[ Machine access ]

For AI agents

Machine-readable access to AI Code Reviewers. Prefer HTTP search when you do not need stdio MCP.

Catalog search API

GET https://aicodereviewers.com/api/search?category=general-pr-review&q=rust
GET https://aicodereviewers.com/api/search?integration=GitLab&pricing=freemium&limit=20
GET https://aicodereviewers.com/api/search?limit=100

Params: category, integration, pricing (repeatable, comma-separable), oss (true/false), q, limit (1–100, default 50). Category values are listed in /api/reviewers.json.

Response fields: total (matches before limit), count (results returned this page), limit (applied cap), normalized, results. Prefer total for catalog size under a filter; unfiltered full size is also on the dump below.

Full dump

GET https://aicodereviewers.com/api/reviewers.json

Shape: count, categories, reviewers (full public fields, alphabetical by name), lastUpdated (response date).

llms.txt

/llms.txt (index: categories, shortlists, machine endpoints) and /llms-full.txt (full catalog text, same tool count as the JSON dump).

Human shortlists (alphabetical within category, not ranked): /best.

MCP server

npx -y @aicodereviewers/mcp-server
# tools: search_reviewers, get_reviewer, check_if_listed, list_categories, submit_listing

Source: mcp-server/ in the repo. After npm publish of @aicodereviewers/mcp-server, npx works zero-install. Until then: node mcp-server/dist/index.js from a clone, or use HTTP POST /api/submit below.

Submit a listing

Humans: /submit. Agents (free review queue only):

POST https://aicodereviewers.com/api/submit
Content-Type: application/json

{
  "name": "My Review Tool",
  "url": "https://example.com",
  "brief_summary": "What the tool reviews (20+ chars).",
  "email": "you@example.com",
  "category": "general-pr-review"
}

Free tier queues up to ~90 days for review. MCP tool submit_listing calls the same API.