"How to interact with people on LinkedIn" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
GodPrompt MCP + Agent Skill for coding agents with TDD, debugging, verification, and task routing.
Simulate, test, and analyze cloud architectures without deploying real infrastructure. Cloud World Model enables AI agents to model cloud environments, evaluate architecture behavior and costs, run failure and chaos simulations, and explore infrastructure scenarios across cloud providers.
Check that your AI is being logical. Free tool that mathematically catches contradictions in agent reasoning. No account needed. Also offers paid guardrails that converts natural language to formal verification proofs, that anyone can check succinctly.
Free platform to test MCP clients without installing anything. Create mock tools with dynamic templates, configurable delays, conditions (if/then), and response sequences. Supports JSON-RPC 2.0 over Streamable HTTP. Built-in text_echo and json_echo tools. Rate-limited tiers: anonymous (5 calls/min, 1 mock tool), registered (10 calls/min, 4 mock tools), premium (60 calls/min, unlimited). Zero setup — no install, no registration required. More info: https://www.testmcp.dev
Rule engine with built-in simulation. 55 MCP tools for complete business rule lifecycle management.
Give AI assistants the context behind client website feedback. Read comments, screenshots, replies, element details, and developer briefs; organize priorities, update statuses, and export feedback from authorized projects. Coding agents with repository access can investigate issues and prepare fixes for review. Connect through Streamable HTTP and browser OAuth using a Simple Commenter account.
Verify before your agent acts on data it paid for. Signed verdicts, checkable offline, via x402.
Load testing and synthetic monitoring platform: test with Playwright, Browser Bot, or Protocol Bots.
Kilotest leverages 10 rule engines to test web pages for front-end quality (accessibility, usability, and standards conformity) and report results with specifiable granularity.
What is known to be broken in an MCP server or API operation, with the check that found it.
Observed facts on public MCP servers: protocol checks, tool changes, signed evidence. No verdicts.
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.
A deterministic verification engine for agents. Proves a fix: fails on the old code, passes on new.
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
Test an email before it goes out: a disposable address, 41 checks with RFC citations, a fix plan.
X-Z-CS AI validation with auditable reasoning. 8 active tools; 5 in maintenance. v0.5.63
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.
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.
Probe a signup URL you own and score whether an AI agent can sign up unaided.
MCP-native AI browser testing for coding agents. Submit a URL + goal, get back action trail, bugs, screenshots, and WebM video your agent patches from directly. 43 tools, 12 AI evaluation personalities, combo tiers with auto-pause-on-bugs, throwaway email + SMS inboxes.
