allframe-mcp

MCP (Model Context Protocol) Server for AllFrame

Expose your AllFrame APIs as LLM-callable tools using the Model Context Protocol.

What is MCP?

The Model Context Protocol (MCP) is an open standard by Anthropic that enables AI assistants like Claude to safely interact with external data sources and tools. allframe-mcp automatically converts your AllFrame router handlers into MCP tools that LLMs can discover and call.

Features

• Automatic Tool Discovery - Handlers become callable tools automatically
• Type-Safe Integration - Leverages AllFrame's router architecture
• Zero Configuration - Works out of the box with any AllFrame router
• Flexible Deployment - Library-first design for maximum flexibility
• OpenAPI Integration - Converts OpenAPI schemas to JSON Schema for tools

Installation

Add to your Cargo.toml:

[dependencies]
allframe-core = "0.1"
allframe-mcp = "0.1"
tokio = { version = "1.48", features = ["full"] }

Quick Start with Claude Desktop

Follow these steps to create an MCP server that Claude Desktop can use:

Step 1: Create a new project

cargo new my-mcp-server
cd my-mcp-server

Step 2: Add dependencies to Cargo.toml

[package]
name = "my-mcp-server"
version = "0.1.0"
edition = "2021"

[dependencies]
allframe-core = "0.1"
allframe-mcp = "0.1"
tokio = { version = "1.48", features = ["full"] }
serde_json = "1.0"

Step 3: Create your MCP server (src/main.rs)

use allframe_core::router::Router;
use allframe_mcp::{init_tracing, McpServer, StdioConfig, StdioTransport};

#[tokio::main]
async fn main() {
    // Initialize tracing for debug logging (optional)
    init_tracing();

    // Create router with your tools
    let mut router = Router::new();

    router.register("greet", || async {
        r#"{"message": "Hello from AllFrame MCP!"}"#.to_string()
    });

    router.register("get_weather", || async {
        r#"{"temp": 72, "conditions": "sunny"}"#.to_string()
    });

    // Create MCP server
    let mcp = McpServer::new(router);

    // Configure and run the stdio transport
    let config = StdioConfig::default()
        .with_debug_tool(true)  // Enable allframe/debug diagnostics tool
        .with_server_name("my-mcp-server");

    StdioTransport::new(mcp, config).serve().await;
}

Step 4: Build the server

cargo build --release

Step 5: Configure Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "my-mcp-server": {
      "command": "/path/to/my-mcp-server/target/release/my-mcp-server",
      "args": []
    }
  }
}

Step 6: Restart Claude Desktop

Quit and reopen Claude Desktop. Your tools will now be available!

---

Quick Start with Claude Code (CLI)

Claude Code uses a different configuration system than Claude Desktop. Follow these steps:

Step 1: Build your MCP server

# From your project directory
cargo build --release

# Note the full path to your binary:
# /path/to/your/project/target/release/my-mcp-server

Step 2: Add to .mcp.json in your project root

Create or edit .mcp.json in your project directory:

{
  "mcpServers": {
    "my-mcp-server": {
      "command": "/absolute/path/to/target/release/my-mcp-server",
      "args": [],
      "env": {
        "ALLFRAME_MCP_DEBUG": "1"
      }
    }
  }
}

Important: Use the absolute path to your compiled binary.

Step 3: Enable the server in Claude Code settings

Edit .claude/settings.local.json in your project directory:

{
  "enableAllProjectMcpServers": true,
  "enabledMcpjsonServers": [
    "my-mcp-server"
  ]
}

Or if you have existing servers, add to the array:

{
  "enabledMcpjsonServers": [
    "my-mcp-server",
    "playwright",
    "other-servers"
  ]
}

Step 4: Restart Claude Code

Run /mcp in Claude Code to reconnect, or restart Claude Code entirely. Your tools will now be available.

Using the AllFrame Example Server

To use the built-in example server from the AllFrame repository:

# Clone and build
git clone https://github.com/all-source-os/all-frame
cd all-frame
cargo build --example mcp_stdio_server -p allframe-mcp --release

# The binary is at:
# ./target/release/examples/mcp_stdio_server

Then configure .mcp.json:

{
  "mcpServers": {
    "allframe": {
      "command": "/path/to/all-frame/target/release/examples/mcp_stdio_server",
      "args": [],
      "env": {
        "ALLFRAME_MCP_DEBUG": "1"
      }
    }
  }
}

And .claude/settings.local.json:

{
  "enableAllProjectMcpServers": true,
  "enabledMcpjsonServers": ["allframe"]
}

Troubleshooting Claude Code

If the MCP server fails to connect:

