Skip to main content

Model Context Protocol with SLIM as transport

Project description

SLIM-MCP Integration

Leverage SLIM as a transport mechanism for MCP, enabling efficient load balancing and dynamic discovery across MCP servers.

Installation

pip install slim-mcp

Overview

SLIM-MCP provides a seamless integration between SLIM (Secure Low-Latency Interactive Messaging) and MCP (Model Context Protocol), allowing you to:

  • Create MCP servers that can be discovered and accessed through SLIM
  • Connect MCP clients to servers using SLIM as the transport layer
  • Handle multiple concurrent sessions
  • Leverage SLIM's load balancing and service discovery capabilities

Usage

Server Setup

from slim_mcp import SLIMServer
import mcp.types as types
from mcp.server.lowlevel import Server

# Create an MCP server application
app = Server("example-server")

# Define your tools
example_tool = types.Tool(
    name="example",
    description="An example tool",
    inputSchema={
        "type": "object",
        "required": ["url"],
        "properties": {
            "url": {
                "type": "string",
                "description": "example URL input parameter",
            }
        },
    },
)

@app.list_tools()
async def list_tools() -> list[types.Tool]:
    return [example_tool]

# Configure and start the SLIM server
config = {
    "endpoint": "http://127.0.0.1:12345",
    "tls": {
        "insecure": True,
    },
}

async with SLIMServer(config, "org", "namespace", "server-name") as slim_server:
    # Handle incoming sessions
    async for session in slim_server:
        async with slim_server.new_streams(session) as streams:
            await app.run(
                streams[0],
                streams[1],
                app.create_initialization_options(),
            )

Client Setup

from slim_mcp import SLIMClient

# Configure the client
config = {
    "endpoint": "http://127.0.0.1:12345",
    "tls": {
        "insecure": True,
    },
}

async with SLIMClient(
    config,
    "org",
    "namespace",
    "client-id",
    "org",
    "namespace",
    "server-name"
) as client:
    async with client.to_mcp_session() as mcp_session:
        # Initialize the session
        await mcp_session.initialize()

        # List available tools
        tools = await mcp_session.list_tools()

        # Print the available tools
        print(f"Available tools: {tools}")

Features

  • Automatic Reconnection: SLIM automatically handles reconnection to the server if the connection is lost
  • Concurrent Sessions: Support for multiple concurrent sessions with proper resource management
  • TLS Support: Built-in support for secure TLS connections
  • Dynamic Discovery: Leverage SLIM's service discovery capabilities to find and connect to MCP servers
  • Load Balancing: Utilize SLIM's load balancing features for optimal server distribution

Configuration

The configuration object supports the following options:

config = {
    "endpoint": "http://127.0.0.1:12345",  # Server endpoint
    "tls": {
        "insecure": True,  # Set to False for production
        # Add other TLS options as needed
    },
}

Error Handling

The library provides comprehensive error handling and logging. All operations are wrapped in try-except blocks to ensure proper cleanup of resources.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

Apache-2.0

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

slim_mcp-0.1.7.tar.gz (165.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

slim_mcp-0.1.7-py3-none-any.whl (20.3 kB view details)

Uploaded Python 3

File details

Details for the file slim_mcp-0.1.7.tar.gz.

File metadata

  • Download URL: slim_mcp-0.1.7.tar.gz
  • Upload date:
  • Size: 165.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for slim_mcp-0.1.7.tar.gz
Algorithm Hash digest
SHA256 12f94d017ada28ecf23f3e1e5b26f2288ec249dd58248f96e05eba65b3842357
MD5 27f424571c7034d0ef91818cc1a861cf
BLAKE2b-256 da73888e918607eaf7bb9c04cfbc95c2c6ee9bed9eebc3f132b095d0688f8b26

See more details on using hashes here.

File details

Details for the file slim_mcp-0.1.7-py3-none-any.whl.

File metadata

  • Download URL: slim_mcp-0.1.7-py3-none-any.whl
  • Upload date:
  • Size: 20.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for slim_mcp-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 fa17ace3963d9b22135b5cf1cf8f96160bab8e64e47fd3c1b640ae37f2a8e5b2
MD5 2a612c42bbf5a97720d0a0f74b77ee74
BLAKE2b-256 e226b8a10a23e4b25b0caa469b916a347375cebbfffac117bcd7af31e0476b3c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page