# mcp-server
A fully-featured Haskell library for building [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) servers.
## Features
- **Complete MCP Implementation**: Full support for MCP 2024-11-05 specification
- **Type-Safe API**: Leverage Haskell's type system for robust MCP servers
- **Multiple Abstractions**: Both low-level fine-grained control and high-level derived interfaces
- **Template Haskell Support**: Automatic handler derivation from data types
## Supported MCP Features
- ✅ **Prompts**: User-controlled prompt templates with arguments
- ✅ **Resources**: Application-controlled readable resources
- ✅ **Tools**: Model-controlled callable functions
- ✅ **Initialization Flow**: Complete protocol lifecycle with version negotiation
- ✅ **Error Handling**: Comprehensive error types and JSON-RPC error responses
- ✅ **Capabilities**: Proper capability negotiation with sub-capabilities
## Quick Start
Add the library `mcp-server` to your cabal file:
```cabal
build-depends:
mcp-server
```
Create a simple module, such as this example below:
```haskell
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE TemplateHaskell #-}
import MCP.Server
import MCP.Server.Derive
-- Define your data types
data MyPrompt = Recipe { idea :: Text } | Shopping { items :: Text }
data MyResource = Menu | Specials
data MyTool = Search { query :: Text } | Order { item :: Text }
-- Implement handlers
handlePrompt :: MyPrompt -> IO Content
handlePrompt (Recipe idea) = pure $ ContentText $ "Recipe for " <> idea
handlePrompt (Shopping items) = pure $ ContentText $ "Shopping list: " <> items
handleResource :: MyResource -> IO Content
handleResource Menu = pure $ ContentText "Today's menu..."
handleResource Specials = pure $ ContentText "Daily specials..."
handleTool :: MyTool -> IO Content
handleTool (Search query) = pure $ ContentText $ "Search results for " <> query
handleTool (Order item) = pure $ ContentText $ "Ordered " <> item
-- Derive handlers automatically
main :: IO ()
main = runMcpServerStdIn serverInfo handlers
where
serverInfo = McpServerInfo
{ serverName = "My MCP Server"
, serverVersion = "1.0.0"
, serverInstructions = "A sample MCP server"
}
handlers = McpServerHandlers
{ prompts = Just $(derivePromptHandler ''MyPrompt 'handlePrompt)
, resources = Just $(deriveResourceHandler ''MyResource 'handleResource)
, tools = Just $(deriveToolHandler ''MyTool 'handleTool)
}
```
## Custom Descriptions
You can provide custom descriptions for constructors and fields using the `*WithDescription` variants:
```haskell
-- Define descriptions for constructors and fields
descriptions :: [(String, String)]
descriptions =
[ ("Recipe", "Generate a recipe for a specific dish") -- Constructor description
, ("Search", "Search our menu database") -- Constructor description
, ("idea", "The dish you want a recipe for") -- Field description
, ("query", "Search terms to find menu items") -- Field description
]
-- Use in derivation
handlers = McpServerHandlers
{ prompts = Just $(derivePromptHandlerWithDescription ''MyPrompt 'handlePrompt descriptions)
, tools = Just $(deriveToolHandlerWithDescription ''MyTool 'handleTool descriptions)
, resources = Just $(deriveResourceHandlerWithDescription ''MyResource 'handleResource descriptions)
}
```
## Manual Handler Implementation
For fine-grained control, implement handlers manually:
```haskell
import MCP.Server
-- Manual handler implementation
promptListHandler :: IO [PromptDefinition]
promptGetHandler :: PromptName -> [(ArgumentName, ArgumentValue)] -> IO (Either Error Content)
-- ... implement your custom logic
main :: IO ()
main = runMcpServerStdIn serverInfo handlers
where
handlers = McpServerHandlers
{ prompts = Just (promptListHandler, promptGetHandler)
, resources = Nothing -- Not supported
, tools = Nothing -- Not supported
}
```
## Examples
The library includes complete examples:
- **`examples/Simple/`**: Basic key-value store using Template Haskell derivation
- **`examples/Complete/`**: Full-featured example with prompts, resources, and tools
## Docker Usage
I like to build and publish my MCP servers to Docker - which means that it's much easier to configure assistants such as Claude Desktop to run them.
```bash
# Build the image
docker build -t haskell-mcp-server .
# Run different examples
docker run -i --entrypoint="/usr/local/bin/template-haskell-example" haskell-mcp-server
docker run -i --entrypoint="/usr/local/bin/high-level-example" haskell-mcp-server
```
And then configure Claude by editing `claude_desktop_config.json`:
```json
{
"mcpServers": {
"haskell-mcp-server-example": {
"command": "docker",
"args": [
"run",
"-i",
"--entrypoint=/usr/local/bin/template-haskell-example",
"drshade/haskell-mcp-server"
]
}
}
}
```
## Documentation
- [MCP Specification](https://modelcontextprotocol.io/specification/2024-11-05/)
- [API Documentation](https://hackage.haskell.org/package/mcp-server)
- [Examples](examples/)
## Contributing
Contributions are welcome! Please see the issue tracker for open issues and feature requests.
## Disclaimer - AI Assistance
I am not sure whether there is any stigma associated with this but Claude helped me write a lot of this library. I started with a very specific specification of what I wanted to achieve and worked shoulder-to-shoulder with Claude to implement and refactor the library until I was happy with it. A few of the features such as the Derive functions are a little out of my comfort zone to have manually written, so I appreciated having an expert guide me here - however I do suspect that this implementation may be sub-par and I do intend to refactor and rewrite large pieces of this through regular maintenance.
## License
BSD-3-Clause