council_result, council_query_with_rag, council_review, library_search, library_list, library_upload,
    library_delete, council_models, council_usage); calls are authorized with a Personal Access Token (Bearer csa_...) minted
    in Council Settings, or OAuth (authorization server https://mcp.council-ai.app, scope mcp).
  humanURL: https://council-ai.app/mcp
  baseURL: https://mcp.council-ai.app/mcp
  tags:
  - MCP
  - Multi-Model
  - RAG
  - Code Review
  properties:
  - type: Documentation
    url: https://council-ai.app/mcp
  - type: Documentation
    url: https://council-ai.app/claude
    title: Claude Council MCP install page
  - type: JSONSchema
    url: json-schema/council-ai-app-council-query-input-schema.json
    title: council_query input schema (from tools/list, verbatim; 19 sibling tool schemas in json-schema/)
  - type: Examples
    url: examples/council-ai-app-mcp-tools-list.json
    title: MCP tools/list response (2026-11-04)
x-coverage:
  state: covered
  reason: identity-verified
  detail: Name, description and pointers read from council-ai.app (og:site_name "Council AI", footer "(c) 2026 Council AI"),
    its /mcp page and llms.txt. /privacy and /terms return the same 65,387-byte SPA catch-all shell as a nonexistent path
    (rendered 230-239 chars, no legal text), so no TermsOfService/PrivacyPolicy pointer was recorded. No GitHub org (preflight
    dropped github.com/omarkeshk as unrelated), no status page, no Postman found.
  evidence:
  - url: https://council-ai.app/
    status: 200
  - url: https://council-ai.app/mcp
    status: 200
  - url: https://council-ai.app/llms.txt
    status: 200
  - url: https://council-ai.app/blog
    status: 200
  - url: https://council-ai.app/pricing
    status: 200
  - url: https://council-ai.app/support
    status: 200
  - url: https://council-ai.app/auth/sign-up
    status: 200
  - url: https://council-ai.app/og/home.jpg?v=1793739508
    status: 200
x-enrichment:
  date: '2026-11-04'
  status: enriched
  artifacts_added: 41
  pass: modular-v1
  engine: identity=anthropic,contract=anthropic,surfaces=anthropic,docs=anthropic,regulatory=anthropic

Council AI API — frequently asked questions

Does Council AI have an API?

Yes. APIs.io lists 1 API from Council AI, including Council AI MCP Server.

How do I authenticate with the Council AI API?

Council AI documents its authentication (2 schemes). The details are profiled on APIs.io as Council AI Authentication.

How much does the Council AI API cost?

Council AI publishes its prices; its Free trial plan is Every new account gets 3 councils free as of 2026-11-04. APIs.io lists 5 pricing plans for Council AI, with each plan's price, limits and inclusions under Pricing on this page.

Does Council AI have an MCP server?

Yes. APIs.io lists 1 MCP server for Council AI: Official hosted Streamable-HTTP MCP server for Council AI (Ultra tier). Exposes the multi-model council, code review, RAG library and usage tools to Claude Desktop, Claude Code, Claude.ai Connectors,

Is the Council AI API ready for AI agents?

Council AI has a Kin Score of 27.5 out of 100 (thin) and an Agent Readiness score of 25.9 (agent-aware), scored by API Evangelist on 2026-11-13.

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