"A Dockerfile for running the quantum-aether-mcp server" matching MCP servers:

Enables agents to validate Dockerfiles for build-breaking syntax errors, risky patterns like root users and secrets in ENV/ARG, and cache-order problems, returning every finding with its line and a fix. It also verifies referenced container images against public registries, reporting tag existence, digests to pin, supported platforms, last rebuild time, and end-of-life status with an upgrade tag.

Enables users to audit Dockerfiles for container-security anti-patterns, including missing USER, baked-in secrets, curl | sh / wget | bash, unpinned base images, and ADD with remote URLs. It parses Dockerfile structure to return risk levels and actionable fixes.

An MCP server that audits Dockerfiles for security and quality issues, providing structured reports with severity, line numbers, remediation, and fix snippets.

Estimates physical quantum resources (qubit count, runtime) for quantum algorithms on fault-tolerant hardware through natural language queries.

Enables AI agents to discover accessible quantum instances and backends, simulate circuits locally, preview transpiled circuits, submit Sampler or Estimator jobs, and inspect or cancel runtime jobs via typed MCP tools.

Dockerfile Generator AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables submitting OpenQASM 2.0 circuits to IBM Quantum hardware and simulators, with job polling and histogram results, from any MCP client.

An MCP server that provides static validation and documentation lookup for quantum computing libraries, currently supporting PennyLane. It allows users to verify quantum code syntax and method usage against official library documentation to ensure correct implementation.

MCP server for authoring Quantum customer demos from Claude Code; enables listing, viewing, and updating demos with a guide and prompts.

Provides a stable, side-effect-free MCP tool contract that enables AI workflows to be prototyped, demoed, tested, or dry-run without connecting to databases, APIs, files, or other real data sources. It enables swapping in a real data server later without changing the AI-facing interface.

Enables coding agents to publish HTML pages and small sites over MCP, returning a stable link and keeping every version, with access limited to specific people, an organization, or anyone with the link.

Skill librarian for coding agents: describe a task and get the few matching skills from a large local skill collection, then report whether they worked. Runs locally with Ollama and SQLite.

Enables MCP clients to read bounded workspace files, validate exact replacement plans for the VS Code extension, and check recent typing progress without modifying source or running shell commands.

Enables an agent to submit a task brief and receive a short, validated list of skills from its full catalogue that are worth reading before starting.

Enables AI agents to directly manipulate Jupyter Notebook cells and structure through a secure, well-defined API, overcoming Cursor's AI agent mode limitations.

MCP server for managing i18n translation files — gives your AI agent full control over your app's translations without dumping entire locale files into context.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

۩ Plan your projects with THC! MLLM planning harness for Software Engineering, modifiable for other purposes, released as an MCP server. Bring your own API keys. Open-Source now, my dear! :D

Enables users to simulate quantum circuits, evolve qubit state vectors, apply gates such as Hadamard and CNOT, perform Born-rule projective measurements with Monte Carlo shot histograms, and run Grover amplitude amplification through MCP-compatible clients.

Enables users to simulate quantum circuits, evolve qubit state vectors, generate EPR Bell pairs, perform Born-rule measurement, and run Grover amplitude amplification through a zero-dependency MCP interface.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Local stdio MCP server for Bitwarden (Public API + Secrets Manager). 50+ admin tools for members, groups, collections, policies, licensing, projects, and secrets. For Claude Desktop / Claude Code.

An MCP server that manages your conversation context automatically, pruning dead branches and keeping an audit trail of every cut.

Exposes 11 agent-native QA tools over stdio so coding agents can discover a project, analyze risk, select the smallest relevant test set, generate and dry-run tests, triage failures, propose tiered heals, analyze flakes, generate quality reports, and evaluate release readiness. Planning and healing tools stay read-only or propose-only, while execution defaults to dry-run, keeping agent actions safe and evidence-backed.

Enables users to simulate multi-qubit quantum circuits through an MCP interface, including unitary gates, entanglement, Born-rule measurement sampling, fidelity/probability calculations, and Grover amplitude amplification. Integrates with Claude Desktop, Cursor, and Windsurf via JSON-RPC stdio.

Enables users to simulate quantum circuits and sample projective qubit measurements via Born's rule, including unitary gates, entanglement, EPR Bell states, and Grover amplitude amplification with Monte Carlo shot histograms.

Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.

Use Codex as a subagent inside Claude Code: async dispatch into a long-lived codex app-server, results pushed back into the Claude session automatically, steer/interrupt mid-task, and Codex's built-in code review.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.