TensorFlow

MCP Servers for TensorFlow

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.

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Why this server?
Mentioned as an example repository that can be analyzed using the remote codebase feature to understand specific components like testing frameworks
Codebase MCP
DeDeveloper23
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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.
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3
54
MIT License
Why this server?
Enables access to TensorFlow documentation through repository search, mentioned specifically in the example results.
MCP DeepWiki Server
LoganZechella
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security
F
license
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A Model Context Protocol server that enables AI assistants to fetch and understand GitHub repository documentation on-demand from DeepWiki during conversations.
Last updated -
3
Why this server?
Enables access to TensorFlow documentation, machine learning examples, neural network patterns, and AI development best practices via Context7's API
Context7 MCP Server
NimbleBrainInc
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security
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Provides access to the Context7 API for searching up-to-date documentation, code examples, API references, and troubleshooting help across thousands of programming libraries and frameworks. Enables developers and AI agents to quickly find accurate documentation, compare libraries, get migration guides, and resolve coding issues.
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MIT License
Why this server?
Supports TensorFlow Lite model integration for machine learning inference in Android applications
Kotlin MCP Server
normaltusker
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security
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license
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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 -
9
AGPL 3.0
Why this server?
Handles TensorFlow installation, optimization, and model deployment for edge AI computing.
JetsonMCP
ajeetraina
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security
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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.
Last updated -
3
MIT License
Why this server?
Detects TensorFlow installations and reports on GPU availability for AI development.
DevEnvInfoServer
carterlasalle
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security
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An MCP server that provides detailed information about your development environment to the Cursor code editor, enabling more context-aware assistance.
Last updated -
5
MIT License
Why this server?
Provides access to TensorFlow for AI model training and inference within a secure sandbox
microsandbox
microsandbox
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microsandbox
Last updated -
3,803
Apache 2.0
Why this server?
Mentioned as an example implementation option in the select_option tool, allowing AI tools to present TensorFlow as an implementation choice to users.
MCP Interactive Service
DanielZhao1990
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security
F
license
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An interface enabling high-frequency communication between AI tools (like Cursor and Windsurf) and users, allowing for option selection and information gathering through CLI, Web, or PyQt interfaces.
Last updated -
29
Why this server?
Uses TensorFlow.js for efficient tensor operations in the neural memory model with operations wrapped in tf.tidy() for proper memory management
MCP - Titan Memory Server
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security
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Enables neural memory sequence learning with a memory-augmented model for improved code understanding and generation, featuring state management, novelty detection, and model persistence.
Why this server?
Enables integration with TensorFlow for machine learning workflows, model development, and AI experimentation
Llama 4 Maverick MCP Server
YobieBen
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security
F
license
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Bridges Llama models with Claude Desktop through Ollama, enabling privacy-first local AI operations with 10+ built-in tools for file operations, web search, calculations, and custom model deployment. Features streaming support, hybrid intelligence workflows, and extensive Python ecosystem integration for research, development, and enterprise applications.
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