Prism MCP SDK for Rust

prism-mcp-rs is a production-grade Rust SDK for building MCP servers and clients with typed protocol models, multi-transport support, and operational controls for real deployments.

Safety note: core library paths are safe Rust; plugin loading uses a narrow, audited unsafe FFI boundary.

Why prism-mcp-rs

This SDK targets teams that need more than baseline protocol wiring. It combines MCP conformance with reliability, observability, and security defaults expected in enterprise environments.

MCP 2025-11-25 Compliance Snapshot

What Differentiates It

1. Production-first runtime controls: Circuit breakers, adaptive retries, and health checks are part of the SDK, not external glue code.
2. Rust-native typed protocol surface: Strong typing and convenience builders reduce runtime drift from MCP message contracts.
3. Transport flexibility: STDIO, HTTP/SSE, WebSocket, and HTTP/2 support are available under one crate.
4. Supply-chain and quality gates: CI, clippy (-D warnings), security workflows, and audit tooling are built into the project baseline.
5. Optional plugin runtime: Hot-reloadable plugin capabilities for extensible deployments without forcing plugin complexity on all users.

How It Fits with Agent Frameworks

prism-mcp-rs complements orchestration frameworks; it does not replace them.

Use this SDK when your services are in Rust and need deterministic MCP behavior under real operational load.

Detailed Capabilities

1. Advanced Resilience Patterns

• Circuit Breaker Pattern: Automatic failure isolation preventing cascading failures
• Adaptive Retry Policies: Smart backoff with jitter and error-based retry decisions
• Health Check System: Multi-level health monitoring for transport, protocol, and resources
• Graceful Degradation: Automatic fallback strategies when services become unavailable

2. Enterprise Transport Features

• Streaming HTTP/2: Full multiplexing, server push, and flow control support
• Adaptive Compression: Dynamic selection of Gzip, Brotli, or Zstd based on content analysis
• Chunked Transfer Encoding: Efficient handling of large payloads with streaming
• Connection Pooling: Intelligent connection reuse with keep-alive management
• TLS/mTLS Support: Enterprise-grade security with certificate validation

3. Plugin System Architecture

• Hot Reload Support: Update plugins without service interruption
• C ABI Plugin Boundary: Dynamic plugin interface with runtime compatibility checks
• Plugin Isolation: Sandboxed execution with resource limits
• Dynamic Discovery: Runtime plugin loading with dependency resolution
• Lifecycle Management: Automated plugin health monitoring and recovery

4. Protocol Extensions

• Schema Introspection: Complete runtime discovery of server capabilities
• Batch Operations: Efficient bulk request processing with transaction support
• Progressive Content Delivery: Streaming responses for large datasets
• Rich Metadata Support: Comprehensive annotations and capability negotiation
• Custom Method Extensions: Seamless protocol extensibility

5. Production Observability

• Structured Logging: Contextual tracing with correlation IDs
• Metrics Collection: Performance counters, histograms, and gauges
• Distributed Tracing: OpenTelemetry integration for request flow analysis
• Error Forensics: Detailed error context with stack traces and recovery hints

Technical Architecture

Core Components

Performance Characteristics

• Zero-Copy Operations: Minimal memory allocation in hot paths
• Async/Await Runtime: Tokio-based non-blocking I/O
• Connection Multiplexing: Single TCP connection for multiple streams
• Smart Buffering: Adaptive buffer sizing based on throughput
• CPU Affinity: Thread pinning for cache optimization

Installation

Standard Installation

[dependencies]
prism-mcp-rs = "1"
tokio = { version = "1", features = ["full"] }
serde_json = "1.0"
async-trait = "0.1"

Feature Matrix

Advanced Configuration

# High-performance configuration
[dependencies]
prism-mcp-rs = { 
    version = "1", 
    features = ["http2", "compression", "plugin", "auth", "tls"] 
}

# Memory-constrained environments
[dependencies]
prism-mcp-rs = { 
    version = "1", 
    default-features = false,
    features = ["stdio"] 
}

Clean & Simple API

30-Second Server Setup

use prism_mcp_rs::prelude::*;
use std::collections::HashMap;

