Neo4j Storage for MCP Servers
Learn how to implement Neo4j graph database storage for Model Context Protocol servers
Overview
Neo4j provides a powerful graph database solution for storing and querying model contexts with complex relationships. This implementation allows MCP servers to leverage graph-based storage for context management.
Prerequisites
- Neo4j 5.0 or higher
- Node.js 18 or higher
- MCP server base implementation
- Neo4j Desktop (optional, for visualization)
Installation
npm install neo4j-driver
Implementation
// filepath: /path/to/Neo4jStorage.ts
import neo4j, { Driver, Session } from 'neo4j-driver';
class Neo4jStorage implements MCPStorageProvider {
private driver: Driver;
constructor(uri: string, username: string, password: string) {
this.driver = neo4j.driver(uri, neo4j.auth.basic(username, password));
}
async initialize(): Promise<void> {
const session = this.driver.session();
try {
// Create constraints
await session.run(`
CREATE CONSTRAINT context_id IF NOT EXISTS
FOR (c:Context) REQUIRE c.id IS UNIQUE
`);
} finally {
await session.close();
}
}
async storeContext(contextId: string, data: Buffer): Promise<void> {
const session = this.driver.session();
try {
await session.run(`
MERGE (c:Context {id: $contextId})
SET c.data = $data,
c.updatedAt = datetime(),
c.size = $size
`, {
contextId,
data: data.toString('base64'),
size: data.length
});
} finally {
await session.close();
}
}
async retrieveContext(contextId: string): Promise<Buffer> {
const session = this.driver.session();
try {
const result = await session.run(`
MATCH (c:Context {id: $contextId})
RETURN c.data
`, { contextId });
if (result.records.length === 0) {
throw new Error('Context not found');
}
return Buffer.from(result.records[0].get('c.data'), 'base64');
} finally {
await session.close();
}
}
}
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