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Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

AionMCP

kiransth77/aionmcp
2registry active
Summary

This server parses OpenAPI, GraphQL, and AsyncAPI specifications at runtime and converts them into MCP tools without requiring restarts. It includes a self-learning engine that tracks execution patterns and stores insights in BoltDB, plus auto-generates documentation based on actual usage. The architecture supports hot-reloading specs and exposing new endpoints as tools on the fly. Reach for this when you want Claude to interact with APIs defined in standard spec formats, especially in environments where API definitions change frequently. The learning component means it optimizes its own performance over time by analyzing which operations succeed and how long they take.

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AionMCP - Autonomous Go MCP Server

Build Status Success Rate Avg Latency Go Version License

AionMCP is an autonomous Go-based Model Context Protocol (MCP) server that dynamically imports OpenAPI, GraphQL, and AsyncAPI specifications and exposes them as tools to agents. It features self-learning capabilities, context-awareness, and autonomous documentation using Clean/Hexagonal architecture.

🌟 Key Differentiators

  • Multi-Protocol Support: OpenAPI, GraphQL, and AsyncAPI specifications
  • Autonomous Learning: Self-improving system that learns from execution patterns
  • Dynamic Runtime: Hot-reloadable tools without service restart
  • Clean Architecture: Maintainable, testable, and extensible design
  • Auto-Documentation: Self-updating documentation and insights

📊 Project Status

Current Branch: main

Latest Commit: f4f41db

System Health: 99/100 (Excellent)

Active Tools: 3

Commits (7 days): 17

Status updated automatically

✨ Features

📦 What's Included

aionmcp/
├── bin/aionmcp-server              # Main executable
├── cmd/server/                     # Server entry point
├── internal/
│   ├── core/                       # HTTP/gRPC servers & tool registry
│   ├── selflearn/                  # Learning engine & BoltDB storage
│   └── autodocs/                   # Documentation generation
├── pkg/
│   ├── importer/                   # OpenAPI/GraphQL/AsyncAPI parsers
│   ├── agent/                      # Agent registration API
│   └── feedback/                   # Feedback collection
├── vscode-extension/               # VS Code extension
├── docs/                           # Comprehensive documentation
├── examples/specs/                 # Example API specifications
│   ├── petstore.yaml               # OpenAPI 3.0 example
│   ├── blog.graphql                # GraphQL example
│   └── user-events.yaml            # AsyncAPI example
└── go.mod                          # Go dependencies

🚀 Quick Start

# Clone the repository
git clone https://github.com/kiransth77/aionmcp.git
cd aionmcp

# Build the server
go build -o bin/aionmcp cmd/server/main.go

# Run with default configuration
./bin/aionmcp

The server will start on http://localhost:8080 with learning enabled.

🏗️ Architecture

AionMCP follows Clean/Hexagonal Architecture principles:

┌─────────────────────────────────────────────────────────┐
│                    Adapters Layer                      │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐   │
│  │   HTTP      │  │    gRPC     │  │   Plugin    │   │
│  │  Interface  │  │  Interface  │  │  Interface  │   │
│  └─────────────┘  └─────────────┘  └─────────────┘   │
└─────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────┐
│                     Core Layer                         │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐   │
│  │    Tool     │  │  Learning   │  │    Auto     │   │
│  │  Registry   │  │   Engine    │  │    Docs     │   │
│  └─────────────┘  └─────────────┘  └─────────────┘   │
└─────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────┐
│                Infrastructure Layer                    │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐   │
│  │   Storage   │  │   Metrics   │  │   Config    │   │
│  │  (BoltDB)   │  │(Prometheus) │  │   (Viper)   │   │
│  └─────────────┘  └─────────────┘  └─────────────┘   │
└─────────────────────────────────────────────────────────┘

📈 Recent Activity

Recent Commits

  • f4f41db9 fix: clean up TOON package formatting and remove duplicate package declaration (0h ago)
  • 8b97b173 fix: update go-ci.yml to use Go 1.25 to match go.mod requirement (0h ago)
  • ebeeee28 fix: remove redundant newline in fmt.Println to pass linting (0h ago)
  • a91eb5f4 feat: add TOON (Token-Oriented Object Notation) for LLM context optimization (0h ago)
  • bd39bb10 fix: update Dockerfile Go version to 1.25 (0h ago)

Active Insights

📊 Total insights: 2

Activity updated automatically

⚡ Performance Statistics

MetricValueStatus
Success Rate97.0%🟢 Excellent
Avg Latency250.0ms🟡 Good
Total Executions42📊 Tracking
Active Tools3🔧 Running

Statistics updated in real-time

📦 Installation

Prerequisites

  • Go 1.21 or higher
  • Git

From Source

git clone https://github.com/kiransth77/aionmcp.git
cd aionmcp
go mod download
go build -o bin/aionmcp cmd/server/main.go

📚 Usage

Basic Usage

# Start the server
./bin/aionmcp

# With custom configuration
./bin/aionmcp --config config.yaml

# Enable debug logging
AIONMCP_LOG_LEVEL=debug ./bin/aionmcp

API Endpoints

  • GET /api/v1/tools - List available tools
  • POST /api/v1/tools/{tool}/execute - Execute a tool
  • GET /api/v1/learning/stats - Learning statistics
  • GET /api/v1/learning/insights - System insights

🛠️ Development

Access: http://localhost:8080


### Docker
```bash
docker run -p 8080:8080 aionmcp:latest

Cloud (AWS/GCP/Azure)

Deploy the binary to your cloud provider, access via public URL.

Embedded

import "github.com/aionmcp/aionmcp/internal/core"
server := core.NewServer(logger)
server.Start()

🤝 Contributing

Active Insights

📊 Total insights: 2

Activity updated automatically

📄 License

📄 License


README last updated: 2025-11-27 22:47:18 AEST

This README is automatically updated with current project status and metrics.

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UpdatedNov 27, 2025
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