"Pine Script v6 Python integration or comparison" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
**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
MCP server for secureFlows: token-free URL builders and integration-linting tools for AI agents.
Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.
Format/lint JS, Python, HubL for automation platforms. Tools: format_code, format_json, ask_codefmt
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.
Security + bug + perf + refactor audit for Python. Returns 0-10 score + MD report.
Detect malicious or vulnerable npm packages: registry search, OSV.dev and GitHub advisory lookups
Detect malicious or vulnerable npm packages: registry search, OSV.dev and GitHub advisory lookups
Repository evidence for agents before they adopt dependencies, enter codebases, compare, or merge.
Runs your code against a contract; returns HELD or BROKE at the exact input. Deterministic.
OSS libs in your stack, really used: source, tests, callers. C#, Java, TS, Python, Rust, PHP+.
MCP server providing Pine Script v6 documentation. Enables AI to: Look up Pine Script functions and validate syntax Access official documentation for indicators, strategies, and visuals Understand Pine Script concepts (execution model, repainting, etc.) Generate correct v6 code with proper function references
Real-time Python package and vulnerability data for AI coding agents.
Generate wiki docs from source code. Supports PowerShell, Python, Go, C#, Java, COBOL.
GitHub project health, package dependency risk, trending repos, license & package comparison.
Live PR/MR code reviews via review_url_code. OAuth or portal Bearer auth.
Validates AI-generated Python: syntax, lint, security scan and deterministic repair.
Audits MCP tool definitions for patterns that make models call tools wrong or mis-fill args.
Evidence-backed architecture-quality analysis for Python agent applications.
Generates unit tests for Python code with coverage before/after reports and concrete edge cases.
