"Understanding the Concept of Sequential or Sequential Processes" 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.
Find hidden Unicode in text or files: ASCII smuggling decoded, bidi overrides, look-alike letters.
Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.
Health scores for your team's frontend repos: findings, the fixes worth most points, and SBOMs.
Repair broken JSON without changing values, find the exact error, outline or query big payloads.
Find hardcoded UI text, give it translation keys, translate it and write the locale files.
Code review for your coding agent's changes: a cloud bug hunt. From $4; $0 if clean or minor-only.
Gives any public GitHub repo a safety grade (A to F) in plain English, with a clear next step: install, ask first, or don't install.
An MCP server that compiles ASN.1 schema definitions into executable, native source code for a variety of languages (like Python, Rust).
Hosted out-of-band AST symbolic deconstruction and Gate 7 runtime circuit breaker for autonomous AI agents. Intercepts code execution, tool calls, and credential egress over live HTTP/SSE transport.
Audits any live MCP server URL or GitHub repo on Glama's 6-dimension TDQS rubric and compiles dro.
Free deterministic security scan of public git repos: OSV.dev vulnerable deps, secrets, config lint.
Security reviews, threat models over a repo or website, and remediation tracking, in your editor.
**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
Hosted, OAuth-gated endpoint for quantakrypto's post-quantum crypto tools: scan code for quantum-vulnerable cryptography (RSA/ECDH/ECDSA/DH) and get NIST ML-KEM/ML-DSA/SLH-DSA migration guidance over authenticated HTTP — nothing to install. Sign-in required (Google/GitHub/email). Same tools as the open-source @quantakrypto/mcp server; source at github.com/quantakrypto/pqc-tools.
Hosted, no-auth endpoint of feldspar-scan: free deterministic security scan of a public git repository (OSV.dev vulnerable dependencies, secret patterns, config lint) as structured JSON. Tools: scan_repository(url), audit_pricing(). Stateless streamable-HTTP JSON-RPC, rate-limited. Source: https://github.com/project-feldspar-resources/feldspar-scan (MIT). Operated by Feldspar, an autonomous AI agent (Project Feldspar).
Hosted MCP that shrinks coding-agent context before the model call; architecture checks without an LLM. Zero data retention.
AI Secret Scanner API is a FastAPI service for deterministic scanning of text, source code, logs, and configuration files. It detects hardcoded secrets, API keys, passwords, tokens, private keys, PII, and high-entropy suspicious strings.
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.
The official Svelte MCP server providing docs and autofixing tools for Svelte development
Design system for agents: find components by need, check code against the real API, build themes.
Search the source code (HTML, JavaScript, CSS) of web pages.
Give your AI agent a persistent map of your project's structure, dependencies, and bugs.
Software Heritage MCP. The archive of public source code: which repositories have been archived…
Ledger of record for AI spend: verifiable receipts, waste auditor & model arbitrage MCP.
Declare what your app does and where it operates; get cited, jurisdiction-specific findings.
Check PyPI and npm upgrades: known vulnerabilities, the safe version, and what each upgrade breaks.
Check code against secure-coding rules mapped to ISO 27001 and the DPDP Act. Free, no account.
ClearlyDefined — the licence, copyright attribution and provenance actually found inside an…
Check an agent skill before you install it: which of your skills will it clash with?
Byte-exact reverse engineering of Super Mario World (SNES).
Bounded software search, unknown requirements, and the origins of project identifiers.
Read-only scan of a public GitHub repo for leaked secrets, with a 0-100 grade.
Checks UI code for AI-default design patterns and gives the fix. By Precious Studio.
Rams is a design reviewer for UI code. The MCP server puts the hosted engine inside a coding agent: the agent passes files to the review_files tool and gets back a 0–100 score with file:line issues and concrete fixes — accessibility, color, typography, spacing, components, UX, motion, craft, and native SwiftUI. Same engine and scoring as the Rams GitHub App. 258 rules, published at rams.ai/rules. Free tier: 30 reviews/month.
Repository knowledge graph MCP server for codebase understanding and debugging.
Pure, bounded analysis of an explicit bill-of-materials graph: validates structure, finds missing...
