"Information about Gemini code" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
UI Verify is visual regression testing built for coding agents. Connect the MCP server and your agent (Claude Code, Cursor, Codex) pulls a pull request's UI changes into the conversation, views each visual diff, reads the AI judge's verdict of regression vs intended change, and accepts the intended baselines - all over MCP.
Runs your code against a contract; HELD or BROKE at the exact input. Deterministic. 0.10 USDC/call.
Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.
Scan pasted Stripe webhook/checkout code for common integration bugs.
Agentic code review, no signup to try: reality gates + frontier-model review, with veto.
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.
Security + bug + perf + refactor audit for Python. Returns 0-10 score + MD report.
Generate realistic, FK-consistent synthetic test data for your databases from your AI assistant.
Machine-readable taxonomy of 100+ AI system failure modes spanning factuality, alignment, planning, code generation, and instruction following.
MCP server for static security analysis of Android source code
Pre-commit code quality guardian. Detects semantic drift in AI-generated 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
Multi-reviewer AI code review: surfaces findings the reviewers agree on, disputes flagged.
## 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.
Validates AI-generated Python: syntax, lint, security scan and deterministic repair.
Evidence-governed screening of material decisions about physical assets and operational systems.
Generates unit tests for Python code with coverage before/after reports and concrete edge cases.
- zenableOAuthapp.zenable
Zenable cleans up sloppy AI code and prevents vulnerabilities with deterministic guardrails
