MCP TOOLS / FIELD NOTES

6 MCP Tools Worth Watching

A narrated HubMesh roundup featuring keenetic-mcp, slides_maker, memstack and 3 more, with direct links to every repository.

Good tools are better shared.
OPEN THE CODE

From the episode to your editor.

What each project does, who it’s for, and what to check first.

Star counts recorded at publication.
salatmaster

keenetic-mcp

Enables AI agents to control Keenetic routers via the router's RCI API using the Model Context Protocol.

TypeScript18
What to know
Why it matters
Facilitates secure network automation and management for Keenetic router users.
Best for
Developers automating Keenetic home networks.
Check before adopting
Verify compatibility with your router model and guest segment visibility handling.
addsumtech

slides_maker

Converts documents and topics into editable PowerPoint decks using AI-driven independent critique.

Python428
What to know
Why it matters
Saves time by generating accurate, native PPTX presentations from various input formats.
Best for
Users needing automated slide deck creation from documents.
Check before adopting
Check how it handles incremental updates to avoid unnecessary rebuilds.
cwinvestments

memstack

Provides Claude Code with 130 professional skills covering deployment, security, databases, marketing, and more.

Python413
What to know
Why it matters
Expands AI coding assistant capabilities across diverse professional domains.
Best for
Developers enhancing Claude Code with structured skill sets.
Check before adopting
Confirm skill relevance and integration with your Claude Code setup.
pegainfer-project

pegainfer

A Rust and CUDA-based inference engine serving large language models up to trillion-parameter scale.

Rust642
What to know
Why it matters
Supports high-performance LLM inference leveraging GPU acceleration.
Best for
Developers deploying large-scale LLMs with Rust and CUDA.
Check before adopting
Evaluate cold start speed and GPU compatibility for your environment.
razzant

claudexor

Runs best-of-N races among AI coding agents and tests generated patches without altering the original repo.

TypeScript405
What to know
Why it matters
Enables comparative AI code generation and safe patch validation workflows.
Best for
Developers orchestrating multiple AI coding agents locally.
Check before adopting
Verify how patch testing isolates changes to prevent repo mutation.
zeenie-ai

OpenCompany

Automates work processes with 132 nodes across 27 categories, maintaining accessible multi-year context.

Python400
What to know
Why it matters
Offers a self-hosted AI agent platform for organizational automation and data ownership.
Best for
Teams seeking autonomous agent-based workflow automation.
Check before adopting
Assess how it preserves and accesses long-term contextual data.
STAY CURIOUS

Your next idea might be
one repository away.

Explore the channel. Find something worth building with.

Find your next rabbit hole.

ESC

Search across episode titles, topics and featured repositories.