"A guide on how to deploy a web app" matching MCP connectors:

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.

Check that your AI is being logical. Free tool that mathematically catches contradictions in agent reasoning. No account needed. Also offers paid guardrails that converts natural language to formal verification proofs, that anyone can check succinctly.

Lint a SKILL.md for frontmatter, structure, secrets and size. All 6 tools free.

Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.

A skeptical senior-engineer code reviewer over MCP: risk-scans unified diffs, flags AI-generated-code tells, reports complexity hotspots, scans for leaked secrets, and runs an OWASP security pass — real analyzers, no external APIs. Free tier, no signup.

A fully free linter for agent skill files: lint_skill validates YAML frontmatter, structure, size budgets, and safety phrasing with a pass/fail verdict; packaging_check validates zip layout against marketplace rules; plus regex_test, json_validate, diff_texts, and cron_explain for skill authors. No license or account required.

Honest library picks for coding agents in 25-360 tokens. Tells your agent what NOT to install.

Statically audits MCP tool surfaces for token cost, schema quality, and design issues.

Score the privilege a Chrome MV3 extension takes from its manifest, and diff permission sets.

Ground-truth code graph for your codebase: exact callers, callees, symbols & dependencies.

Repository evidence for agents before they adopt dependencies, enter codebases, compare, or merge.

Dev-registry data: npm/PyPI/Docker/VS Code packages, dep graphs, vulns, 50+ ecosystems.

Independent static verification for exact immutable public GitHub commits.

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.

Runs your code against a contract; returns HELD or BROKE at the exact input. Deterministic.

Multi-model code review: a panel of models + detectors return a pass/fail verdict. Paid via x402.

Post-quantum cryptography (PQC) vulnerability scanner. Detects ECDSA, RSA, AES-128 and other quantum-vulnerable algorithms in GitHub/GitLab/Bitbucket repos and Ethereum smart contracts. Returns risk score 0-100, CBOM (CycloneDX 1.6), and migration paths to NIST FIPS 203/204/205. Free tier: 10 scans/day, no key required.

An MCP server that gives your AI access to the source code and docs of all public github repos

Stop your AI agents from writing sloppy TypeScript. A toolkit that teaches coding agents like Claude Code, Codex, Cursor, Amp, and more to ship production-ready code in half the time, at half the cost. Docs are available at https://convention.sh/docs

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