"Creating Jira tickets from Slack messages" matching MCP connectors:
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The official e18e MCP server keeping your agent in check from installing bloated dependencies.
What CSS you can actually ship today, from live Baseline data and MDN browser-compat-data.
Score the privilege a Chrome MV3 extension takes from its manifest, and diff permission sets.
MCP server for YAML: validate & lint, convert between 10 formats, visualize as diagrams, and create/edit your saved diagrams — from your AI editor.
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
Deterministic regex synthesis from labeled examples. Zero LLM, proof matrix, backtracking audit.
Code intelligence for LLMs. Analyze, search, and retrieve code from any public git repository.
Generate wiki docs from source code. Supports PowerShell, Python, Go, C#, Java, COBOL.
Generate AGENTS.md, AP2 compliance docs, checkout rules, debug playbook & MCP configs from any repo.
## 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
MCP server for understanding Javascript internals from ECMAScript specification.
Deep security scans of repos you own from your editor: dependency CVEs, SAST, git-history secrets.
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.