"Information about Meta ads or advertising on Meta platforms" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Verify before your agent acts on data it paid for. Signed verdicts, checkable offline, via x402.
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
Point Claude Code, Qwen Code, Cursor, or any MCP client at https://docs.jmeter.ai/api/mcp and your agent answers JMeter questions grounded in this documentation, with a source link for every answer. Free, no API key, no signup.
A fully free linter for agent skill files: lint_skill validates YAML frontmatter, structure, size budgets, and safety phrasing with a pass/fail verdict; packaging_check validates zip layout against marketplace rules; plus regex_test, json_validate, diff_texts, and cron_explain for skill authors. No license or account required.
Scan any website or MCP server for agent readiness: 0-100 score, a fix per failing check. Free.
AgentReady.market audit: can an AI shopping agent find, understand and BUY on this store? /100.
Runs your code against a contract; returns HELD or BROKE at the exact input. Deterministic.
Check if your MCP server is ready to publish on the MCP Registry, Smithery, or npm.
The world's first named AI prompt quality score. Score, optimize, and compare LLM prompts before they hit any model. Free tier available. Built on PEEM, RAGAS, G-Eval, and MT-Bench frameworks. x402-native on Base.
Evaluates UI designs for WCAG accessibility issues automated scanners miss. Paid via x402 on Base.
End-to-end API testing — generate and run tests from OpenAPI, curl, Postman, or real user traffic.
Estimated game fps for any GPU or Apple Silicon chip, with the limiter and tweaks.
Your agent tests pages, copy, and flows on simulated users while you build.
Fresh PyPI install/import evidence on Linux x86_64 / CPython 3.13.
Fresh scoped PyPI install and import verification on Linux x86_64 and CPython 3.13.
MCP server for e-mail testing: create disposable inboxes, wait for delivery, and extract e-mail content or links - all from your AI agent or test automation workflow. Get a free API key on https://app.zyntra.app/
## Skill Catalog The library contains 42 public skills organized by Rails development concern. | Category | Examples | |----------|----------| | Planning | `create-prd`, `generate-tasks`, `plan-tickets` | | Testing | `plan-tests`, `write-tests`, `test-service`, `triage-bug` | | Code quality | `code-review`, `respond-to-review`, `security-check`, `refactor-code` | | Architecture and DDD | `define-domain-language`, `review-domain-boundaries`, `model-domain`, `review-architecture` | | Rails imple
Validates AI infra code on real VMs. Self-corrects until it works. No containers, no sandboxes.
AI QA that runs your app in a browser on every pull request: projects, test targets, test cases.
Disposable test mailboxes on a real domain: send, receive and assert on real email.
