Shelbymcp

Name: Shelbymcp
Author: Studio-Moser

by Studio-Moserversion 0.2.4i★ –iRuns on your computer

Registry nameio.github.Studio-Moser/shelbymcp

Install

Overview

Description from the maker (original English)

Knowledge-graph memory server for AI tools via MCP

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 55/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "shelbymcp": {
      "command": "npx",
      "args": [
        "-y",
        "shelbymcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add shelbymcp -- npx -y shelbymcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "shelbymcp": {
      "command": "npx",
      "args": [
        "-y",
        "shelbymcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "shelbymcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "shelbymcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Studio-Moser, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 5686 servers in this category
Published to the registry more recently than 8% of the other 5686 servers in this category
Basic checks equal to or better than 100% of the other 5686 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Shelbymcp safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.4) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 972.7K/wk★ 64.2KUpdated 2 days ago

Computer or cloud

Install

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 18K/wk★ 48.1KUpdated 22 days ago

Runs on your computer

Install

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

by exa-labsGrowing★ 5.2KUpdated 2 months ago

Runs in the cloud✓ exa.ai

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Local knowledge-graph memory for AI tools, implemented as one Rust binary.

Advisaur MCP gives MCP-compatible agents durable memory across sessions. Thoughts live in a local SQLite database with FTS5 search, optional vectors, typed graph edges, project scope, trust fencing, and curated context briefs. The server performs no inference and makes no model API calls.

Quick start

Run the platform-native binary through npm:

npx -y advisaur-mcp --version

npx -y advisaur-mcp

The default stdio server stores data at ~/.studiomoser-assistant-mcp/memory.db. Existing databases created by Advisaur MCP schema v18 open unchanged.

The server was called ShelbyMCP before its rename (ADR-0012). An existing ~/.shelbymcp folder moves to the new one the first time the server runs with its default database, and the old SHELBY_DB_PATH, SHELBY_TRANSPORT and SHELBY_API_KEY variables are still read, with a warning, for one release. npx shelbymcp still runs the server and says where it went.

Package-first integrations are included in the protected v0.4.0 release:

Client	Release package
ChatGPT / Codex	`advisaur-mcp-codex-0.4.0.zip`
Claude Code	`advisaur-mcp-claude-code-0.4.0.zip`
Cursor and Agent Plugins clients	`advisaur-mcp-agent-plugin-0.4.0.zip`
Gemini CLI	`advisaur-mcp-gemini-0.4.0.zip`
Antigravity	`advisaur-mcp-antigravity-0.4.0.zip`
Claude Desktop	`advisaur-mcp-claude-desktop- -0.4.0.mcpb`
Devin	`advisaur-mcp-devin-0.4.0.zip`

Use advisaur-mcp setup only when the client package or marketplace entry is not available yet. The fallback supports claude-code, claude-desktop, cursor, codex, gemini, and antigravity; devin directs you to its organization-managed marketplace, while windsurf keeps the legacy local config flow. It safely merges the MCP entry and never appends instructions to a global rules file. See Agent Setup.

What agents can do

The server exposes 12 MCP tools:

Capture, search, list, fetch, update, and delete thoughts.
Link and traverse typed graph edges with manage_edges, explore_graph, and expand_neighbors.
Build trusted, token-bounded context with get_brief and select_context.
Audit the database with thought_stats.

Search returns summaries and IDs so clients can fetch full content only when needed. Project-aware operations resolve scope from MCP roots and fail closed when the project cannot be identified. Untrusted or external memories are returned inside explicit data-only fences.

The optional Forage and Onboard skills are packaged with supported clients. They run in the user's agent session; Advisaur MCP does not receive or store model credentials. Standalone prompt bodies remain available:

advisaur-mcp forage

advisaur-mcp onboard advisaur-mcp migrate advisaur-mcp protocol

HTTP and OAuth

Start Streamable HTTP on port 3100:

ADVISAUR_API_KEY="replace-with-a-long-random-secret" \

npx -y advisaur-mcp --transport http --host 127.0.0.1 --port 3100

Endpoints include /mcp, /health, and MCP discovery documents. Setting ADVISAUR_API_KEY enables bearer authentication and an OAuth authorization-code flow with protected-resource discovery, S256 PKCE, dynamic client registration, and resource-bound access and refresh tokens. Tokens do not expire or rotate; rotate ADVISAUR_API_KEY to revoke them. Without it, HTTP runs unauthenticated and the OAuth endpoints return 503; do not bind an unauthenticated server to an untrusted network.

Build from source

git clone https://github.com/Studio-Moser/Advisaur-MCP.git

cd Advisaur-MCP cargo build -p assistant-mcp cargo test --workspace npm ci npm test

Rust owns the product. Node is used only for the small npm launcher, packaging scripts, and their tests. See Development and Architecture.

Memory-engine pull requests also run a deterministic contract and public retrieval gate. See [Memory evaluation]( ).

Reuse in an app

The workspace is layered so an app can embed it:

assistant-memory is the SQLite memory engine and all memory-domain behavior.
assistant-integrations is the current client catalog plus safe setup/status/uninstall helpers.
assistant-mcp exposes the MCP service and reusable Axum router as a library as well as a binary.

The app can embed these crates in-process, share one database contract across macOS and iOS, and host the same HTTP router without spawning Node.

License

MIT. See LICENSE.

Shelbymcp

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Quick start

What agents can do

HTTP and OAuth

Build from source

Reuse in an app

License