1. Check the binary exists and is executable:

   ls -la /path/to/target/release/my-mcp-server
   

2. Test the server manually:

   echo '{"jsonrpc":"2.0","method":"initialize","params":{},"id":1}' | \
       /path/to/target/release/my-mcp-server
   

3. Check for debug output (if ALLFRAME_MCP_DEBUG=1):

   • Look in the Claude Code output panel
   • Or set ALLFRAME_MCP_LOG_FILE to log to a file

4. Verify configuration files exist:

   cat .mcp.json
   cat .claude/settings.local.json
   

5. Run /mcp in Claude Code to see server status and reconnect

---

Debugging

Environment Variables

Enable debug logging with environment variables in your Claude Desktop config:

{
  "mcpServers": {
    "my-mcp-server": {
      "command": "/path/to/my-mcp-server/target/release/my-mcp-server",
      "args": [],
      "env": {
        "ALLFRAME_MCP_DEBUG": "1",
        "ALLFRAME_MCP_LOG_FILE": "/tmp/allframe-mcp.log"
      }
    }
  }
}

Variable	Description
ALLFRAME_MCP_DEBUG	Enable debug output to stderr
ALLFRAME_MCP_LOG_FILE	Write logs to a file instead of stderr
RUST_LOG	Set log level when using the tracing feature (e.g., debug, info)

Built-in Debug Tool

Enable the allframe/debug tool to get server diagnostics from Claude:

let config = StdioConfig::default()
    .with_debug_tool(true);

When enabled, Claude can call allframe/debug to get:

• Server name and version
• Uptime and request count
• Tool count and PID
• Build information

Testing Manually

Test your MCP server from the command line:

# Test initialize
echo '{"jsonrpc":"2.0","method":"initialize","params":{},"id":1}' | \
    ./target/release/my-mcp-server

# Test tools/list
echo '{"jsonrpc":"2.0","method":"tools/list","params":{},"id":2}' | \
    ./target/release/my-mcp-server

# Test a tool call
echo '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"greet","arguments":{}},"id":3}' | \
    ./target/release/my-mcp-server

Tracing Feature

For structured logging with tracing, build with the tracing feature:

[dependencies]
allframe-mcp = { version = "0.1", features = ["tracing"] }

Then set RUST_LOG for log level control:

RUST_LOG=debug ALLFRAME_MCP_LOG_FILE=/tmp/mcp.log ./my-mcp-server

---

Programmatic Usage

use allframe_core::router::Router;
use allframe_mcp::McpServer;

#[tokio::main]
async fn main() {
    // Create AllFrame router
    let mut router = Router::new();

    // Register handlers
    router.register("get_user", |user_id: String| async move {
        format!("User: {}", user_id)
    });

    router.register("create_order", |product: String| async move {
        format!("Order created for: {}", product)
    });

    // Create MCP server from router
    let mcp = McpServer::new(router);

    // List available tools
    let tools = mcp.list_tools().await;
    println!("Available tools: {}", tools.len());

    // Call a tool
    let result = mcp.call_tool(
        "get_user",
        serde_json::json!({"user_id": "123"})
    ).await;

    println!("Result: {:?}", result);
}

Usage Patterns

Pattern 1: Standalone MCP Server

Create a dedicated MCP server binary:

// src/main.rs
use allframe_core::router::Router;
use allframe_mcp::McpServer;
use std::io::{stdin, stdout, BufRead, Write};

#[tokio::main]
async fn main() {
    // Build router from config/database/etc.
    let mut router = Router::new();
    router.register("get_user", get_user_handler);
    router.register("create_order", create_order_handler);

    // Create MCP server
    let mcp = McpServer::new(router);

    // Implement stdio transport for Claude Desktop
    serve_stdio(mcp).await;
}

async fn serve_stdio(mcp: McpServer) {
    let stdin = stdin();
    let mut stdout = stdout();

    for line in stdin.lock().lines() {
        let line = line.unwrap();
        let request: serde_json::Value = serde_json::from_str(&line).unwrap();

        let response = match request["method"].as_str() {
            Some("tools/list") => {
                let tools = mcp.list_tools().await;
                serde_json::json!({"tools": tools})
            }
            Some("tools/call") => {
                let name = request["params"]["name"].as_str().unwrap();
                let args = &request["params"]["arguments"];
                let result = mcp.call_tool(name, args.clone()).await;
                serde_json::json!({"result": result})
            }
            _ => serde_json::json!({"error": "Unknown method"})
        };

        writeln!(stdout, "{}", serde_json::to_string(&response).unwrap()).unwrap();
        stdout.flush().unwrap();
    }
}

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

{
  "mcpServers": {
    "my-api": {
      "command": "/path/to/your/mcp-server",
      "args": []
    }
  }
}

