What should I verify first?

Verify create, query, delete, and rollback with a small public text sample before using real data.. Keep credentials out of the first run, record expected output, define cleanup, and use public sample data before real workloads.

What is the main risk?

May increase setup, validation, or first-run risk for the user.. Use upstream documentation and a sandbox validation path before adoption.

Vector Retrieval and RAG · Public

claude-skills-mcp

Q: What is claude-skills-mcp?

claude-skills-mcp is a Doramagic Project Pack for Vector database setup checks, embedding model boundaries, collection management, query acceptance, and deletion guidance. It links the upstream repository, source-backed manual, prompt preview, AI context, and risk boundaries so users can evaluate the project before installation.

Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.

Vector databaseRAGEmbeddingsSemantic searchData boundaries

Best fitDevelopers connecting knowledge bases, documents, or app data to semantic retrieval or RAG workflows.

Check whether this project matches your task before installing it.

What it can doVector database setup checks, embedding model boundaries, collection management, query acceptance, and deletion guidance

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshotstars unavailable

forks unavailable · contributors unavailable

Doramagic.ai Last verification date: 2026-06-09 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-06-09

What is claude-skills-mcp?

claude-skills-mcp is a vector database, retrieval, or RAG storage component for AI applications.
Best fit: Developers connecting knowledge bases, documents, or app data to semantic retrieval or RAG workflows.
Not for: Not for one-off model API calls or environments that cannot isolate indexed data, credentials, and persistence paths.
Capability added to an AI workflow: Vector database setup checks, embedding model boundaries, collection management, query acceptance, and deletion guidance
First safe verification step: Verify create, query, delete, and rollback with a small public text sample before using real data.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/K-Dense-AI/claude-skills-mcp, https://github.com/punkpeye/awesome-mcp-servers#readme, https://github.com/K-Dense-AI/claude-skills-mcp#readme, Human Manual

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forDevelopers connecting knowledge bases, documents, or app data to semantic retrieval or RAG workflows.

Match the project to your task before installing it.

CapabilityVector database setup checks, embedding model boundaries, collection management, query acceptance, and deletion guidance

Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.

Repositoryk-dense-ai/claude-skills-mcp

stars unavailable · forks unavailable

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Overview & Two-Package Architecture

Related topics: Skill Loading, Vector Search & Auto-Update, MCP Tools, Configuration & Frontend Proxy, Deployment, Client Compatibility & Troubleshooting

Source: https://github.com/K-Dense-AI/claude-skills-mcp / Human Manual

Skill Loading, Vector Search & Auto-Update

Related topics: Overview & Two-Package Architecture, MCP Tools, Configuration & Frontend Proxy

Source: https://github.com/K-Dense-AI/claude-skills-mcp / Human Manual

MCP Tools, Configuration & Frontend Proxy

Related topics: Overview & Two-Package Architecture, Skill Loading, Vector Search & Auto-Update, Deployment, Client Compatibility & Troubleshooting

Source: https://github.com/K-Dense-AI/claude-skills-mcp / Human Manual

Deployment, Client Compatibility & Troubleshooting

Related topics: Overview & Two-Package Architecture, MCP Tools, Configuration & Frontend Proxy

Source: https://github.com/K-Dense-AI/claude-skills-mcp / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/K-Dense-AI/claude-skills-mcp, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Starsstars unavailable

Forksforks unavailable

Contributorscontributors unavailable

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using claude-skills-mcp with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Your project is now listed on CodeGuilds
github / github_issue
02
Question about auth approach
github / github_issue
03
Backend fails to install on macOS x86_64 (Intel) — PyTorch has no compat
github / github_issue
04
Port conflict on startup (address already in use) with custom frontend -
github / github_issue
05
Codex shows 'No MCP tools available' while claude-skills tools are calla
github / github_issue
06
Integration with ai-agent-skills
github / github_issue
07
Windsurf support
github / github_issue
08
Add Windows Support (timeout as of now)
github / github_issue
09
v1.0.6
github / github_release
10
v1.0.5
github / github_release
11
v1.0.4
github / github_release
12
v1.0.3
github / github_release

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

uvx claude-skills-mcp

Official start command · https://github.com/punkpeye/awesome-mcp-servers#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

claude-skills-mcp Manual

- [juspay/neurolink](k-dense-ai/claude-skills-mcp) 📇 ☁️ 🏠 🍎 🪟 🐧 - Making enterprise AI infrastructure universally accessible. Edge-first platform unifying 12 providers and 100+ models with multi-agent orchestration, HITL

Open the full manual

https://github.com/K-Dense-AI/claude-skills-mcp Project Manual
Table of Contents
Overview & Two-Package Architecture
Related Pages
Purpose & High-Level Role
Two-Package Monorepo Architecture
Package 1 — Frontend (`claude-skills-mcp`)
Package 2 — Backend (`claude-skills-mcp-backend`)

Overview & Two-Package Architecture

Related topics: Skill Loading, Vector Search & Auto-Update, MCP Tools, Configuration & Frontend Proxy, Deployment, Client Compatibility & Troubleshooting

Source: https://github.com/K-Dense-AI/claude-skills-mcp / Human Manual

Skill Loading, Vector Search & Auto-Update

Related topics: Overview & Two-Package Architecture, MCP Tools, Configuration & Frontend Proxy

Source: https://github.com/K-Dense-AI/claude-skills-mcp / Human Manual

MCP Tools, Configuration & Frontend Proxy

Related topics: Overview & Two-Package Architecture, Skill Loading, Vector Search & Auto-Update, Deployment, Client Compatibility & Troubleshooting

Source: https://github.com/K-Dense-AI/claude-skills-mcp / Human Manual

Deployment, Client Compatibility & Troubleshooting

Related topics: Overview & Two-Package Architecture, MCP Tools, Configuration & Frontend Proxy

Source: https://github.com/K-Dense-AI/claude-skills-mcp / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

high

Configuration risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Installation risk requires verification

Developers may fail before the first successful local run: Backend fails to install on macOS x86_64 (Intel) — PyTorch has no compatible wheels

medium

Installation risk requires verification

Developers may fail before the first successful local run: Integration with ai-agent-skills

medium

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Configuration risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Configuration risk requires verification

Developers may misconfigure credentials, environment, or host setup: Codex shows 'No MCP tools available' while claude-skills tools are callable