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MCP Secure Local Server

by agileandy
README.md
# MCP Secure Local Server

A production-ready, security-first Model Context Protocol (MCP) server that runs locally with strict security controls while allowing controlled external network access for specific use cases like web search.

## Features

- **Security-First Design**: All operations are validated against a configurable security policy
- **Network Firewall**: Block all external network access except explicitly allowlisted endpoints
- **Input Validation**: JSON Schema validation, path traversal protection, command sanitization
- **Rate Limiting**: Per-tool rate limits to prevent abuse
- **Audit Logging**: JSON Lines format logging with sensitive data redaction
- **Plugin System**: Extensible architecture for adding new tools
- **MCP Protocol Compliant**: Full JSON-RPC 2.0 over STDIO transport

## Quick Start

### Installation

```bash
# Clone the repository
git clone <repository-url>
cd mcp-server

# Install dependencies with uv
uv sync
```

### Running the Server

```bash
# Run with default policy
uv run python main.py

# Run with custom policy file
uv run python main.py --policy /path/to/policy.yaml

# Show version
uv run python main.py --version
```

### Integration with MCP Clients

This server works with any MCP-compatible client. Add the following to your client's MCP configuration:

```json
{
  "mcpServers": {
    "secure-local": {
      "command": "uv",
      "args": ["run", "python", "/path/to/mcp-server/main.py"],
      "env": {}
    }
  }
}
```

**Example client configuration locations:**
- **Claude Desktop**: `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS)
- **Other MCP clients**: Refer to your client's documentation for the configuration file location

## Architecture

```
mcp-server/
├── main.py                    # CLI entry point
├── config/
│   └── policy.yaml            # Security policy configuration
├── src/
│   ├── server.py              # Main MCP server
│   ├── protocol/
│   │   ├── jsonrpc.py         # JSON-RPC 2.0 parsing
│   │   ├── transport.py       # STDIO transport
│   │   ├── lifecycle.py       # MCP lifecycle management
│   │   └── tools.py           # tools/list & tools/call handlers
│   ├── plugins/
│   │   ├── base.py            # Plugin base class
│   │   ├── loader.py          # Plugin discovery
│   │   ├── dispatcher.py      # Tool call routing
│   │   ├── discovery.py       # Built-in: Progressive disclosure tools
│   │   ├── websearch.py       # Example: DuckDuckGo search plugin
│   │   └── bugtracker.py      # Example: Bug tracking plugin
│   └── security/
│       ├── policy.py          # Policy loader
│       ├── firewall.py        # Network access control
│       ├── validator.py       # Input validation
│       ├── engine.py          # Integrated security engine
│       └── audit.py           # Audit logging
└── tests/                     # Test suite (343 tests, 96%+ coverage)
```

## Security Policy

The security policy is defined in YAML format. See `config/policy.yaml` for a complete example.

### Network Security

```yaml
network:
  # Allowed local network ranges
  allowed_ranges:
    - "127.0.0.0/8"
    - "10.0.0.0/8"
    - "192.168.0.0/16"
  
  # Explicitly allowed external endpoints
  allowed_endpoints:
    - host: "lite.duckduckgo.com"
      ports: [443]
      description: "DuckDuckGo search"
  
  # Blocked ports (even on local network)
  blocked_ports:
    - 22  # SSH  
  
  # DNS settings
  allow_dns: true
  dns_allowlist:
    - "lite.duckduckgo.com"
```

### Filesystem Security

```yaml
filesystem:
  # Allowed paths (supports globs and env vars)
  allowed_paths:
    - "${HOME}/projects/**"
    - "/tmp/mcp-workspace/**"
  
  # Denied paths (takes precedence)
  denied_paths:
    - "**/.ssh/**"
    - "**/.aws/**"
    - "**/*.pem"
    - "**/.env"
```

### Tool Configuration

```yaml
tools:
  # Rate limits (requests per minute)
  rate_limits:
    default: 60
    web_search: 20
  
  # Execution timeout
  timeout: 30
```

### Audit Logging

```yaml
audit:
  log_file: "${HOME}/.mcp-secure/audit.log"
  log_level: "INFO"
```

## Built-in Tools

The server automatically registers discovery tools for progressive disclosure, enabling agents to efficiently find and load only the tools they need.