#[derive(Clone)]
struct SystemToolHandler;

#[async_trait]
impl ToolHandler for SystemToolHandler {
    async fn call(&self, arguments: HashMap<String, Value>) -> McpResult<ToolResult> {
        match arguments.get("tool_name").and_then(|v| v.as_str()) {
            Some("system_info") => {
                let info = format!(
                    "Host: {}, OS: {}", 
                    hostname::get().unwrap_or_default().to_string_lossy(),
                    std::env::consts::OS
                );
                Ok(ToolResult {
                    content: vec![ContentBlock::text(&info)],
                    is_error: Some(false),
                    meta: None,
                    structured_content: None,
                })
            },
            _ => Err(McpError::invalid_request("Unknown tool"))
        }
    }
}

#[tokio::main]
async fn main() -> McpResult<()> {
    let mut server = McpServer::new(
        "system-server".to_string(), 
        "1.0.0".to_string()
    );
    
    // Add the system_info tool using the async add_tool method
    server.add_tool(
        "system_info",
        Some("Get system information"),
        json!({"type": "object", "properties": {}}),
        SystemToolHandler,
    ).await?;
    // Start server with STDIO transport
    let transport = StdioServerTransport::new();
    server.start(transport).await
}

Enterprise-Grade Client

use prism_mcp_rs::prelude::*;
use prism_mcp_rs::transport::StdioClientTransport;

let transport = StdioClientTransport::new("./server");
let client = McpClient::new(
    "test-client".to_string(),
    "1.0.0".to_string()
);

client.initialize().await?;
client.set_transport(Box::new(transport)).await?;

// Make requests to the server
let tools_response = client.list_tools(None, None).await?;
let tool_result = client.call_tool(
    "system_info".to_string(),
    json!({})
).await?;

println!("Available tools: {:?}", tools_response);
println!("Tool result: {:?}", tool_result);

Hot-Reloadable Plugins

use prism_mcp_rs::prelude::*;
use prism_mcp_rs::plugin::*;
use std::any::Any;

struct WeatherPlugin {
    api_key: String,
}

#[async_trait]
impl ToolPlugin for WeatherPlugin {
    fn metadata(&self) -> PluginMetadata {
        PluginMetadata {
            id: "weather-plugin".to_string(),
            name: "Weather Plugin".to_string(),
            version: "1.0.0".to_string(),
            author: Some("Example Author".to_string()),
            description: Some("Provides weather information".to_string()),
            homepage: None,
            license: Some("MIT".to_string()),
            mcp_version: "1.1.0".to_string(),
            capabilities: PluginCapabilities::default(),
            dependencies: vec![],
        }
    }

    fn tool_definition(&self) -> Tool {
        Tool::new(
            "get_weather".to_string(),
            Some("Get weather information for a location".to_string()),
            json!({
                "type": "object",
                "properties": {
                    "location": {"type": "string", "description": "Location to get weather for"}
                },
                "required": ["location"]
            }),
            EchoTool // Placeholder - would use actual weather handler
        )
    }

    async fn execute(&self, arguments: Value) -> McpResult<ToolResult> {
        let location = arguments["location"].as_str().unwrap_or("Unknown");
        let weather_data = json!({
            "location": location,
            "temperature": "22°C",
            "condition": "Sunny"
        });
        
        Ok(ToolResult {
            content: vec![ContentBlock::text(&format!("Weather in {}: {}", location, weather_data))],
            is_error: Some(false),
            meta: None,
            structured_content: Some(weather_data),
        })
    }

    fn as_any(&self) -> &dyn Any {
        self
    }
}

// Runtime plugin management
let mut plugin_manager = PluginManager::new();
plugin_manager.reload_plugin("weather_plugin").await?; // Hot reload support

Architectural Innovations

Zero-Configuration Service Discovery

Automatic capability negotiation and runtime schema introspection eliminates manual configuration:

// Client connects and discovers server capabilities
let transport = StdioClientTransport::new("./server");
let client = McpClient::new("discovery-client".to_string(), "1.0.0".to_string());

client.initialize().await?;
client.set_transport(Box::new(transport)).await?;

