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project-overview — how to use project-overview how to use project-overview, project-overview alternative, project-overview install, what is project-overview, project-overview vs CloudWeGo, project-overview setup guide, Model Context Protocol server management, MCP Gateway optimization, elastic orchestrator for MCP servers

v1.0.0
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About this Skill

Ideal for Model Context Protocol Agents requiring elastic runtime management and unified routing for multiple MCP servers. project-overview is a lightweight elastic orchestrator for Model Context Protocol servers, enabling on-demand startup and scale-to-zero hibernation.

Features

Elastic runtime with automatic instance lifecycle management
Unified gateway (mcpvmcp) providing single entry point for all MCP servers
Smart SubAgent powered by CloudWeGo/Eino for context-aware tool filtering
Supports scale-to-zero hibernation for efficient resource management
Provides on-demand startup for flexible MCP server deployment
Enables unified routing for simplified MCP server management

# Core Topics

wibus-wee wibus-wee
[0]
[0]
Updated: 3/6/2026

Quality Score

Top 5%
39
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add wibus-wee/mcpv/project-overview

Agent Capability Analysis

The project-overview MCP Server by wibus-wee is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use project-overview, project-overview alternative, project-overview install.

Ideal Agent Persona

Ideal for Model Context Protocol Agents requiring elastic runtime management and unified routing for multiple MCP servers.

Core Value

Empowers agents to manage MCP servers with automatic instance lifecycle management, unified gateway via mcpvmcp, and intelligent tool filtering powered by CloudWeGo/Eino, leveraging the Model Context Protocol for seamless interactions.

Capabilities Granted for project-overview MCP Server

Automating MCP server startup and hibernation
Unifying routing for multiple MCP servers
Filtering tools with context-aware SubAgents

! Prerequisites & Limits

  • Requires local MCP server setup
  • Dependent on CloudWeGo/Eino for SubAgent functionality
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mcpd Project Overview

mcpd is an elastic control plane and runtime for Model Context Protocol (MCP) servers. It provides on-demand startup, scale-to-zero hibernation, unified routing, and intelligent tool filtering for managing multiple MCP servers locally.

Key Capabilities

  • Elastic runtime with automatic instance lifecycle management
  • Unified gateway (mcpvmcp) providing single entry point for all MCP servers
  • Smart SubAgent powered by CloudWeGo/Eino for context-aware tool filtering
  • GUI support (mcpvui) built with Wails 3 for configuration and monitoring
  • Profile-based configuration with tag-based visibility
  • Native observability with Prometheus metrics and Grafana dashboards

Architecture

Three-layer architecture for maximum decoupling:

  1. Core (mcpv): Central control plane managing instance lifecycles, scheduling, and aggregation
  2. Gateway (mcpvmcp): Protocol bridge acting as standard MCP server for AI clients
  3. App (mcpvui): Wails-driven GUI for configuration, monitoring, and core lifecycle hosting

Internal Structure

  • internal/domain/: Domain models and interfaces (ServerSpec, Instance, Transport, Scheduler, Router, etc.)
  • internal/app/: Application glue layer with explicit subpackages:
    • controlplane/: Control plane facade, registry/discovery/observability/automation, reload application
    • bootstrap/: Bootstrap and server initialization management
    • catalog/: Catalog providers and state loading
    • runtime/: Runtime indexes and aggregation state
  • internal/infra/: Infrastructure adapters organized by concern:
    • catalog/: Configuration loading and validation
    • scheduler/: Instance lifecycle and capacity constraints coordination
    • lifecycle/: Instance startup, handshake, and shutdown management
    • router/: Request routing to managed MCP server instances
    • transport/: stdio and streamable HTTP transport implementations
    • aggregator/: Tool/resource/prompt aggregation and indexing
    • gateway/: MCP gateway client manager and registry
    • subagent/: Eino-based intelligent tool filtering
    • telemetry/: Prometheus metrics and health checks
    • rpc/: gRPC server and client for core-gateway communication
  • internal/ui/: Wails bridge layer exposing core functionality to GUI

Configuration

Configuration is YAML-based with a single file per profile. See docs/catalog.example.yaml or runtime.yaml for reference.