### search_tools

Search for available tools by keyword or category. Use `detail_level` to control context usage.

**Input Schema:**
```json
{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Keyword to search in tool names and descriptions"
    },
    "category": {
      "type": "string",
      "description": "Filter by plugin category (e.g., 'bugtracker')"
    },
    "detail_level": {
      "type": "string",
      "enum": ["name", "summary", "full"],
      "description": "Level of detail: 'name' (just names), 'summary' (names + descriptions), 'full' (complete schemas)"
    }
  }
}
```

**Example - Find bug-related tools with minimal context:**
```json
{
  "name": "search_tools",
  "arguments": {
    "query": "bug",
    "detail_level": "name"
  }
}
// Returns: ["add_bug", "get_bug", "update_bug", "close_bug", "list_bugs", "search_bugs_global"]
```

**Example - Get full schema for a specific category:**
```json
{
  "name": "search_tools",
  "arguments": {
    "category": "websearch",
    "detail_level": "full"
  }
}
```

### list_categories

List all available tool categories (plugins) with tool counts. Use this to discover capabilities before searching.

**Input Schema:**
```json
{
  "type": "object",
  "properties": {}
}
```

**Example Response:**
```json
[
  {
    "category": "discovery",
    "version": "1.0.0",
    "tool_count": 2,
    "tools": ["search_tools", "list_categories"]
  },
  {
    "category": "websearch",
    "version": "1.0.0",
    "tool_count": 1,
    "tools": ["web_search"]
  },
  {
    "category": "bugtracker",
    "version": "1.0.0",
    "tool_count": 7,
    "tools": ["init_bugtracker", "add_bug", "get_bug", "update_bug", "close_bug", "list_bugs", "search_bugs_global"]
  }
]
```

## Example Plugins

The server includes example plugins to demonstrate the plugin architecture. These are provided as reference implementations showing how to build your own plugins for any use case.

### web_search (Example Plugin)

An example plugin that searches the web using DuckDuckGo. Demonstrates how to build plugins that make external network requests within the security policy.

**Input Schema:**
```json
{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "The search query"
    },
    "max_results": {
      "type": "integer",
      "description": "Maximum results to return (default: 5)"
    }
  },
  "required": ["query"]
}
```

**Example:**
```json
{
  "name": "web_search",
  "arguments": {
    "query": "Python asyncio tutorial",
    "max_results": 3
  }
}
```

### Bug Tracker (Example Plugin)

An example plugin implementing a local bug tracking system with a centralized SQLite database. Demonstrates how to build plugins that manage local state, support multiple projects, and perform complex queries.

#### init_bugtracker

Initialize bug tracking for a project.

**Input Schema:**
```json
{
  "type": "object",
  "properties": {
    "project_path": {
      "type": "string",
      "description": "Path to project directory (defaults to cwd)"
    }
  }
}
```

#### add_bug

Add a new bug to the tracker.

**Input Schema:**
```json
{
  "type": "object",
  "properties": {
    "title": {
      "type": "string",
      "description": "Brief title for the bug"
    },
    "description": {
      "type": "string",
      "description": "Detailed description"
    },
    "priority": {
      "type": "string",
      "enum": ["low", "medium", "high", "critical"],
      "description": "Bug priority (default: medium)"
    },
    "tags": {
      "type": "array",
      "items": {"type": "string"},
      "description": "Tags for categorization"
    },
    "project_path": {
      "type": "string",
      "description": "Path to project directory (defaults to cwd)"
    }
  },
  "required": ["title"]
}
```

#### get_bug

Retrieve a bug by ID.

**Input Schema:**
```json
{
  "type": "object",
  "properties": {
    "bug_id": {
      "type": "string",
      "description": "The bug ID to retrieve"
    },
    "project_path": {
      "type": "string",
      "description": "Path to project directory (defaults to cwd)"
    }
  },
  "required": ["bug_id"]
}
```

#### update_bug

Update an existing bug's status, priority, tags, or related bugs. Supports note-only updates for progress tracking.

