"A tool for evaluating Tailwind CSS class quality in HTML" 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.
Build a real 3D website by chatting: pages, models and text in space, published to a live URL.
Conformance checker for MCP servers. Free, no key, verdicts recomputable and re-measured daily.
MCP server for generating rough-draft project plans from natural-language prompts.
Agent intake desk for property renovation. Read only, CORS open, fail closed, receipts recompute.
Generate, validate and read Factur-X / EN 16931 e-invoices (France, EU): PDF/A-3, CII, UBL 2.1.
Receipt checks for expense and bookkeeping agents: normalize receipt text or structured extraction and review arithmetic, confidence and duplicate indicators. Free fixed synthetic example. Caller-supplied analysis: 0.25 USDC on Base via owner-approved x402. No image OCR or automatic bookkeeping.
Deterministic profitability and market-value analysis tools for AI agents — margins, ROA, ROE, ROCE, ROIC, EPS, P/E, P/B, dividend yield and payout ratio via Model Context Protocol. Useful for corporate finance, equity analysis, financial analysis, quantitative analysis, financial formulas and financial modeling.
Deterministic liquidity and leverage ratio tools for AI agents — current, quick and cash ratios, defensive interval, debt-to-equity, debt-to-assets, equity multiplier and interest coverage via Model Context Protocol. Useful for corporate finance, credit analysis, financial analysis, financial formulas and financial modeling.
Reference data for prediction markets: graded resolution clarity, cross-venue links, provenance.
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Go MCP server for GitLab: 2 dynamic tools reach 1000+ REST/GraphQL actions. Free/CE, no paid tier.
FR/EN tools for French rental, frontalier & home-employment (CCN 3239) — sourced, dated answers.
# TrueCalci Precision Compute Engine Deterministic statutory, financial, and engineering computational tools for AI agents, developers, and autonomous workflows over the Model Context Protocol (MCP). ### Capabilities (25 Verified Engines): - **Specialist FinOps:** Remote Contractor vs. W-2 Parity, S-Corp Reasonable Compensation (IRS Rev. Rul. 74-44), Solo 401(k) Shelter, Cross-Border FX Drag, Billable Capacity Floor. - **Global & Cross-Border Tax:** US Form 2555 FEIE Nomad Stacking, B2B Foreign
**Can AI actually read your page?** ChatGPT, Perplexity, Claude and Google's AI Overviews fetch pages very differently from your browser — no JavaScript, tight timeouts, and a robots.txt rulebook of their own. Lekta fetches a URL exactly the way they do and grades what survives, **A+ to F**. This is the technical half of **AEO** (answer engine optimization) and **GEO** (generative engine optimization): before a model can cite you, it has to be able to fetch you, parse you, and find one sentence worth quoting. **The loop this server was built for:** `Audit https://mysite.com/pricing with Lekta, apply the fixes it lists, audit it again, and show me the difference.` Your agent gets a graded verdict, a ranked fix plan with the exact markup to paste, and a diff that proves the change landed. Repeat until A+. **Four layers, 100 points:** **Access** 25 — do the ~17 AI crawler tokens get past robots.txt? **Indexability** 25 — how much content survives without JavaScript? **Answerability** 30 — is there a single quotable sentence an engine can lift? **Recency** 20 — can a model tell when this page was last true? **What this is not:** a rank tracker. Lekta will not tell you how often ChatGPT mentions your brand. It tells you whether your page can be read and quoted when it does — the part you can actually fix. **No black box.** Every finding cites its basis — an RFC, a vendor doc, or a dated measurement we ran. The engine is versioned with a public changelog: a score never moves without a published shift table. **Tools:** `lekta_audit` (fresh fetch) · `lekta_report` (cached read) · `lekta_fix_plan` (ranked, paste-ready) · `lekta_diff` (before/after) · `lekta_my_sites` Listing tools is open. Tool calls need a free key from lekta.dev/en/panel/api — send `Authorization: Bearer lekta_…` or `x-api-key`. Cached reads, fix plans and diffs cost nothing; only fresh fetches count against the daily limit. **Topics:** AEO · GEO · AI SEO · LLM SEO · answer engine optimization · generative engine optimization · AI crawler access (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) · JavaScript-free indexability · structured data · content freshness
Rug pull risk and on-chain forensics for tokens on Solana, Ethereum, Base and Robinhood.
Read-only MCP server for the OrchestKit docs: full-text search + Markdown fetch. No auth.
Deterministic company valuation and corporate finance tools for AI agents — IRR, NPV, MOIC, DCF, WACC, enterprise value, EV multiples, CAPM, beta and sensitivity analysis via Model Context Protocol. Useful for financial analysis, equity analysis, quantitative analysis, financial projections, financial formulas and financial modeling.
Deterministic time-value-of-money and fund-performance tools for AI agents — future value, present value, CAGR, annuities, perpetuities, loan payments, payback, discounted payback, DPI, RVPI and TVPI via Model Context Protocol. Useful for corporate finance, financial projections, financial analysis, quantitative analysis, financial formulas and financial modeling.
Get recommended by Amazon's AI. Hosted MCP server for Amazon listing compliance & generation.