Pattern 2: Embedded in Web Application

Integrate MCP into an existing Axum web server:

use axum::{Router as AxumRouter, routing::{get, post}, Json};
use allframe_core::router::Router;
use allframe_mcp::McpServer;
use std::sync::Arc;

#[tokio::main]
async fn main() {
    // AllFrame router for business logic
    let mut af_router = Router::new();
    af_router.register("get_user", get_user_handler);
    af_router.register("create_order", create_order_handler);

    // MCP server exposes AllFrame handlers as tools
    let mcp = Arc::new(McpServer::new(af_router));

    // Axum web server with both regular API and MCP endpoints
    let app = AxumRouter::new()
        .route("/api/users/:id", get(get_user_http))
        .route("/api/orders", post(create_order_http))
        .route("/mcp/tools", get({
            let mcp = Arc::clone(&mcp);
            move || async move { list_mcp_tools(mcp).await }
        }))
        .route("/mcp/call", post({
            let mcp = Arc::clone(&mcp);
            move |body| async move { call_mcp_tool(mcp, body).await }
        }));

    // Start server
    let listener = tokio::net::TcpListener::bind("0.0.0.0:3000")
        .await
        .unwrap();
    axum::serve(listener, app).await.unwrap();
}

async fn list_mcp_tools(mcp: Arc<McpServer>) -> Json<Vec<allframe_mcp::McpTool>> {
    Json(mcp.list_tools().await)
}

async fn call_mcp_tool(
    mcp: Arc<McpServer>,
    Json(request): Json<serde_json::Value>
) -> Json<serde_json::Value> {
    let name = request["tool"].as_str().unwrap();
    let args = &request["args"];
    let result = mcp.call_tool(name, args.clone()).await;
    Json(serde_json::json!({"result": result}))
}

Pattern 3: Serverless Deployment (AWS Lambda)

Deploy MCP server as a serverless function:

use lambda_runtime::{service_fn, LambdaEvent, Error};
use serde_json::Value;
use allframe_core::router::Router;
use allframe_mcp::McpServer;
use std::sync::Arc;

#[tokio::main]
async fn main() -> Result<(), Error> {
    // Initialize router
    let mut router = Router::new();
    router.register("process_data", process_data_handler);

    // Create MCP server
    let mcp = Arc::new(McpServer::new(router));

    // Lambda handler
    lambda_runtime::run(service_fn(move |event| {
        let mcp = Arc::clone(&mcp);
        async move { handler(event, mcp).await }
    })).await
}

async fn handler(
    event: LambdaEvent<Value>,
    mcp: Arc<McpServer>
) -> Result<Value, Error> {
    let method = event.payload["method"].as_str().unwrap_or("");

    match method {
        "tools/list" => {
            let tools = mcp.list_tools().await;
            Ok(serde_json::json!({"tools": tools}))
        }
        "tools/call" => {
            let name = event.payload["name"].as_str().unwrap();
            let args = &event.payload["args"];
            let result = mcp.call_tool(name, args.clone()).await;
            Ok(serde_json::json!({"result": result}))
        }
        _ => Ok(serde_json::json!({"error": "Unknown method"}))
    }
}

API Overview

McpServer

The main MCP server struct that wraps an AllFrame Router.

impl McpServer {
    /// Create a new MCP server from an AllFrame router
    pub fn new(router: Router) -> Self;

    /// Get the count of registered tools
    pub fn tool_count(&self) -> usize;

    /// List all available tools
    pub async fn list_tools(&self) -> Vec<McpTool>;

    /// Call a tool by name with given arguments
    pub async fn call_tool(
        &self,
        name: &str,
        args: serde_json::Value
    ) -> Result<serde_json::Value, String>;
}

StdioTransport

Production-ready stdio transport with debugging support.

impl StdioTransport {
    /// Create a new STDIO transport
    pub fn new(mcp: McpServer, config: StdioConfig) -> Self;

    /// Serve MCP protocol over stdio (handles graceful shutdown)
    pub async fn serve(self);
}

StdioConfig

Configuration for the stdio transport.

impl StdioConfig {
    /// Enable the built-in debug tool
    pub fn with_debug_tool(self, enabled: bool) -> Self;

    /// Set the server name
    pub fn with_server_name(self, name: impl Into<String>) -> Self;

    /// Set a log file path
    pub fn with_log_file(self, path: impl Into<String>) -> Self;
}

McpTool

Represents a single MCP tool (derived from a router handler).

pub struct McpTool {
    pub name: String,
    pub description: String,
    pub input_schema: serde_json::Value,
}

impl McpTool {
    /// Create a tool from a handler name
    pub fn from_handler_name(name: &str) -> Self;
}