**Input Schema:**
```json
{
  "type": "object",
  "properties": {
    "bug_id": {
      "type": "string",
      "description": "The bug ID to update"
    },
    "status": {
      "type": "string",
      "enum": ["open", "in_progress", "closed"]
    },
    "priority": {
      "type": "string",
      "enum": ["low", "medium", "high", "critical"]
    },
    "tags": {
      "type": "array",
      "items": {"type": "string"},
      "description": "New tags (replaces existing)"
    },
    "related_bugs": {
      "type": "array",
      "description": "Related bugs with relationship type"
    },
    "note": {
      "type": "string",
      "description": "Note for the history entry"
    },
    "project_path": {
      "type": "string"
    }
  },
  "required": ["bug_id"]
}
```

#### close_bug

Close a bug with a resolution note.

**Input Schema:**
```json
{
  "type": "object",
  "properties": {
    "bug_id": {
      "type": "string",
      "description": "The bug ID to close"
    },
    "resolution": {
      "type": "string",
      "description": "Resolution note explaining how the bug was fixed"
    },
    "project_path": {
      "type": "string"
    }
  },
  "required": ["bug_id"]
}
```

#### list_bugs

List bugs with optional filtering.

**Input Schema:**
```json
{
  "type": "object",
  "properties": {
    "status": {
      "type": "string",
      "enum": ["open", "in_progress", "closed"]
    },
    "priority": {
      "type": "string",
      "enum": ["low", "medium", "high", "critical"]
    },
    "tags": {
      "type": "array",
      "items": {"type": "string"},
      "description": "Filter by tags (must have ALL specified tags)"
    },
    "project_path": {
      "type": "string"
    }
  }
}
```

#### search_bugs_global

Search bugs across all indexed projects.

**Input Schema:**
```json
{
  "type": "object",
  "properties": {
    "status": {
      "type": "string",
      "enum": ["open", "in_progress", "closed"]
    },
    "priority": {
      "type": "string",
      "enum": ["low", "medium", "high", "critical"]
    },
    "tags": {
      "type": "array",
      "items": {"type": "string"}
    }
  }
}
```

**Example - Create and track a bug:**
```json
// Add a bug
{
  "name": "add_bug",
  "arguments": {
    "title": "Login button not responding",
    "description": "The login button on the home page doesn't trigger the auth flow",
    "priority": "high",
    "tags": ["ui", "auth"]
  }
}

// Update with progress
{
  "name": "update_bug",
  "arguments": {
    "bug_id": "BUG-001",
    "status": "in_progress",
    "note": "Identified missing onClick handler"
  }
}

// Close with resolution
{
  "name": "close_bug",
  "arguments": {
    "bug_id": "BUG-001",
    "resolution": "Added onClick handler to LoginButton component"
  }
}
```

## Creating Custom Plugins

### Python Plugins

Plugins must inherit from `PluginBase` and implement the required methods:

```python
from src.plugins.base import PluginBase, ToolDefinition, ToolResult

class MyPlugin(PluginBase):
    @property
    def name(self) -> str:
        return "my_plugin"
    
    @property
    def version(self) -> str:
        return "1.0.0"
    
    def get_tools(self) -> list[ToolDefinition]:
        return [
            ToolDefinition(
                name="my_tool",
                description="Does something useful",
                input_schema={
                    "type": "object",
                    "properties": {
                        "input": {"type": "string"}
                    },
                    "required": ["input"]
                },
            )
        ]
    
    def execute(self, tool_name: str, arguments: dict) -> ToolResult:
        if tool_name == "my_tool":
            result = do_something(arguments["input"])
            return ToolResult(
                content=[{"type": "text", "text": result}]
            )
        return ToolResult(
            content=[{"type": "text", "text": "Unknown tool"}],
            is_error=True
        )
```

Register the plugin in `main.py`:

```python
from my_plugin import MyPlugin

server.register_plugin(MyPlugin())
```

### External Plugins (Non-Python)

The plugin system can support tools written in any language (Rust, JavaScript, TypeScript, Go, etc.) through a subprocess wrapper approach. This is a planned feature - contributions welcome.