// Discover server capabilities through initialization
let server_info = client.get_server_info().await?;
println!("Server capabilities: {:?}", server_info.capabilities);

Fault-Tolerant by Design

Built-in resilience patterns prevent cascading failures in distributed AI systems:

// Basic tool call with proper error handling
let result = match client.call_tool("analyze".to_string(), data).await {
    Ok(result) => result,
    Err(e) => {
        eprintln!("Tool call failed: {}", e);
        // Implement your own fallback logic here
        return Err(e);
    }
};

Plugin Ecosystem Revolution

Hot-swappable plugins with ABI stability across Rust versions:

// Plugin lifecycle management
plugin_manager.unload_plugin("analyzer_v1").await?;
plugin_manager.load_plugin("analyzer_v2.so").await?;
// Plugin health monitoring
let health = plugin_manager.check_plugin_health("analyzer_v2").await?;

New Use Cases Enabled

Multi-Agent AI Orchestration

Combine multiple AI services with automatic failover and load balancing.

Enterprise Integration Hubs

Connect legacy systems to modern AI tools with protocol translation and security policies.

Real-Time AI Pipelines

Build streaming data processing pipelines with sub-millisecond latency guarantees.

Federated AI Networks

Create distributed AI service meshes with automatic service discovery and routing.

Edge AI Deployment

Deploy AI capabilities to edge devices with offline-first architecture and smart sync.

Production-Ready Performance

Security & Supply Chain

🔒 Security-First Design

• Memory Safety: 100% safe Rust with minimal unsafe blocks (only in plugin FFI)
• TLS 1.3: Modern encryption with rustls and ring cryptography
• Supply Chain Security: Comprehensive dependency auditing with cargo-audit, cargo-deny, and cargo-vet
• Vulnerability Monitoring: Automated security scans and dependency updates
• License Compliance: All dependencies verified against approved open-source licenses

🛡️ Security Features

• Authentication: JWT tokens with configurable expiration and refresh
• Authorization: Role-based access control with fine-grained permissions
• Input Validation: Comprehensive request validation and sanitization
• Rate Limiting: Configurable request throttling and DDoS protection
• Audit Logging: Security event logging with structured output

📊 Supply Chain Transparency

• Dependencies: 379 crates, all security-audited
• Vulnerabilities: Zero known security vulnerabilities
• License Review: MIT-compatible licensing across entire dependency tree
• Update Frequency: Weekly automated security audits and monthly dependency updates
• Audit Trail: Complete supply chain verification with Mozilla import chain

🔧 Security Tools

# Run security audit
./scripts/security-audit.sh

# Update dependencies safely
./scripts/update-dependencies.sh

# Check supply chain status
cargo vet check
cargo deny check all
cargo audit

Documentation

📚 Getting Started

• Quick Start Guide - Installation, setup, and first steps
• AI Tool Integration - Connect to Claude, Cursor, VS Code, Windsurf
• Configuration Examples - Ready-to-use configuration templates
• API Reference - Complete API documentation

🚀 Deployment & Production

• Deployment Guide - Production deployment strategies
• Troubleshooting Guide - Common issues and solutions

🏗️ Development Guides

• Architecture Guide - System design and components
• Plugin Development - Building custom plugins
• Plugin Types Reference - Detailed component specifications
• Error Handling - Comprehensive error management patterns
• Performance Tuning - Optimization strategies
• Authentication Guide - Authentication and authorization
• Development Setup - Development environment and workflows

🔄 Migration & Updates

• Migration Guide - Migrating from other MCP implementations
• Changelog - Version history and breaking changes

🔒 Security & Policies

• Security Policy - Vulnerability reporting and security practices

Contributing

Contributions are welcome! Please review our Contributing Guidelines and Code of Conduct.

See our Contributors for a list of everyone who has contributed to this project.

License

MIT License - see LICENSE for details.

Support

• GitHub Issues: Bug Reports & Feature Requests
• Discord: Community Support
• Email: developers@prismworks.ai