Schema Utilities

Convert between OpenAPI and JSON Schema formats:

/// Convert OpenAPI schema to JSON Schema
pub fn openapi_to_json_schema(openapi: &Value) -> Value;

/// Validate input against a JSON schema
pub fn validate_input(input: &Value, schema: &Value) -> Result<(), String>;

/// Coerce input to match expected type
pub fn coerce_type(value: &Value, expected_type: &str) -> Value;

/// Extract enum values from schema
pub fn extract_enum_values(schema: &Value) -> Option<Vec<String>>;

Examples

See the examples/ directory for complete working examples:

• mcp_server.rs - Basic MCP server setup
• mcp_stdio_server.rs - Full stdio transport implementation

Run an example:

cargo run --example mcp_server

Testing

All MCP functionality is fully tested:

# Run all tests
cargo test -p allframe-mcp

# Run with output
cargo test -p allframe-mcp -- --nocapture

# Test specific module
cargo test -p allframe-mcp server::tests

Current test coverage: 33 tests passing

Architecture

Zero-Bloat Design

allframe-mcp is a separate crate from allframe-core, ensuring:

• Opt-in only: MCP code is never compiled unless you add it as a dependency
• No feature flags: Clean separation, no conditional compilation
• Zero overhead: Applications without MCP pay zero cost

How It Works

1. Tool Discovery: McpServer scans the Router for registered handlers
2. Schema Generation: Each handler becomes an McpTool with JSON Schema
3. Tool Execution: Calls are routed through the AllFrame router
4. Response Mapping: Router responses are converted to MCP format

┌─────────────┐
│   LLM       │ (Claude, GPT-4, etc.)
└──────┬──────┘
       │ MCP Protocol
┌──────▼──────┐
│ McpServer   │ (allframe-mcp)
└──────┬──────┘
       │ Router API
┌──────▼──────┐
│   Router    │ (allframe-core)
└──────┬──────┘
       │
┌──────▼──────┐
│  Handlers   │ (Your business logic)
└─────────────┘

Deployment Options

Docker

FROM rust:1.86 as builder
WORKDIR /app
COPY . .
RUN cargo build --release --bin my-mcp-server

FROM debian:bookworm-slim
COPY --from=builder /app/target/release/my-mcp-server /usr/local/bin/
CMD ["my-mcp-server"]

Kubernetes

apiVersion: apps/v1
kind: Deployment
metadata:
  name: mcp-server
spec:
  replicas: 3
  template:
    spec:
      containers:
      - name: mcp-server
        image: my-mcp-server:latest
        ports:
        - containerPort: 3000

Fly.io

# fly.toml
app = "my-mcp-server"

[build]
  builder = "paketobuildpacks/builder:base"

[[services]]
  internal_port = 3000
  protocol = "tcp"

Performance

MCP overhead is minimal:

• Tool Discovery: O(n) where n = number of handlers (one-time on startup)
• Tool Execution: Direct router call (no additional overhead)
• Memory: ~100 bytes per tool for metadata

Benchmark results (on MacBook Pro M1):

tool_discovery   ... 1.2µs per handler
tool_call        ... 45µs per call (includes router overhead)
list_tools       ... 3.5µs (cached)

Roadmap

Phase 1 (Current)

• ✅ Basic MCP server implementation
• ✅ Tool discovery from router
• ✅ Simple tool execution
• ✅ Schema conversion utilities

Phase 2 (Planned)

• Advanced argument mapping (nested objects, arrays)
• Tool metadata from handler annotations
• Streaming responses for long-running operations
• Rate limiting and authentication

Phase 3 (Future)

• MCP resources (file/data access)
• MCP prompts (templated interactions)
• Tool composition (multi-step workflows)
• OpenAPI schema auto-import

Contributing

Contributions welcome! Please read CONTRIBUTING.md first.

Key areas for contribution:

• Additional transport implementations (HTTP, WebSocket)
• More comprehensive schema validation
• Performance optimizations
• Documentation improvements

License

Licensed under either of:

• Apache License, Version 2.0 (LICENSE-APACHE)
• MIT license (LICENSE-MIT)

at your option.

Resources

• Documentation: https://docs.rs/allframe-mcp
• AllFrame Core: https://docs.rs/allframe-core
• MCP Specification: https://modelcontextprotocol.io
• Examples: ./examples/
• Issues: https://github.com/all-source-os/all-frame/issues

Acknowledgments

Built on top of:

• AllFrame - Protocol-agnostic Rust web framework
• Model Context Protocol - By Anthropic
• Tokio - Async runtime for Rust

---

Made with ❤️ by the AllFrame team