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Tools and integrations that enhance the development workflow and environment management.

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    Gives AI coding assistants live access to the Hyperiux Vault catalog of React and Next.js animation effects. Search effects, inspect dependencies and installation instructions, and retrieve source for free effects.
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    MIT
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    Aziel Runtime is a node-meshed MCP software orchestration suite for digital forensics, auditing, provenance, research, intelligence-support, and secure agent workflows, with a single gated execution path, compartmentalized engines, verifiable receipts, temporal integrity, and explicit capability refusal. It is not merely an API aggregator or generic tool router.
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    Apache 2.0
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    Local-first memory for coding agents. Discovers the memory, instructions, and rules Claude Code, Codex, and Cursor already wrote on your machine, combines them into one canonical Markdown tree, and serves grounded, cited recall through tools like ask_memory and canonical_memory.
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    137 PyPI
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    Answer CTRLRun approvals from your assistant: list the agent actions waiting on a human, inspect one action's full history, and approve, deny or resolve it, plus read receipts, effects and stats. Reads answer without a credential; the three write tools refuse without one that names a person.
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    Apache 2.0
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    Free certification prep for the Claude Certified Architect exam. 390 scenario-based questions, guided capstone build, 30 concept handouts, 6 reference projects, practice exams, interactive UI with clickable answer cards, progress dashboard, spaced repetition, and deterministic grading. Everything runs locally — no cloud, no accounts, no telemetry.
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    One workspace for every AI coding assistant. Governance tools for API lint, diff, persistent ledger, multi-model deliberation, security audit, and test verification. Works with Claude Code, Codex, Cursor, and Gemini CLI.
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    Test management over MCP: author test cases, run manual executions with per-case results, cut releases, and link automated tests to the cases they cover. Works against the hosted M00N Report service or a self-hosted instance.
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    Scans websites to evaluate agent-readiness and produce an ASO Score Report across 34 signals, helping improve discoverability, trust, and interoperability for AI agents.
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    A Model Context Protocol server that provides AntV visualization library documentation and code examples to AI assistants, supporting G2, G6, and F2 libraries for data visualization workflows.
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    Provides seamless access to TomTom's location services including search, routing, traffic and static maps data, enabling easy integration of precise geolocation data into AI workflows and development environments.
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    Apache 2.0
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    A deterministic eval engine for coding agents. Your agent claims it fixed the bug—this checks it. The same scenario runs twice against a sandbox of the services your code calls, with failures injected on purpose. It must fail on the old code and pass on the new. The verdict is an exit code, not a model's opinion. Every run leaves a receipt.
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    Manages and dispatches multiple MCP servers from a cloud dashboard, reducing tool-context bloat by loading only the most relevant servers for a given task.
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    Cryptographic Autonomy 1.0 (Combined Work Exception)
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    Provides AI-enabled access to Amazon Business API documentation, sample code, and troubleshooting resources. Enables developers to search and retrieve API documentation, generate integration code, and get guided solutions for common errors during the API integration process.
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    Apache 2.0
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    Turn any .NET test-automation solution into a queryable map in one SQLite file — features, steps, API clients, page objects, and their dependencies. Zero config, no AI, no network, 100% deterministic.
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    Policy layer for multi-agent workspaces: one JSON policy file decides what each path is worth; agents can audit, explain and dry-run clean plans themselves, nothing is ever deleted by pattern, and every action lands in a hash-chained journal. Zero dependencies; pip install workspace-metabolism then wm mcp.
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    GCHQ CyberChef's 504 data-transformation operations as MCP tools — encryption, encoding, compression and forensics — w/ 19 analysis tools for work a single operation cannot express, such as: hash identification, RSA and ECDSA attacks, XOR key-length recovery, cipher solving, X.509 chain validation and NIST post-quantum identification (ML-KEM/ML-DSA/SLH-DSA).
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    GPL 3.0
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    Allows developers to query security findings (SAST issues, secrets, patches) using natural language within AI-assisted tools like Claude Desktop, Cursor, and other MCP-compatible environments.
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    Enables AI agents to submit and triage leads via email, check endpoint health, and generate production-ready form code across multiple frameworks without requiring API keys.
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    Connects MCP-compatible AI agents to the AGLedger API for change control, recording every change with signed, hash-chained records. Provides API pass-through tools and an offline audit verifier.
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    Enables AI assistants to query and analyze Rell code via Language Server Protocol features like hover information, completions, diagnostics, and code actions. Automatically manages the Rell LSP server and provides resource-based access with real-time subscriptions.
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