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📇 - Search @imqueue docs and scaffold typed services & clients for AI coding agents, access CLI and manage your service fleet.

📇 🪟 - Deterministic guardrail for AI-written diffs, runnable from inside the coding agent's own loop over MCP. Zero-LLM-token, AST-precise rules (SQLi, SSRF, XXE, permissive CORS, prototype pollution, hardcoded secrets) across 8 languages, plus structural checks for reinvented helpers and over-abstr

🪟 - Keyless local MCP server bringing ISTQB / OWASP / IEEE / ISO / EU AI Act QA standards into your AI client: standards-grounded retrieval, deterministic QA effort estimation, and automated QA document quality review (0-100 rubric) plus JUnit/CSV test-results flakiness analysis.

🪟 - MCP server for quelllm.fr — open-weights LLM catalog (250+ models with params, VRAM by quantization, tokens/sec, license). Tools: , , , , (API providers vs self-hosted hardware in EUR), . Useful when picking a local model that fits your GPU/Mac.

📇 - Scaffold modern npm packages, CLIs, services, and full-stack monorepos from your agent. Three tools: inspect the option schema, preview the generated file tree, and write the project to disk — optionally creating the GitHub repo and pushing to it, or merging into an existing clone without overwr

📇 - Deterministic axe-core accessibility scanning (WCAG 2.1 AA, EN 301 549, PDF/UA) through a wcagc account: scan any public URL or PDF, crawl a whole registered site, replay saved multi-step journeys, and read violation trends. Returns structured findings — rule, severity counts and the success cri

📇 🪟 - Operator leaderboard measuring users, not models — ranks AI coding operators by token cascade efficiency (Yield = Cache Reads × Output / Input²). 15 MCP tools: rank, pull, submit (ed25519-signed), diagnose, simulate. Privacy-first: only token counts leave the machine.

📇 - Audits a domain email deliverability: SPF, DKIM, DMARC, MX, mail provider, DNS blacklist, catch-all, and domain age, returning a 0-100 health score via an Apify actor.

📇 🪟 - Structural code context server for AI agents — compressed symbol indexes, dependency graphs, and git diffs via TypeScript AST analysis. Zero external dependencies, no vector database or embedding API required.

🪟 - Semantic codebase search + persistent working memory for AI code editors. Hybrid dense + BM25 search over AST-aware chunks, a symbol graph for locate/trace, and typed notes that survive context compaction and session restarts. Local embeddings, zero config, no API key.

📇 - Shorten links, read click analytics, generate branded QR codes, and manage links on opn.onl — the open-source, self-hostable URL shortener. Works with the hosted service or your own instance.

🪟 - C++26 paper reference MCP () backing a Claude Code plugin: , fuzzy , over a 216-paper ISO/IEC 14882:2026 corpus. The plugin's skill + reviewer subagent use these tools to bias Claude toward reflection, contracts, senders, , expansion statements — even when the local compiler lags. 95% on a held

📇 - Audit the images on any web page: natural vs rendered dimensions, oversized-image detection, and format breakdown, so agents can check web-image performance. Calls the hosted imagedimensions.com API, so no local browser is required.

- Render and verify native Rust GUIs with no display or GPU: render to a typed accessibility tree, query/interact by semantic selector (never coordinates), check contrast/focus-order/hit-target-size, diff screenshots, and watch motion play as a captioned filmstrip. 13 tools. .

📇 - Webhook & callback layer for AI agents: create a callback URL, then to block until the webhook lands — signature-verified and decrypted — instead of polling. Verify HMAC, list/replay callbacks.

🪟 - Capstone of the Grand Line MCP set: a "collect them all" server that unlocks once the other tools are installed.

🪟 - Guardrail that checks agent-written code against a repo's own git-history-learned patterns — flags foreign dependencies, reinvented functions, misplaced code, broken layering, and gamed tests. Exposes (the repo's familiar imports/idioms for a file, so agents write in-voice before generating), (s

📇 🪟 - CI for ink interactive-fiction stories. Compiles, exhaustively playtests every branch, and finds runtime errors (with a repro path), unreachable knots, and every distinct ending — so an agent can verify the story it wrote. Writes no prose.

- MCP server that lets AI agents create and manage public tunnels to local services (webhooks, dev servers, sharing) — six tools covering HTTP/TCP/UDP tunnels, custom subdomains, regions, and load-balanced pools. Pairs with the rustunnel CLI; managed cloud or self-hosted (AGPL).

🪟 - Affected-test selection for Kotlin/Android projects: returns only the unit tests impacted by the current working-tree changes, so agents skip full test runs while iterating. Function-level static analysis via Kotlin Analysis API — call graph over functions, properties (initializers, delegates, a

📇 🪟 - Routes an AI coding agent's code search through an official language-server index (clangd / Roslyn / tsserver / pyright) instead of grep, returning a token-capped list with no source bodies — ~20× fewer tokens. Also symbol-level edit-by-name, a Bash-grep→indexed-query rewrite hook, and git/p4

🪟 - Log-stream tools for on-call / SRE agent workflows — expose (RustLogs) log files as MCP tools. Three tools: (last N events, filtered by level/target), (JSON-path-style predicates), (grouped error taxonomy). Speaks JSON-RPC 2.0 over stdio; near-lock-free structured logging engine underneath (65k-

- Type-faithful calculator: evaluate expressions under fixed-point, IEEE-754 double, or exact rational arithmetic, with every answer labelled exact vs inexact. Tools: calculate, analyze, solver, help, info. Offline, no network. .

📇 🪟 - Structural memory for coding agents. Indexes TypeScript/JavaScript repos and exposes callers, callees, blast-radius impact, and symbol locations over MCP — with file:line@sha evidence anchors and branch-aware differential impact — so agents answer "who calls X?" / "what breaks if I change X?"