"Two agents working simultaneously" matching MCP connectors:
Matching Connector Tools:
Honest library picks for coding agents in 25-360 tokens. Tells your agent what NOT to install.
CVE lookups (NVD) and dependency-manifest audits (OSV) for AI agents. No API keys.
Repository evidence for agents before they adopt dependencies, enter codebases, compare, or merge.
Zero-install security baseline for AI coding agents — OWASP/CWE-cited rules over MCP.
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
Pre-commit code quality guardian. Detects semantic drift in AI-generated code.
Deterministic JSON repair, validate, example-gen, schema-coerce for agents. Zero LLM, sub-10ms.
Real-time Python package and vulnerability data for AI coding agents.
Pre-flight check for AI coding agents: hallucinated packages + secrets, 6 ecosystems, no account.
Package intelligence for AI agents across npm, PyPI, crates.io and deps.dev. No API keys.
Change intelligence for coding agents: sourced breaking changes for npm, PyPI, and Rust packages.
MEOK AGENTS.md Linter MCP — validates the cross-vendor coding-agent spec (Cursor / Claude Code /
Security reviews for coding agents: diffs checked against your org policy and live infrastructure.
Exact text tools for AI agents: unified diff, patch apply, regex testing, grapheme counting.
Code intelligence for coding agents: semantic, AST, graph, and full-text search. 279+ languages.
npm & PyPI freshness for AI agents: latest version, deprecations, dated breaking-change diffs.
Repo intel for AI coding agents: overview, PRs, contributors, hot files, CI, deps. Remote MCP.
Research intelligence for AI coding agents. 2M+ CS papers with evidence and tradeoffs.
Code intelligence platform for AI agents. 20 tools for architecture, security & impact analysis.
Alcheon is an MCP server that gives AI coding agents access to a curated library of 100+ analyzed real-world design systems, letting them recommend reference sites, synthesize design briefs with spacing and color tokens, and generate section-level UI guidance — so AI-built interfaces draw from actual design DNA instead of generic defaults.