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Neo4j FastMCP Server with Descope Authentication MCP Server

@artur-nohup

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基本情報

カテゴリ

開発者ツール

ライセンス

MIT license

トランスポート

stdio

作者

artur-nohup

Neo4j FastMCP Server with Descope Authentication MCP Server について

Neo4j MCP Server built with FastMCP TypeScript framework, featuring OAuth authentication and Docker support

Neo4j FastMCP Server with Descope Authentication MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "neo4j-fastmcp-server": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector"
      ]
    }
  }
}

Neo4j FastMCP Server with Descope Authentication MCP Server のツール

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上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Neo4j FastMCP Server with Descope Authentication?

A production-ready remote Model Context Protocol (MCP) server with enterprise-grade authentication powered by Descope. It integrates with Neo4j knowledge graph for persistent memory and is fully compatible with Claude.ai and other MCP clients.

How to use Neo4j FastMCP Server with Descope Authentication?

Clone the repository, install dependencies (npm install), configure the .env file with Descope, Neo4j, and OAuth credentials, then start with npm run dev (port 8081 for MCP, 8082 for OAuth). For Claude.ai, add a custom integration pointing to the MCP server URL and complete the OAuth flow. Docker deployments use docker run with environment variables or docker compose up -d.

Key features of Neo4j FastMCP Server with Descope Authentication

  • Enterprise authentication: OAuth 2.1 with PKCE + API keys
  • Full OAuth flow integration for Claude.ai custom integrations
  • Persistent Neo4j knowledge graph with full-text search
  • Fine-grained permissions with MCP-specific scopes and RBAC
  • Automatic token refresh and session validation
  • Docker support with health checks and monitoring

Use cases of Neo4j FastMCP Server with Descope Authentication

  • Add persistent memory to Claude.ai via custom MCP integration
  • Build enterprise knowledge management with company OAuth and shared graphs
  • Enable AI agents to store, search, and retrieve context across sessions
  • Create contextual AI applications with secure, remote knowledge storage

よくある質問

1

What authentication methods are supported?

OAuth 2.1 with PKCE (for interactive clients like Claude.ai) and API key authentication (for programmatic access). Both require Descope as the identity platform.

2

How do I integrate with Claude.ai?

In Claude.ai settings, add a custom MCP integration with the server URL (e.g., `http://localhost:8081/stream`). Complete the OAuth flow when prompted to connect.

3

What environment variables are required?

You must set `DESCOPE_PROJECT_ID`, `DESCOPE_MANAGEMENT_KEY`, `NEO4J_URI`, `NEO4J_USERNAME`, `NEO4J_PASSWORD`, `OAUTH_CLIENT_ID`, `OAUTH_CLIENT_SECRET`, `OAUTH_REDIRECT_URI`, and `SESSION_SECRET`.

4

How can I deploy with Docker?

Use the pre-built Docker image `arturrenzenbrink/neo4j-fastmcp-server:latest` with environment variables for Descope, Neo4j, and session secret, or use the included `docker-compose.yml`.

5

What testing tools are available?

You can use the MCP Inspector (`npx @modelcontextprotocol/inspector`) or test with cURL by sending requests to `http://localhost:8081/stream` using either an OAuth bearer token or an API key header.

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