#### Architecture Overview

External plugins run as separate processes, communicating with the Python wrapper via JSON over stdin/stdout:

```
┌─────────────────────────────────────────────────────────────┐
│                     MCP Server (Python)                      │
│                                                              │
│  ┌──────────────┐    ┌──────────────┐    ┌──────────────┐   │
│  │ WebSearch    │    │ BugTracker   │    │ External     │   │
│  │ (Python)     │    │ (Python)     │    │ Plugin       │   │
│  └──────────────┘    └──────────────┘    │ (Wrapper)    │   │
│                                          └──────┬───────┘   │
│                                                 │            │
└─────────────────────────────────────────────────┼────────────┘
                                                  │ JSON/stdin/stdout
                                                  ▼
                                          ┌──────────────┐
                                          │ my-rust-tool │
                                          │ (subprocess) │
                                          └──────────────┘
```

#### How It Works

1. **Python Wrapper**: A thin `ExternalPlugin` class inherits from `PluginBase` and handles the subprocess lifecycle
2. **Manifest**: A `manifest.yaml` declares the tool definitions and points to the executable
3. **Contract**: The external tool receives JSON on stdin and writes JSON to stdout

#### Manifest Format

```yaml
name: my-rust-tools
version: "1.0.0"
type: external
executable: ./target/release/my-rust-tool

tools:
  - name: calculate_hash
    description: Calculate cryptographic hash of input
    input_schema:
      type: object
      properties:
        algorithm:
          type: string
          enum: [sha256, sha512, blake3]
        input:
          type: string
      required: [algorithm, input]
```

#### External Tool Contract

The external executable must:

1. **Accept** a JSON object on stdin:
```json
{
  "tool": "calculate_hash",
  "arguments": {
    "algorithm": "sha256",
    "input": "hello world"
  }
}
```

2. **Return** a JSON object on stdout:
```json
{
  "content": [
    {"type": "text", "text": "sha256: b94d27b9934d3e08..."}
  ],
  "isError": false
}
```

3. **Exit** with code 0 on success, non-zero on failure

#### Example: Rust Tool

```rust
use serde::{Deserialize, Serialize};
use std::io::{self, BufRead, Write};

#[derive(Deserialize)]
struct Request {
    tool: String,
    arguments: serde_json::Value,
}

#[derive(Serialize)]
struct Response {
    content: Vec<Content>,
    #[serde(rename = "isError")]
    is_error: bool,
}

#[derive(Serialize)]
struct Content {
    #[serde(rename = "type")]
    content_type: String,
    text: String,
}

fn main() {
    let stdin = io::stdin();
    let line = stdin.lock().lines().next().unwrap().unwrap();
    let request: Request = serde_json::from_str(&line).unwrap();
    
    let result = match request.tool.as_str() {
        "calculate_hash" => calculate_hash(request.arguments),
        _ => Err(format!("Unknown tool: {}", request.tool)),
    };
    
    let response = match result {
        Ok(text) => Response {
            content: vec![Content { content_type: "text".into(), text }],
            is_error: false,
        },
        Err(e) => Response {
            content: vec![Content { content_type: "text".into(), text: e }],
            is_error: true,
        },
    };
    
    println!("{}", serde_json::to_string(&response).unwrap());
}
```

#### Example: Node.js Tool

```javascript
const readline = require('readline');

const rl = readline.createInterface({ input: process.stdin });

rl.on('line', (line) => {
  const request = JSON.parse(line);
  
  let response;
  try {
    const result = handleTool(request.tool, request.arguments);
    response = {
      content: [{ type: 'text', text: result }],
      isError: false
    };
  } catch (e) {
    response = {
      content: [{ type: 'text', text: e.message }],
      isError: true
    };
  }
  
  console.log(JSON.stringify(response));
  process.exit(0);
});

function handleTool(tool, args) {
  switch (tool) {
    case 'format_json':
      return JSON.stringify(JSON.parse(args.input), null, 2);
    default:
      throw new Error(`Unknown tool: ${tool}`);
  }
}
```

