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"Controlling Ableton Live music production software" matching MCP servers:

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    A 100% local MCP server for semantic and lexical search over your code, library docs, and PDFs, featuring hybrid BM25 and dense retrieval, syntax aware chunking, and an optional code knowledge graph. It also ships a Coral integration, so you can expose your code search as SQL and join it with live data, all without anything leaving your machine.
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    Apache 2.0
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    SSWP MCP — Deterministic software attestation for AI-augmented development. Witness any repo through a 5-gate pipeline, adversarially probe dependencies, and produce self-verifying .sswp.json attestations. Fleet registry across 131 nodes with tamper-proof audit ledger and FTS5 search. Agent-native — one tool call from Hermes, Claude, or Cline.
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    MIT
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    A production-ready Model Context Protocol (MCP) server that bridges your Symfony/PHP project with LLMs such as Claude. It exposes tools that let the AI read your project's routes, services, Twig templates, and PHP source code.
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    MIT
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    An offline MCP server for SAP ABAP that provides static analysis, ABAP Cloud readiness checks, and RAP scaffolding using abaplint, enabling AI agents to analyze and generate ABAP code without a live SAP system.
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    MIT
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    The MCP server for Nanostores that scans your codebase with AST analysis to find stores, subscribers, and dependency chains, and can ingest live events to spot noisy, error-prone, or unused stores.
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    MIT
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    A self-hosted MCP server that fetches live documentation and performs code audits using real-time authoritative references to prevent AI hallucinations. It provides tools for searching documentation across 330+ libraries and scanning local source code for security, performance, and accessibility issues.
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    Elastic 2.0
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    Policy and quality engine for AI coding agents that enforces team coding standards and provides validation gates for agent-assisted software delivery.
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    MIT
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    A code-intelligence MCP server for coding agents that combines a static repository map (via tree-sitter) with precise live navigation (via LSP), providing structured, token-budgeted responses anchored to file:line.
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    Provides AI coding assistants with persistent memory, AST-based project indexing, and tools for live context management and hallucination detection. It enables saving lessons to local files, trimming conversation history, and verifying code symbols to prevent errors.
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    MIT
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    Enables LLMs to perform software composition analysis including license detection, vulnerability assessment, SBOM generation, and policy validation using the SEMCL.ONE toolchain.
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    Apache 2.0
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    Enables local npm supply-chain inspection through tools for repository scanning, SBOM generation, dependency audit, and evidence reporting. Uses deterministic mock data and does not query live APIs.
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    MIT
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    Enables AI assistants to perform reverse engineering and debugging of Windows executables through x64dbg, with tools for loading executables, controlling execution, analyzing memory and security, and generating reports.
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    MIT