"How to access Visual Studio Code" matching MCP connectors:
Matching Connector Tools:
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
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.
Check if your MCP server is ready to publish on the MCP Registry, Smithery, or npm.
Grade MCP servers A to F with the open behavioral litmus. npm: full toolset; hosted: lookups only.
Generate realistic, FK-consistent synthetic test data for your databases from your AI assistant.
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.
DummyJSON mock REST: products, users, posts, recipes, todos. Keyless test data.
Pre-commit code quality guardian. Detects semantic drift in AI-generated code.
Validate up to 75,000 URLs per job (status, redirects, response times). OAuth 2.1.
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.
MCP server for static security analysis of Android source code
MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.
295k+ bug-fix patterns with MCP Hub proxy, PII filtering, and code search
MCP server for AI access to SmartBear tools, including BugSnag, Reflect, Swagger, PactFlow, QTM4J.
Translation QA: automated checks, AI evaluation, linguistic review, and visual in-context testing.
Deploy AI user personas to validate user journeys at scale. Find UX friction before real users do.