#### Security Considerations for External Plugins

1. **Process Isolation**: External tools run in separate processes with their own memory space
2. **Timeout Enforcement**: The wrapper kills subprocesses that exceed the configured timeout
3. **No Network Inheritance**: Subprocess network access is governed by OS-level controls
4. **Executable Allowlist**: Only executables listed in registered manifests can be invoked
5. **Input Validation**: JSON schemas are validated before passing to the subprocess

#### Trade-offs

| Aspect | Python Plugin | External Plugin |
|--------|---------------|-----------------|
| **Startup latency** | None | ~10-50ms per call |
| **Memory** | Shared with server | Separate process |
| **Language** | Python only | Any language |
| **Debugging** | Easy | Harder (separate process) |
| **Security** | Shared memory space | Process isolation |

#### When to Use External Plugins

- **Performance-critical tools**: Rust/Go for CPU-intensive operations
- **Existing CLI tools**: Wrap existing binaries without rewriting
- **Language-specific libraries**: Use npm packages, Cargo crates, etc.
- **Team expertise**: Let teams use their preferred language

## Development

### Running Tests

```bash
# Run all tests
uv run pytest

# Run with coverage report
uv run pytest --cov=src --cov-report=term-missing

# Run specific test file
uv run pytest tests/test_server.py -v
```

### Linting

```bash
# Check for issues
uv run ruff check .

# Auto-fix issues
uv run ruff check --fix .

# Format code
uv run ruff format .
```

### Project Structure

| Directory | Purpose |
|-----------|---------|
| `src/protocol/` | MCP protocol implementation (JSON-RPC, STDIO, lifecycle) |
| `src/plugins/` | Plugin system and built-in plugins |
| `src/security/` | Security layer (firewall, validation, audit) |
| `tests/` | Test suite |
| `config/` | Configuration files |

## MCP Protocol Support

This server implements MCP protocol version `2025-11-25` with support for:

| Method | Description |
|--------|-------------|
| `initialize` | Initialize the connection |
| `notifications/initialized` | Confirm initialization complete |
| `tools/list` | List available tools |
| `tools/call` | Execute a tool |

## Security Considerations

1. **Network Isolation**: By default, all external network access is blocked. Only explicitly allowlisted endpoints can be reached.

2. **Path Traversal Protection**: All file paths are validated against allowed/denied patterns to prevent accessing sensitive files.

3. **Command Injection Prevention**: Commands are sanitized to block dangerous patterns like shell operators.

4. **Rate Limiting**: Per-tool rate limits prevent abuse and resource exhaustion.

5. **Audit Trail**: All operations are logged with timestamps, request IDs, and sanitized arguments.

## License

MIT License - see LICENSE file for details.

TDQS

B3.3/5.0

Scored across 15 tools

Disambiguation3/5

The tool set has clear distinct purposes for most tools, but some overlap exists, such as 'close_bug' being a convenience wrapper for 'update_bug', which could cause confusion in selection. However, descriptions help clarify these relationships, and tools like 'configure_figma_stories' and 'generate_user_stories' are well-differentiated within their domain.

Naming Consistency4/5

Most tools follow a consistent verb_noun pattern, such as 'add_bug', 'get_bug', 'list_bugs', and 'update_bug', with minor deviations like 'configure_figma_stories' and 'preview_user_stories' that still maintain readability. The naming is largely predictable and coherent across the set.

Tool Count5/5

With 15 tools, the count is well-scoped for a server handling bug tracking, Figma integration, and general utilities. Each tool appears to earn its place by covering specific operations without feeling excessive or thin for the apparent scope of the server.

Completeness4/5

The server provides good coverage for bug tracking with CRUD operations and additional features like searching and configuration. Minor gaps exist, such as no explicit tool for deleting bugs or managing Figma projects beyond the listed operations, but agents can likely work around these with the available tools.

Maintenance

ActivityInactive
ResponsivenessUnresponsive