MCP 2.0: Enhanced Capabilities & Performance¶
Overview¶
MCP 2.0 (2025-2026) brings major improvements for agent integration: - Streaming support (video, audio, large files) - Enhanced tool definitions - Better error handling - Performance optimizations
Streaming Support¶
Video & Audio Streaming¶
class MCP2StreamingServer:
"""MCP 2.0 with streaming"""
def register_streaming_tool(self, name: str, tool):
"""Register tool that returns streams"""
tool_definition = {
'name': name,
'description': tool.description,
'supportsStreaming': True,
'streamOutputType': 'video' # or 'audio', 'binary'
}
self.tools[name] = tool_definition
def stream_tool_result(self, tool_name: str, args: dict):
"""Stream large result"""
tool = self.tools[tool_name]
# For video/audio, don't buffer entire result
# Stream chunks to client
for chunk in tool.execute_streaming(args):
yield {
'type': 'stream_chunk',
'chunk': chunk,
'mimeType': 'video/mp4'
}
# Signal end
yield {
'type': 'stream_end',
'success': True
}
Sampling Methods¶
Agent-Requested Capabilities¶
class MCP2Client:
"""MCP 2.0 client with sampling"""
def request_sampling(self, request_type: str, params: dict):
"""Agent can request LLM sampling"""
# Agent says: "I need your judgment on this"
request = {
'jsonrpc': '2.0',
'method': 'sampling/create',
'params': {
'systemPrompt': params.get('system'),
'messages': params.get('messages'),
'model': params.get('model', 'claude-3-5-sonnet'),
'maxTokens': params.get('max_tokens', 1000)
}
}
# Server processes request
response = self.send_request(request)
# Agent gets model's sampling
return response['result']['content']
Enhanced Tool Definitions¶
Better Schema Support¶
class MCP2ToolDefinition:
"""Improved tool definition format"""
@staticmethod
def define_complex_tool():
"""Tool with advanced features"""
return {
'name': 'analyze_data',
'description': 'Analyze dataset with multiple options',
# 2.0: Better schema support
'inputSchema': {
'type': 'object',
'properties': {
'data': {
'type': 'array',
'items': {'type': 'number'},
'description': 'Data points to analyze'
},
'analysis_type': {
'type': 'string',
'enum': ['mean', 'median', 'stdev', 'correlation'],
'description': 'Type of analysis'
}
},
'required': ['data', 'analysis_type']
},
# 2.0: Output schema
'outputSchema': {
'type': 'object',
'properties': {
'result': {'type': 'number'},
'confidence': {'type': 'number', 'minimum': 0, 'maximum': 1}
}
},
# 2.0: Cost information
'costInfo': {
'estimatedTokens': 50,
'estimatedCost': 0.001
}
}
Performance Improvements¶
Caching & Optimization¶
class MCP2PerformanceOptimization:
"""MCP 2.0 performance features"""
def __init__(self):
self.cache = Cache() # Result caching
def execute_with_optimization(self, tool_name: str, args: dict):
"""Optimized execution"""
# Check cache
cache_key = self.make_key(tool_name, args)
cached = self.cache.get(cache_key)
if cached and not self.is_stale(cached):
return cached['result']
# Batch requests to same tool
# (MCP 2.0 feature)
# Execute
result = self.execute_tool(tool_name, args)
# Cache with TTL
self.cache.set(cache_key, result, ttl=3600)
return result
Resource Protocol v2¶
Improved Resource Access¶
class MCP2ResourceProtocol:
"""Resource access in MCP 2.0"""
def list_resources(self, uri_pattern: str = None):
"""List available resources"""
request = {
'jsonrpc': '2.0',
'method': 'resources/list',
'params': {
'uriPattern': uri_pattern # Filter by pattern
}
}
response = self.send_request(request)
return response['result']['resources']
def read_resource(self, uri: str):
"""Read resource content"""
request = {
'jsonrpc': '2.0',
'method': 'resources/read',
'params': {'uri': uri}
}
response = self.send_request(request)
return response['result']['contents']
Migration from MCP 1.0¶
Backwards Compatibility¶
class MCP1To2Migration:
"""Upgrade from MCP 1.0"""
@staticmethod
def migrate_tool_definition(old_def):
"""Convert old tool to MCP 2.0"""
new_def = {
**old_def, # Keep existing fields
# Add new 2.0 features
'outputSchema': { # New
'type': 'object'
},
'costInfo': { # New
'estimatedTokens': 100
},
'supportsStreaming': False # New
}
return new_def
3 Warnings ⚠️¶
Warning 1: Assuming 2.0 Everywhere¶
# ❌ WRONG
# Use MCP 2.0 features without checking version
result = server.stream_large_result()
# But server might be MCP 1.0!
# Breaks
# ✅ RIGHT
# Check server version first
version = server.get_protocol_version()
if version >= '2.0':
result = server.stream_large_result()
else:
result = server.get_buffered_result()
Warning 2: Streaming Overhead¶
# ❌ WRONG
# Stream everything
for result in stream_all_results():
yield result
# Overhead for small results
# Better to batch
# ✅ RIGHT
# Stream only large results
if result.size > 1_000_000: # > 1MB
stream_result(result)
else:
buffer_and_send(result)
Warning 3: Sampling Loops¶
# ❌ WRONG
# Agent keeps calling sampling
while True:
decision = agent.request_sampling()
# Agent might loop forever
# ✅ RIGHT
# Limit sampling calls
max_samples = 5
for i in range(max_samples):
decision = agent.request_sampling()
if is_confident(decision):
break
Last Updated: August 9, 2026