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vreko-dev

SnapBack MCP Server

by vreko-dev

What is Vreko MCP Server?

Vreko MCP Server is a Model Context Protocol (MCP) server that gives AI coding agents a session memory and intelligence layer. It enables Claude, Cursor, Windsurf, and any MCP-compatible assistant to:

  • Brief themselves before every task - past learnings, active warnings, risk context

  • Check vitals mid-session - activity level, risk pressure, trajectory

  • Capture discoveries - patterns, gotchas, and decisions that carry forward to future sessions

  • Close with ceremony - session outcome recorded, compound intelligence grows

Key Capabilities:

Feature

Description

Session Intelligence

vrekovreko_pulsevreko_learnvreko_end - the agentic coding loop

Pattern Memory

Learns your codebase’s specific failure modes over time

Multi-Assistant Support

Works with Claude, Cursor, Windsurf, and any MCP-compatible client

Cloud & Local Modes

Deploy to Fly.io or run locally via CLI

Security-First

API key validation, path traversal protection, CORS security


Related MCP server: FastApply MCP Server

Quick Start

1. Install

Option A: npx (No Installation)

npx vreko-mcp-server

Option B: Global Install

npm install -g vreko-mcp-server
vreko-mcp-server

Option C: Docker

docker run -p 8080:8080 -e VREKO_API_KEY=your_key vreko/mcp-server

2. Configure Your AI Assistant

Claude Desktop Config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "vreko": {
      "command": "npx",
      "args": ["vreko-mcp-server"],
      "env": {
        "VREKO_API_KEY": "YOUR_VREKO_API_KEY"
      }
    }
  }
}

Cursor Config (Settings → MCP):

{
  "mcpServers": {
    "vreko": {
      "command": "npx",
      "args": ["vreko-mcp-server"],
      "env": {
        "VREKO_API_KEY": "YOUR_VREKO_API_KEY"
      }
    }
  }
}

3. Verify Installation

# Health check
curl http://localhost:8080/health

# Expected response:
{"status":"healthy","version":"1.0.0","timestamp":"2026-01-..."}

Architecture

Wraps the CLI-based MCP server (packages/mcp) in an Express HTTP server that can be deployed to Fly.io or other cloud providers. This allows Claude Desktop, Cursor, and other AI tools to connect to Vreko over HTTPS instead of requiring local installation.

┌─────────────────────────────────────────────────────────────┐
│                    AI Assistant Clients                      │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────────┐  │
│  │Claude Desktop│  │    Cursor    │  │  Other MCP Tools │  │
│  └──────┬───────┘  └──────┬───────┘  └────────┬─────────┘  │
└─────────┼─────────────────┼───────────────────┼────────────┘
          │                 │                   │
          └─────────────────┼───────────────────┘
                            ▼ HTTPS
┌─────────────────────────────────────────────────────────────┐
│                    apps/mcp-server                           │
│  ┌────────────────────────────────────────────────────────┐ │
│  │  Express HTTP Server  •  API Key Auth  •  CORS         │ │
│  │  • Request Validation  •  Error Handling  •  Logging   │ │
│  └────────────────────┬───────────────────────────────────┘ │
└───────────────────────┼─────────────────────────────────────┘
                        ▼ Stdio
┌─────────────────────────────────────────────────────────────┐
│                    packages/mcp                              │
│  ┌────────────────────────────────────────────────────────┐ │
│  │  MCP Protocol Handler  •  Tool Registry  •  Context    │ │
│  └────────────────────┬───────────────────────────────────┘ │
└───────────────────────┼─────────────────────────────────────┘
                        ▼
┌─────────────────────────────────────────────────────────────┐
│                    Vreko Platform                         │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────────┐  │
│  │Pattern Memory│  │  Snapshot    │  │   Intelligence   │  │
│  │   Engine     │  │   Engine     │  │     Layer        │  │
│  └──────────────┘  └──────────────┘  └──────────────────┘  │
└─────────────────────────────────────────────────────────────┘

