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licenseA
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maintenanceProvides high-quality text-to-speech synthesis with 10 natural voices, emotion control, and dynamic pacing for professional applications requiring expressive speech output.
Last updated
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MIT
Best ONNX MCP Servers
ONNX (Open Neural Network Exchange) is an open format for representing machine learning models, allowing models to be transferred between different frameworks and tools.
Why this server?
Uses ONNX runtime for the Kokoro neural voice models, providing high-quality text-to-speech synthesis with multiple voices and emotional expressions
Why this server?
Utilizes bundled ONNX embeddings for semantic code search capabilities that work offline without requiring API keys.
AlicenseAqualityAmaintenanceFramework-aware code intelligence MCP server that builds a cross-language dependency graph from source code. 53 integrations (Laravel, Django, Rails, Spring, NestJS, Next.js, and more) across 68 languages. 100+ tools for navigation, impact analysis, refactoring, security scanning, session memory, and CI/PR reports — up to 97% token reduction.Last updated10025394MITWhy this server?
Utilizes ONNX model files for text-to-speech processing, specifically loading the Kokoro model weights for voice generation.
AlicenseBqualityFmaintenanceA server that generates MP3 audio files from text using Kokoro TTS technology with optional S3 upload capabilities.Last updated182Apache 2.0Why this server?
Uses the ONNX runtime to run the Kokoro TTS model, enabling high-quality text-to-speech conversion without requiring an API key.
AlicenseBqualityDmaintenanceA Model Context Protocol server that provides text-to-speech capabilities using the Kokoro TTS model, offering multiple voice options and customizable speech parameters.Last updated471MITWhy this server?
Utilizes ONNX runtime for local embedding model inference, enabling efficient semantic search without external API calls.
AlicenseAqualityAmaintenanceCognitive memory for AI agents. Works with Claude Code, Cursor, Windsurf, and any MCP-compatible client.Last updated1922MITWhy this server?
Supports quantized ONNX models for faster inference, providing INT8 quantized judges with smaller memory footprint and improved performance for local semantic validation.
AlicenseAqualityAmaintenanceSemantix-Verify is an MCP server for semantic validation of AI/LLM outputs. It exposes a single tool, verify_text_intent(text, intent_description, threshold), which uses a local quantized NLI cross-encoder (INT8 ONNX) to return a 0.0–1.0 probability that the text satisfies the given intent — and, when it doesn't, a structured correction prompt for agent retry loops. Useful for building comLast updated14MITWhy this server?
Supports ONNX model format for AI accelerator inference workloads including MemryX MX3, Coral TPU, Hailo-8, and Intel NCS2.
AlicenseBqualityCmaintenanceEnables AI assistants to manage homelab infrastructure through automated service installation (Jellyfin, Pi-hole, Ollama, Home Assistant, Frigate NVR), VM operations, AI accelerator support (MemryX, Coral TPU, Hailo-8), and Terraform state management with SSH-based discovery and deployment.Last updated584MITWhy this server?
Provides local embedding using ONNX runtime with auto-downloaded all-MiniLM-L6-v2 model for zero-config semantic search.
AlicenseBqualityCmaintenanceEnables token-efficient semantic search and analysis over any directory of files through hybrid search, directory overview, structural analysis, and dependency graphs.Last updated14MITWhy this server?
Checks for ONNX Runtime installation and reports its version.
Alicense-qualityAmaintenanceEnables AI assistants to retrieve structured information about the local Windows machine, including system specifications, resource health, developer tools, and AI environment, all through a secure, read-only interface.Last updatedMIT