"NextBillion.ai" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceCode review for your coding agent's changes: a cloud bug hunt. From $4; $0 if clean or minor-only.
Design review for UI code and live pages: quick checks, 0-100 scored reviews, fixes as patches
TypedPull MCP server by PeerFoundry. Disclosure: We built these; PeerFoundry is maker.
Guardian agent for AI coding: four frontier models review risky diffs and commits before they ship.
Security reviews, threat models over a repo or website, and remediation tracking, in your editor.
Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.
DBRE-grade SQL analysis inside any MCP client. No connection. No install. Paste a query.
Bounded software search, unknown requirements, and the origins of project identifiers.
Agentic code review, no signup to try: reality gates + frontier-model review, with veto.
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.
AI product expert answering from live source code, with sources and a verification status.
Zero-install security baseline for AI coding agents — OWASP/CWE-cited rules over MCP.
OSS libs in your stack, really used: source, tests, callers. C#, Java, TS, Python, Rust, PHP+.
Enterprise code intelligence for M&A, security audits, and tech debt. Hosted server with 200k free.
Scores code against a repo's own incident history, rolled into an 8 index Production Reliability Index (PRI). Exposes suggest_code, save_recommendation, and get_scan_report as tools.
Codebase intelligence for agents: 152 structured artifacts across 21 programs, one call.
Validates AI-generated Python: syntax, lint, security scan and deterministic repair.
Multi-LLM council: 25+ frontier models in parallel, consensus scoring, verdict-first code review.
295k+ bug-fix patterns with MCP Hub proxy, PII filtering, and code search
Read-only access to your CodeMouse accounts, repositories, and AI pull-request reviews.
Provide your AI coding tools with token-efficient access to up-to-date technical documentation for…
Merget for coding agents: set up the merge queue, operate it, and read its findings and code graphs.
Hunt zero-days by talking to binaries. 40+ tools. Hosted, OAuth + SSO, invite: hi@byteray.ai
Founders' AI CSO: vulnerabilities, dependencies, secrets, verified-site checks, threat model, fixes.
Chipp: the code of an app being rebuilt: the imported GitHub repo and the legacy codebase
Scan a GitHub repository for vulnerabilities, with proof for every finding, from your coding agent.
Query your team's AI coding history and act on HypAware recommendations from any MCP client.
Diff two npm/PyPI versions or lockfiles: new install scripts, network/shell/eval calls, new deps.
Give your AI assistant a live map of your Salesforce org: objects, fields, flows, Apex and permissions. Ask questions, trace dependencies, and make changes you approve first.
Checks AI-written code against your rules as it is written, and keeps a record of what it found.