Component Responsibilities

Component

Responsibility

HTTP Server

Handles HTTPS requests, authentication, request/response formatting

MCP Protocol

Implements Model Context Protocol spec, tool registration, JSON-RPC

Vreko Core

Pattern analysis, snapshot management, learning capture

Local Development

Build

pnpm build

Run

# Development
PORT=8080 NODE_ENV=development node dist/index.js

# With API key
VREKO_API_KEY=YOUR_VREKO_API_KEY PORT=8080 node dist/index.js

Test Health

curl http://localhost:8080/health

Test MCP Call

# Initialize MCP session (standard JSON-RPC initialize handshake)
curl -X POST http://localhost:8080/mcp \
  -H "Content-Type: application/json" \
  -H "x-workspace-path: /path/to/your/project" \
  -H "x-api-key: YOUR_VREKO_API_KEY" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'

Deployment to Fly.io

From the monorepo root:

# Full deployment with pre-flight checks and verification
pnpm --filter=vreko-mcp-server deploy

# Dry run (validates without deploying)
pnpm --filter=vreko-mcp-server deploy:dry-run

The deploy script automatically:

  • ✅ Validates Fly CLI is installed and authenticated

  • ✅ Checks for uncommitted changes

  • ✅ Builds and validates the bundle

  • ✅ Deploys to Fly.io

  • ✅ Verifies health and /bridge/push endpoints after deployment

Alternative Deploy Methods

# Quick deploy (skips pre-flight checks)
pnpm --filter=vreko-mcp-server deploy:quick

# Force immediate deployment (no rolling update)
pnpm --filter=vreko-mcp-server deploy:force

# Check deployment status
pnpm --filter=vreko-mcp-server deploy:status

# View live logs
pnpm --filter=vreko-mcp-server deploy:logs

# View releases for rollback
pnpm --filter=vreko-mcp-server deploy:rollback

First-Time Setup

If deploying for the first time:

# 1. Login to Fly.io
fly auth login

# 2. Create the app (only once)
fly apps create vreko-mcp

# 3. Set secrets
fly secrets set VREKO_API_KEY=YOUR_VREKO_API_KEY -a vreko-mcp
fly secrets set CORS_ORIGIN=https://your-domain.com -a vreko-mcp

# 4. Deploy
pnpm --filter=vreko-mcp-server deploy

CI/CD Deployment

Automatic deployments are triggered on push to main when changes are detected in:

  • apps/mcp-server/**

  • packages/mcp/**, packages/core/**, packages/intelligence/**

Required GitHub Secret: FLY_API_TOKEN

Generate a token: fly tokens create deploy -x 999999h

Verify Deployment

# Health check
curl https://vreko-mcp.fly.dev/health

# Bridge endpoint test
curl -X POST https://vreko-mcp.fly.dev/bridge/push \
  -H "Content-Type: application/json" \
  -d '{"workspaceId":"ws_00000000000000000000000000000000","observations":[]}'

Expected responses:

{"status":"healthy","uptime":123.456,"timestamp":"2025-01-06T...","version":"1.0.0"}
{"received":true,"observationsCount":0,"changesCount":0}

Rollback

If something goes wrong:

# List recent releases
fly releases -a vreko-mcp

# Rollback to a previous version
fly releases rollback v123 -a vreko-mcp

Configuration

Environment Variables

Variable

Default

Description

PORT

8080

Server port

NODE_ENV

development

Environment (production/development)

VREKO_API_KEY

(required)

API key for authentication

CORS_ORIGIN

*

Allowed CORS origins (comma-separated)

LOG_LEVEL

info

Logging level

Fly.io Secrets

Set via fly secrets set KEY=value:

fly secrets set VREKO_API_KEY=YOUR_VREKO_API_KEY
fly secrets set CORS_ORIGIN=https://your-app.com

View secrets:

fly secrets list

The V2 Agentic Workflow

Vreko MCP exposes a 4-tool session API designed for the agentic coding loop. Configure once, and your AI assistant uses it automatically:

Tool

When

What it does

vreko

Task start

Returns intelligence briefing: recent learnings, active warnings, session lineage

vreko_pulse

Mid-session

Read-only vitals: pulse level, risk pressure, trajectory

vreko_learn

Any discovery

Records a pattern, gotcha, or decision for future sessions

vreko_end

Task complete

Closes session with ceremony - outcome, carry-forward context

vreko({ task: "add rate limiting to API" })
  → briefing: 3 past learnings, 1 active warning, lineage from last session

  [... agent works ...]

vreko_pulse()
  → pulse: racing, pressure: 71%, trajectory: increasing  -  snapshot recommended

vreko_learn({ insight: "rate limiting config is shared  -  test in staging first" })

vreko_end({ outcome: "completed" })
  → ceremony: 4 files modified, 1 learning captured, context carried forward

The full consolidated surface is also available: check, advise, guide, safe_to_write, intelligence and refactoring tools. See MCP documentation →


API Reference

GET /health

Health check endpoint.

