"Enterprise-level Confluence search page supporting version 9.4.11" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
Your Vericto workspace over OAuth: setup status, rules, CI reports, docs search and SQL checks.
15 deterministic AI agent and developer tools for code context pruning, token budgeting, hybrid search reranking, self-healing patches, AST analysis, circular dependency detection, root-cause isolation, schema compilation, math/financial solving, critical-path scheduling, A/B testing, memory diffs, API compatibility checks, boundary test generation, and Monte Carlo risk simulation.
Find what to fix on a public website, for search engines and for AI answers.
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
Canonicalize Tailwind classes to their short form, and search LunarWerx free dev tools.
Search the source code (HTML, JavaScript, CSS) of web pages.
Check PyPI and npm upgrades: known vulnerabilities, the safe version, and what each upgrade breaks.
Drupal core API changes, contrib usage, upgrade checks, patches, code search, SQL, WordPal themes.
Bounded software search, unknown requirements, and the origins of project identifiers.
Search, inspect and inject full source modules (code + AI rules + MCP) pinned to a Git commit.
Design system contracts, docs search, and usage validation for @digitaltableteur components.
Checks AI-written SvGrid code against the real API, plus version-pinned Svelte 5 grid docs.
Code intelligence for LLMs. Analyze, search, and retrieve code from any public git repository.
WASM magic version, bytes discarded
YAML top-level key count, values discarded
The context platform for AI agents: code search, team decisions, and grounded project context.
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
295k+ bug-fix patterns with MCP Hub proxy, PII filtering, and code search
Vulnerability management: scan projects, search sealed packages, manage sealing rules and reports.
Search your team's Storybook components by text or image, so agents reuse what exists.
Behavioral oracle for Rust crate APIs: runtime behavior, yank/advisory, deprecation, sig search
Extract declared website CSS color literals and counts without a browser or page text
Enterprise code intelligence for M&A, security audits, and tech debt. Hosted server with 200k free.
Search indexed code, trace dependencies, assess change impact, and recall repository memory.
Check npm/PyPI packages exist and that a function or method exists in an exact package version.
Software component catalog: search your org's services, docs, APIs, dependencies, and ownership.
Alcheon is an MCP server that gives AI coding agents access to a curated library of 100+ analyzed real-world design systems, letting them recommend reference sites, synthesize design briefs with spacing and color tokens, and generate section-level UI guidance — so AI-built interfaces draw from actual design DNA instead of generic defaults.
