FlowMCP Server
Provides LocalServer and RemoteServer implementations for running MCP servers locally via stdio or remotely via HTTP/SSE, with simple and advanced deployment options.
README
FlowMCP Server
This repository provides two server implementations compatible with the FlowMCP framework:
- 🖥 LocalServer — for local, stdio-based execution
- 🌐 RemoteServer — for network-based usage via HTTP and SSE
Table of Contents
- Quickstart
- Local Server
- Remote Server
- Simple Deployment
- Advanced Multi-Route Deployment
- Advanced Server Access
- Compatibility
Quickstart
Deploy with DigitalOcean
An autodeploy is only available for a stateless server (streamableHTTP) .
🖥 Local Server
The LocalServer is designed for local workflows, using standard input/output streams. It is ideal for CLI tools, testing, and development environments.
✅ Features
- Lightweight and dependency-free I/O via stdin/stdout
- Fully supports
FlowMCP.activateServerTools(...) - Uses
StdioServerTransport
🚀 Example Usage
import { LocalServer } from 'flowmcp-server'
import { FlowMCP } from 'flowmcp'
import { SchemaImporter } from 'schemaimporter'
const schemaList = await SchemaImporter.get( { withSchema: true } )
const arrayOfSchemas = schemaList.map(({ schema }) => schema)
const { activationPayloads } = FlowMCP.prepareActivations({ arrayOfSchemas })
const localServer = new LocalServer({ silent: true })
localServer.addActivationPayloads({ activationPayloads })
await localServer.start()
🔧 Configuration
localServer.setConfig({
overwrite: {
serverDescription: {
name: 'My Local Server',
description: 'CLI test server',
version: '1.2.2'
}
}
})
🌐 Remote Server
The RemoteServer provides HTTP-based access to FlowMCP schemas using various protocols. It is ideal for frontend apps, remote agents, and networked integrations.
✅ Features
-
Supports 2 transport protocols:
streamable(HTTP with stateless communication)sse(Server-Sent Events)
-
Multiple routes and schemas can be activated
-
Easily configurable
🚀 Example Usage
import { RemoteServer } from 'flowmcp-server'
import { FlowMCP } from 'flowmcp'
const remoteServer = new RemoteServer({ silent: true })
// Define routes with their configuration
const arrayOfRoutes = [
{
routePath: '/api',
protocol: 'sse',
}
]
// Pre-assign schemas to routes
const objectOfSchemaArrays = {
'/api': [...] // Your schemas here
}
// Prepare route activation payloads
const { routesActivationPayloads } = RemoteServer.prepareRoutesActivationPayloads({
arrayOfRoutes,
objectOfSchemaArrays,
envObject: process.env
})
remoteServer.start({ routesActivationPayloads })
🔧 Configuration
remoteServer.setConfig({
overwrite: {
port: 8081,
rootUrl: 'http://mydomain.com'
}
})
📡 Supported Transport Protocols
| Protocol | Description |
|---|---|
sse |
Server-Sent Events, persistent connection |
streamable |
Stateless POST-based HTTP communication |
🚀 Simple Deployment
The Deploy class provides a quick way to set up servers with command-line parameter support.
📝 Example Usage
import { Deploy } from 'flowmcp-server'
// Initialize with command-line arguments and schemas
const { serverType, app, mcps, events, argvs } = Deploy.init({
argv: process.argv,
processEnv: process.env,
arrayOfSchemas: [...] // Your schemas
})
// Access parsed command-line arguments
console.log('Server Type:', serverType) // 'local' or 'remote'
console.log('Parsed Args:', argvs) // All CLI parameters
console.log('Express App:', app) // Express.js app (remote) or McpServer (local)
console.log('MCPs:', mcps) // null for local, sessions object for remote
console.log('Events:', events) // null for local, event emitter for remote
// Start the configured server
await Deploy.start()
🚀 Advanced Multi-Route Deployment
The DeployAdvanced class enables deployment of multiple routes with different schemas and protocols. Perfect for complex API setups.