Response:

{
  "status": "healthy",
  "uptime": 123.456,
  "timestamp": "2024-12-30T...",
  "version": "1.0.0"
}

POST /mcp

Main MCP endpoint - handles standard JSON-RPC 2.0 requests per the MCP protocol spec.

Headers:

x-workspace-path: /absolute/path/to/project
x-api-key: YOUR_VREKO_API_KEY
mcp-session-id: (returned from initialize, required for subsequent calls)

Example - initialize session:

{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"my-client","version":"1.0"}}}

Response: Standard JSON-RPC 2.0 response. The mcp-session-id header in the response must be included in all subsequent requests.

Security

  • Authentication: Required apiKey parameter (validated against VREKO_API_KEY)

  • HTTPS Only: Fly.io auto-configures HTTPS on port 443

  • CORS: Configurable via CORS_ORIGIN environment variable

  • Non-root user: Container runs as unprivileged user

  • Request timeouts: 30-second timeout on MCP calls

  • Rate limiting: Consider adding in production (not yet implemented)

Monitoring

Logs

fly logs

Metrics

# CPU/Memory usage
fly scale show

# App status
fly status

Scaling

Edit fly.toml:

[scaling]
min_count = 1
max_count = 5

Then deploy:

fly deploy

Troubleshooting

"Connection refused"

Ensure Fly.io app is running:

fly status

"Unauthorized"

Check that API key is set:

fly secrets list

Should show VREKO_API_KEY.

"MCP server timeout"

Default timeout is 30 seconds. Check workspace size and API key validity.

Logs show errors

View detailed logs:

fly logs --follow

Integration with VS Code Extension

Quick Setup (2 steps)

  1. Get your API key from deployment output (look for YOUR_VREKO_API_KEY)

  2. Configure VS Code settings:

{
  "vreko.mcp.enabled": true,
  "vreko.mcp.serverUrl": "https://vreko-mcp.fly.dev",
  "vreko.mcp.authType": "apikey"
}
  1. Store your API key securely using VS Code command palette:

    • Press Cmd+Shift+P / Ctrl+Shift+P

    • Run: Vreko: Set MCP Auth Token (Secure)

    • Paste your API key: YOUR_VREKO_API_KEY

Configuration Options

Setting

Default

Description

vreko.mcp.enabled

true

Enable MCP integration

vreko.mcp.serverUrl

https://mcp.vreko.dev

Remote MCP server URL

vreko.mcp.authType

bearer

Authentication type (bearer or apikey)

vreko.mcp.timeout

5000

Request timeout in milliseconds

Programmatic Usage

The VS Code extension automatically uses RemoteMCPClient when serverUrl is configured:

const client = new RemoteMCPClient({
  serverUrl: 'https://vreko-mcp.fly.dev',
  apiKey: 'YOUR_VREKO_API_KEY',
  authType: 'apikey',
  timeout: 5000,
  maxRetries: 3,
});

await client.connect();

See apps/vscode/src/services/RemoteMCPClient.ts for implementation details.

Health Check

Verify the server is accessible:

curl https://vreko-mcp.fly.dev/health

Expected response:

{"status":"healthy","uptime":123.45,"timestamp":"2025-12-31T...","version":"1.0.0"}

Cost

Fly.io free tier includes:

  • 3 shared-cpu-1x VMs (256MB each)

  • 160GB bandwidth/month

This MCP server easily fits within free tier for individual/small team use.

Status

Metric

Value

Version

3.1.0

License

Apache-2.0

Status

Production Ready

Node.js

>= 20.0.0

References


A
license - permissive license
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

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