Recurse

Recurse ML is an AI-powered code review platform built for modern development workflows that lean on AI coding assistants like Cursor, Claude Code, and GitHub Copilot. It understands a whole codebase's context to catch subtle bugs, breaking changes, library/API misuse, and SQL query issues that tests and static analyzers miss, and returns actionable feedback with one-click fixes. Recurse ships as a GitHub App that reviews pull requests, an rml CLI for local and CI/CD review, and ReMCP, a Model Context Protocol server that turns Recurse into a self-healing quality gate AI agents call to fix their own mistakes. It advertises a zero data retention policy and is pursuing SOC 2 compliance.

Recurse is profiled on the APIs.io network. Tagged areas include Company, AI Code Review, Code Review, Developer Tools, and CLI.

Recurse’s developer surface includes engineering blog, documentation, getting-started guide, CLI, support, pricing, signup flow, and 8 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

17.0/100 emerging ▬ flat Agent 0/100 human only Front door AI 5/6 prominent Heartbeat 13/100 dormant saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs 1 MCP Servers

Company AI Code Review Code Review Developer Tools CLI MCP AI Agents Static Analysis Bug Detection Code Quality

Kin Score

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

Composite quality — 17.0/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 7.5 / 17

Access Clarity 3.1 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 0.9 / 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 18.4 — up to +16.3 composite points
Operational Transparency scores 2.6 — up to +12.7 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/recurse/apis.yml: open an issue on github.com/api-evangelist/recurse 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 1

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)

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

MCP Servers 1

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

Recurse MCP Server

ReMCP is Recurse ML's Model Context Protocol server. Installed as a local stdio server (remcp serve), it lets AI coding assistants (Claude Code, Cursor) run Recurse's AI code re...

MCP SERVER

Security Posture 1

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

Recurse Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

Build 3

SDKs, sample code, and the tooling you integrate with

CLI

CLI

Packages

Packages

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

Pricing

Pricing

Company 3

The organization behind the API

Blog

Blog

Website

Website

Blog

Blog

Source (apis.yml)

aid: recurse
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/recurse.png
name: Recurse
description: Recurse ML is an AI-powered code review platform built for modern development workflows that lean on AI coding
  assistants like Cursor, Claude Code, and GitHub Copilot. It understands a whole codebase's context to catch subtle bugs,
  breaking changes, library/API misuse, and SQL query issues that tests and static analyzers miss, and returns actionable
  feedback with one-click fixes. Recurse ships as a GitHub App that reviews pull requests, an rml CLI for local and CI/CD
  review, and ReMCP, a Model Context Protocol server that turns Recurse into a self-healing quality gate AI agents call to
  fix their own mistakes. It advertises a zero data retention policy and is pursuing SOC 2 compliance.
url: https://raw.githubusercontent.com/api-evangelist/recurse/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- seedcamp
x-tier: profiled
x-tier-reason: enriched-from-public-surface
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- AI Code Review
- Code Review
- Developer Tools
- CLI
- MCP
- AI Agents
- Static Analysis
- Bug Detection
- Code Quality
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- url: https://www.recurse.ml/blog
  type: Blog
- type: Website
  url: https://www.recurse.ml/
- type: DeveloperPortal
  url: https://www.recurse.ml/docs
- type: Documentation
  url: https://www.recurse.ml/docs
- type: GettingStarted
  url: https://www.recurse.ml/docs/rml/getting-started/installing-on-macos
- type: CLI
  url: cli/recurse-cli.yml
- type: MCPServer
  url: mcp/recurse-mcp.yml
- type: Packages
  url: packages/recurse-packages.yml
- type: LLMsTxt
  url: llms/recurse-llms.txt
- type: DomainSecurity
  url: security/recurse-domain-security.yml
- type: GitHubOrganization
  url: https://github.com/Recurse-ML
- type: Blog
  url: https://recurse-ml.notion.site
- type: Support
  url: https://discord.gg/qEjHQk64Z9
- type: Pricing
  url: https://www.recurse.ml/#pricing
- type: SignUp
  url: https://github.com/marketplace/recurse-ml
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 5
  pass: local-v1

Recurse API — frequently asked questions

Does Recurse have an MCP server?

Yes. APIs.io lists 1 MCP server for Recurse: ReMCP is Recurse ML's Model Context Protocol server. Installed as a local stdio server (remcp serve), it lets AI coding assistants (Claude Code, Cursor) run Recurse's AI code review on their own chang

Is the Recurse API ready for AI agents?

Recurse has a Kin Score of 17.0 out of 100 (emerging) and an Agent Readiness score of 0.0 (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.

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.

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