TensorFlow is an open-source machine learning framework developed by Google that provides a comprehensive ecosystem of tools for building and deploying machine learning models.
A Model Context Protocol server that enables AI agents to retrieve and understand entire codebases at once, providing tools to analyze local workspaces or remote GitHub repositories.
Last updated a year ago
5
3
135
77
MIT
Why this server?
Supports TensorFlow and TensorFlow Lite model formats for AI accelerator inference, particularly for Coral Edge TPU and Hailo-8 accelerators.
Enables 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 updated 9 days ago
49
4
MIT
Why this server?
Supports TensorFlow Lite model integration for machine learning inference in Android applications
Kotlin MCP Server for Android app development using OpenAI, Gemini, or OpenRouter. Enables AI-assisted coding via Aider, Gradle build/test integration, Kotlin LSP, and Docker-based portability.
Last updated 7 months ago
28
AGPL 3.0
Why this server?
Enables access to TensorFlow documentation through repository search, mentioned specifically in the example results.
A Model Context Protocol server that enables AI assistants to fetch and understand GitHub repository documentation on-demand from DeepWiki during conversations.
Last updated 9 months ago
3
Why this server?
Enables the analysis of TensorFlow HDF5 artifacts to identify unsafe serialization patterns and potential security risks before loading.
ModelSafetyMCP is an MCP server for scanning machine learning model artifacts for unsafe serialization, malicious model patterns, risky packaging, URL-based artifact scanning, and directory-level triage.
Last updated 21 days ago
MIT
Why this server?
Provides access to TensorFlow for AI model training and inference within a secure sandbox
Enables Claude to function as a full-stack software engineer with comprehensive development capabilities including project creation, database management, frontend/backend development, testing, deployment, and DevOps operations across multiple frameworks and technologies.
Last updated 10 months ago
Why this server?
Provides access to TensorFlow documentation through DevDocs.io, enabling search and retrieval of TensorFlow library documentation content.
Provides access to 600+ documentation libraries from DevDocs.io including Python, JavaScript, React, Django, and more. Enables searching, browsing, and retrieving documentation content directly through Claude Desktop.
Last updated 3 months ago
5
2
Why this server?
Handles TensorFlow installation, optimization, and model deployment for edge AI computing.
Connects AI assistants to NVIDIA Jetson Nano systems for edge computing management, enabling natural language control of AI workloads, hardware optimization, and system administration tasks.