🌟 Key Features
- Multiple routes with independent schema sets
- Pre-filtered schema assignment per route
- Mixed transport protocols (SSE + HTTP)
- Individual authentication per route
📝 Example Usage
import { DeployAdvanced } from 'flowmcp-server'
// Initialize the advanced deployment
const { serverType, app, mcps, events, server } = DeployAdvanced.init({ silent: true })
// Define routes with their configuration
const arrayOfRoutes = [
{
routePath: '/crypto',
protocol: 'sse',
},
{
routePath: '/admin',
protocol: 'streamable',
}
]
// Pre-assign schemas to routes (user controls filtering)
const objectOfSchemaArrays = {
'/crypto': [
// Crypto-related schemas only
coinGeckoSchema,
deFiLlamaSchema
],
'/admin': [
// Admin-only schemas
userManagementSchema,
systemStatsSchema
]
}
// Start with pre-configured routes and schemas
DeployAdvanced.start({
arrayOfRoutes,
objectOfSchemaArrays,
envObject: process.env,
rootUrl: 'https://api.example.com',
port: 8080
})
// Optional: Access server internals for advanced customization
console.log('Server Type:', serverType) // 'multipleRoutes'
// Express.js app - add custom middleware, routes, etc.
app.use('/health', (req, res) => res.json({ status: 'healthy' }))
// Monitor MCP sessions - track active connections per route
Object.entries(mcps).forEach(([route, { sessionIds }]) => {
console.log(`Route ${route}: ${Object.keys(sessionIds).length} active sessions`)
})
// Event monitoring - listen to server events
events.on('sessionCreated', ({ protocol, routePath, sessionId }) => {
console.log(`New ${protocol} session: ${sessionId} on ${routePath}`)
})
// Direct server access - modify configuration, add routes, etc.
server.setConfig({ overwrite: { port: 9000 } })
🔄 Migration from v1.3.x
OLD API (v1.3.x):
const routes = [{
includeNamespaces: ['coingecko'],
excludeNamespaces: ['debug'],
activateTags: ['production'],
routePath: '/crypto',
protocol: 'sse',
}]
DeployAdvanced.start({
routes, // ❌ Old parameter
arrayOfSchemas: [...], // ❌ Global array
envObject: process.env
})
NEW API (v1.4.x):
const arrayOfRoutes = [{
routePath: '/crypto', // ✅ Simplified route
protocol: 'sse',
}]
const objectOfSchemaArrays = {
'/crypto': [...] // ✅ Pre-filtered per route
}
DeployAdvanced.start({
arrayOfRoutes, // ✅ New parameter
objectOfSchemaArrays, // ✅ Route-specific schemas
envObject: process.env
})
🔧 Advanced Server Access
Both Deploy.init() and DeployAdvanced.init() return important objects that allow deep customization:
| Object | Deploy (Simple) | DeployAdvanced | Description |
|---|---|---|---|
serverType |
'local' or 'remote' |
'multipleRoutes' |
Server configuration type |
app |
Express app or McpServer | Express app | Server application instance |
mcps |
null (local) or sessions object |
Sessions object | Active MCP connections per route |
events |
null (local) or EventEmitter |
EventEmitter | Event system for monitoring |
argvs |
Parsed CLI arguments | null |
Command-line parameters (Deploy only) |
server |
Not available | RemoteServer instance | Direct server access (DeployAdvanced only) |
💡 Use Cases
- Custom Middleware: Add authentication, logging, rate limiting via
app - Connection Monitoring: Track active sessions via
mcpsandevents - Health Checks: Add custom endpoints for monitoring
- Configuration: Modify server settings via
server(DeployAdvanced) - CLI Integration: Access parsed arguments via
argvs(Deploy)
📌 Compatibility
- FlowMCP Server version:
1.5.0 - FlowMCP Schema spec version:
1.2.2
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.