"An analysis of financial or statistical charts" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Evidence-gated task verification for AI agents. Decompose goals into acceptance criteria, attach proof (screenshot, curl, file), independent LLM judge accepts or rejects. 24 tools. Hosted remote MCP (streamable-http, OAuth 2.1 + DCR).
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
Tests an AI agent's purchase against the task it was given. Paid per call in USDC via x402.
Ensemble testing of web pages for accessibility, usability, and standards conformity
Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.
A skeptical senior-engineer code reviewer over MCP: risk-scans unified diffs, flags AI-generated-code tells, reports complexity hotspots, scans for leaked secrets, and runs an OWASP security pass — real analyzers, no external APIs. Free tier, no signup.
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.
Verify an agent's advertised route, price, payment details, and schemas against its live endpoint.
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.
Resolve whether an uncertain side-effecting action completed before software retries it.
Runs your code against a contract; returns HELD or BROKE at the exact input. Deterministic.
Machine-readable taxonomy of 100+ AI system failure modes spanning factuality, alignment, planning, code generation, and instruction following.
MCP server for the Fail Modes taxonomy — a knowledge base of AI system failure modes
Check if your MCP server is ready to publish on the MCP Registry, Smithery, or npm.
A flock of AI users tests your deployed app and reports where real people get stuck, with fixes.
Pay-per-call MCP server. Vetted human experts review AI-generated content (text, images, video, audio, social posts), audit reasoning chains, run prepublish safety checks, and gate high-stakes actions for human approval. 7 paid tools at $1.00 each plus 4 free tools (list_offerings, list_expert_profiles, get_result, verify_certificate). Payment via x402, USDC on Base mainnet. Approved outputs receive an on-chain Taste content certificate downstream agents verify before consuming.
End-to-end API testing — generate and run tests from OpenAPI, curl, Postman, or real user traffic.
MCP server for static security analysis of Android source code
