"AI Thought Processes and Code-Related Topics" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Guardian agent for AI coding: four frontier models review risky diffs and commits before they ship.
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.
HefestoAI checks AI-generated code before you ship it.
Zero-auth Notary & AST: RM(1,3), RFC 6962, W3C VC 2.0, ROS 2, 3-Level Mind & A2A-MCP Bridge.
Lint a SKILL.md for frontmatter, structure, secrets and size. All 6 tools free.
Zero-auth Notary & AST: RM(1,3), RFC 6962, W3C VC 2.0, ROS 2, 3-Level Mind & A2A-MCP Bridge.
Verify AI-generated code before you commit: independent reviewers check it. PR review too.
Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.
Enables AI coding tools to load design guidelines, tokens, components, templates, and migration mappings before writing UI, then validates generated snippets locally and returns fixes so the tools can correct themselves before the code is shown.
Health scores for your team's frontend repos: findings, the fixes worth most points, and SBOMs.
Code security scanner for founders and small teams: leaked secrets, missing RLS, injection, CVEs
Find hardcoded UI text, give it translation keys, translate it and write the locale files.
Live npm and UNPKG data for AI agents: package resolution, project audits, import maps, and malware/CVE checks. Optional Shield sign-in for domain data.
ASN.1 tools. Validate, compile ASN.1 schema, encode and decode ASN.1 data.
30+ deterministic dev and delivery tools: linting, metrics, diagrams, model advice, AI-text checks.
Your Vericto workspace over OAuth: setup status, rules, CI reports, docs search and SQL checks.
Database schema inference, dialect normalization, query plan optimization, and SQL audit over streamable HTTP.
Hosted MCP server: which CVEs affect your dependency versions, and which version fixes each
Live npm and UNPKG data for AI agents: resolution, audits, import maps, malware/CVE checks.
Ultra-low latency edge MCP server and token optimizer. Reduces LLM context costs by 60-99% via AST code skeletons, homogeneous JSON pruning, and stream healing.
Thermal label MCP server: render, validate, debug and convert ZPL, EPL, TSPL and CPCL labels.
Code review for your coding agent's changes: a cloud bug hunt. From $4; $0 if clean or minor-only.
An MCP server that compiles ASN.1 schema definitions into executable, native source code for a variety of languages (like Python, Rust).
Ask Verse anything with sources, plus code review, translation and more paid per call over x402.
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.
Design review for UI code and live pages: quick checks, 0-100 scored reviews, fixes as patches
Headron Mind: hosted verification planning and proof for AI coding agents, over MCP and API.
Package versions, licences and known vulnerabilities for npm, PyPI, crates, Go, Maven, NuGet
Evaluates any GitHub repository for license risk, maintenance velocity, stars/forks, and supply-c.
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.
Find what to fix on a public website, for search engines and for AI answers.
TypedPull MCP server by PeerFoundry. Disclosure: We built these; PeerFoundry is maker.
Scan code for quantum-vulnerable cryptography and get NIST post-quantum migration guidance.
Security reviews, threat models over a repo or website, and remediation tracking, in your editor.
Commit-pace and release probabilities for open-source repositories. Docs: anteproof.com/docs
FiveM dev tools: find resources, check compatibility, validate Lua and server.cfg, generate jobs
Production-safety audits for AI-generated code, with a fix for every finding.
**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
Smart-contract security audits for EVM chains and DAML: quote, run and fetch reports.
