"Pine Script v6 Python integration or comparison" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Signed, traced record of what an npm package or file attempts when run, network included. No key.
Coding agents in multi-service codebases routinely rebuild existing helpers, trust stale type definitions, and modify API contracts without knowing who consumes them. Carrick solves this by indexing your entire TypeScript ecosystem across service and repository boundaries. By integrating deeply with the TypeScript compiler, Carrick traces every route, type, and cross-service call while recording function behaviour so agents search by intent rather than name. Delivered via MCP for AI agents and LSP for IDEs, Carrick ensures models see existing endpoints and utilities before generating new code. The scanner is source-available and runs from your CLI or CI pipeline.
Repair broken JSON without changing values, find the exact error, outline or query big payloads.
An MCP server that compiles ASN.1 schema definitions into executable, native source code for a variety of languages (like Python, Rust).
Compiles ASN.1 schema definitions into executable source code like Python and Rust.
Audits any live MCP server URL or GitHub repo on Glama's 6-dimension TDQS rubric and compiles dro.
Security reviews, threat models over a repo or website, and remediation tracking, in your editor.
Patent prior-art search, claim comparison, and codebase scans for patentable tech (patent_scan).
**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
Pine Script backtest-trap checks, backtest reconciliation and official Korean finance data.
Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.
Stateless TypeScript and JavaScript code intelligence for AI agents. Find semantic symbol references, resolve imports and importers, inspect callers and callees, and analyze change impact with compiler-backed evidence. No repository indexing or OAuth required.
Stateless TS/JS compiler facts for agents: references, imports, impact. No repo index or OAuth.
MCP server for StyleKit styles, tokens, recipes, lint and repair over stdio or HTTP.
MCP server for secureFlows: token-free URL builders and integration-linting tools for AI agents.
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
Scan pasted Stripe webhook/checkout code for common integration bugs.
Runs your code against a contract; HELD or BROKE at the exact input. Deterministic. 0.10 USDC/call.
Format/lint JS, Python, HubL for automation platforms. Tools: format_code, format_json, ask_codefmt
OSS libs in your stack, really used: source, tests, callers. C#, Java, TS, Python, Rust, PHP+.
Python identifier charset, value discarded
Python string escape count, input discarded
Real-time Python package and vulnerability data for AI coding agents.
HTML script tag count, markup discarded
HTML script tag count, markup discarded
Python egg-info key count, body discarded
Generate wiki docs from source code. Supports PowerShell, Python, Go, C#, Java, COBOL.
Validates AI-generated Python: syntax, lint, security scan and deterministic repair.
Launch check for AI-built apps: SAFE or DO NOT SHIP verdict, with evidence and paste-back fixes.
Detect malicious or vulnerable npm packages: registry search, OSV.dev and GitHub advisory lookups