Key Configuration Sections:

  • servers[]: MCP server definitions with transport, command, tags, lifecycle settings
  • subAgent: Eino-based tool filtering configuration (model, provider, API key, enabled tags)
  • observability: Prometheus metrics endpoint configuration
  • rpc: gRPC server configuration for core-gateway communication
  • Runtime settings: timeouts, concurrency limits, retry policies, bootstrap behavior

Server Configuration Example:

yaml
1servers: 2 - name: my-server 3 transport: stdio 4 cmd: [node, ./path/to/server.js] 5 tags: [chat] 6 idleSeconds: 60 7 maxConcurrent: 1 8 strategy: stateless 9 activationMode: on-demand 10 protocolVersion: "2025-11-25"

Profile System:

  • Multiple profiles supported with caller-to-profile mapping
  • Default profile used as fallback
  • Tag-based visibility: clients see only servers matching their tags

Transport Types and Activation Modes

Transport Types

stdio (most common):

  • Launches subprocess and communicates via stdin/stdout
  • Suitable for Node.js, Python, and other scripting languages
  • Process lifecycle managed by mcpv

streamable_http:

  • Connects to HTTP endpoint with Server-Sent Events (SSE) streaming
  • Suitable for long-running HTTP services
  • No process management needed

composite:

  • Advanced use case combining multiple transports
  • Rarely needed

Activation Modes

on-demand (default):

  • Instances start when first request arrives
  • Ideal for resource efficiency
  • Cold start latency on first request

always-on:

  • Keeps minReady instances running at all times
  • Use for latency-sensitive servers
  • Higher resource usage

disabled:

  • Server defined but not activated
  • Useful for testing or staged rollouts

Server Strategies

stateless:

  • Requests can be routed to any available instance
  • Instances can be freely started/stopped
  • Most common and efficient

stateful:

  • Router maintains sticky sessions
  • Requests from same client go to same instance
  • Session expires after client inactivity timeout

Gateway Behavior

The mcpvmcp gateway:

  • Registers with core on startup via gRPC
  • Maintains persistent connection to core
  • Translates MCP JSON-RPC to core's internal protocol
  • Handles tool/resource/prompt aggregation
  • Supports both single-server and tag-based modes

Flags

  • --config: Specify config directory (default: current directory)
  • --rpc: Override RPC address for gateway
  • --tag: Filter servers by tag in gateway mode
  • --server: Single-server mode for gateway

Key Technical Details

Hot Reload

The core watches the config directory for changes and automatically reloads:

  • Server spec additions/removals
  • Configuration updates
  • Profile changes
  • Active instances are gracefully drained before applying changes

Concurrency Control

  • maxConcurrent: Maximum parallel requests per instance
  • minReady: Minimum instances to keep warm
  • Scheduler spawns new instances when capacity is reached
  • Instances are reused across requests (connection pooling)

Tool Namespace Strategy

To avoid tool name collisions across servers:

  • prefix: Tools named as server__toolname (default)
  • suffix: Tools named as toolname__server

Bootstrap Modes

  • metadata: Only fetch server metadata (tools/resources/prompts) on startup
  • full: Perform full initialization including handshake
  • none: Skip bootstrap entirely

Scale-to-Zero Runtime

Instances are launched on-demand and shut down after idle timeout:

  • Scheduler manages instance pools with concurrency limits
  • Router maintains session affinity for stateful servers
  • Lifecycle manager handles startup, handshake, and graceful shutdown
  • Probe system monitors instance health

Tool Aggregation

The aggregator maintains a unified index across all active instances:

  • Automatic refresh on list_changed notifications
  • Concurrent refresh workers with rate limiting
  • Namespace strategy (prefix or suffix) to avoid tool name collisions
  • Supports tools, resources, and prompts

Version Information

  • Go: 1.25+
  • Wails: 3.0.0-alpha.53
  • MCP SDK: github.com/modelcontextprotocol/go-sdk v1.2.0
  • Eino: github.com/cloudwego/eino v0.7.15
  • Prometheus: github.com/prometheus/client_golang v1.23.2

Additional Resources

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