"Resources or information on analysis techniques or methods" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Deterministic pre-flight EVM transaction firewall ($0.10 USDC), $0.03 binary Fast-Ping gate, live Base RPC token honeypot scanner by 0x address, MEV guard & Solidity auditor via x402 v2 USDC on Base Mainnet.
Signed, traced record of what an npm package or file attempts when run, network included. No key.
Find hidden Unicode in text or files: ASCII smuggling decoded, bidi overrides, look-alike letters.
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.
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.
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.
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.
Find what to fix on a public website, for search engines and for AI answers.
FiveM dev tools: find resources, check compatibility, validate Lua and server.cfg, generate jobs
Security reviews, threat models over a repo or website, and remediation tracking, in your editor.
Per-harness pre-open verdict on a received repo's agent-control surface.
**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, 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).
DBRE-grade SQL analysis inside any MCP client. No connection. No install. Paste a query.
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.
Checks AI-written code for leaked keys and made-up packages, on your machine. Never uploads code.
SQL validation, formatting, parsing, metadata extraction, linting, and security analysis.
Packagephobia MCP — install-size analysis for npm packages
Pre-flight verdict on MCP servers: known-bad identity, CVEs, dependency tree, tool drift. Signed.
Scan AI agent skills, MCP server packages and MCP configs before you install them. Static analysis.
Bundlephobia MCP — npm bundle-size analysis
MCP server for StyleKit styles, tokens, recipes, lint and repair over stdio or HTTP.
Evidence-oriented REA + Ghidra static-analysis workflows, read-only PE32 and Delphi VMT tools.
Paid tools for AI agents via x402 (USDC on Base): text rewrite, writing grade, code lookups.
Check if a dependency's license obligates you, based on how you ship. npm, PyPI, Go.
Pure, bounded analysis of an explicit bill-of-materials graph: validates structure, finds missing...
Runs your code against a contract; HELD or BROKE at the exact input. Deterministic. 0.10 USDC/call.
MCP server for static security analysis of Android source code
The OpenZeppelin Cairo Contracts MCP server generates secure smart contracts in the Cairo language for Starknet environments based on OpenZeppelin templates. It brings OpenZeppelin's proven security and style rules directly into AI-driven development workflows to create safe, production-ready contracts. Key capabilities include providing templates for ERC-20, ERC-721, ERC-1155, Multisig, Governor, and Vesting contracts.
Cloud renderer: TIA Portal SimaticML (FC/FB/OB, LAD or SCL) into PNG ladder diagrams over MCP.
What changed in the packages, APIs and services your code depends on, and the fixes it needs.
Solidity vulnerability scan (Slither) for AI agents. Free preview; full report 1 USDC on Solana x402
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
Detect malicious or vulnerable npm packages: registry search, OSV.dev and GitHub advisory lookups
## Skill Catalog The library contains 42 public skills organized by Rails development concern. | Category | Examples | |----------|----------| | Planning | `create-prd`, `generate-tasks`, `plan-tickets` | | Testing | `plan-tests`, `write-tests`, `test-service`, `triage-bug` | | Code quality | `code-review`, `respond-to-review`, `security-check`, `refactor-code` | | Architecture and DDD | `define-domain-language`, `review-domain-boundaries`, `model-domain`, `review-architecture` | | Rails imple
