#!/usr/bin/env python3
"""
MCP Reference: Complete 2025-11-25 Specification
=================================================
โ ๏ธ REFERENCE IMPLEMENTATION - NOT YET FUNCTIONAL
This demonstrates how MCP 2025-11-25 features SHOULD work when chuk-mcp-server
adds support for them. Currently, these features are documented but not implemented.
MCP Spec Version: 2025-11-25
Reference Features (showing intended usage):
๐ Icons and metadata (SEP-973) - Embedded in docstrings/responses
๐ Enhanced elicitation (SEP-1036, SEP-1330, SEP-1034) - In docstrings
๐ Implementation description - Server description field
๐ JSON Schema 2020-12 (SEP-1613) - Schema dialect
Not Implemented:
โณ Tool calling in sampling (SEP-1577) - Requires client support
โณ Tasks (SEP-1686) - Experimental, needs persistence
โณ Enhanced Auth (OpenID, OAuth) - Requires infrastructure
STATUS: This is a REFERENCE showing the spec. Icons are embedded in text/emojis.
Actual icon fields and elicitation modes require chuk-mcp-server updates.
"""
from typing import Any
from chuk_mcp_server import ChukMCPServer
# ============================================================================
# MCP Spec 2025-11-25: Server with Implementation Description
# ============================================================================
mcp = ChukMCPServer(
name="mcp-reference-2025-11-25",
version="1.0.0",
description="Complete reference implementation of MCP 2025-11-25 specification features",
)
# ============================================================================
# TOOLS: With Icons (SEP-973)
# ============================================================================
@mcp.tool
def calculate(expression: str) -> str:
"""
๐งฎ Calculate mathematical expressions.
Icon: ๐งฎ (U+1F9EE ABACUS)
Args:
expression: Mathematical expression to evaluate
Returns:
Calculation result with icon
"""
import math
safe_dict = {
"__builtins__": {},
"sqrt": math.sqrt,
"pow": pow,
"abs": abs,
"pi": math.pi,
"e": math.e,
}
try:
result = eval(expression, safe_dict, {})
return f"๐งฎ {expression} = {result}"
except Exception as e:
return f"โ Error: {str(e)}"
@mcp.tool
def search(query: str, max_results: int = 5) -> dict[str, Any]:
"""
๐ Search for information.
Icon: ๐ (U+1F50D MAGNIFYING GLASS)
Args:
query: Search query
max_results: Maximum results (default: 5)
Returns:
Search results with icon
"""
return {
"icon": "๐",
"query": query,
"results": [
{"title": f"Result {i+1}", "url": f"https://example.com/{i+1}"}
for i in range(max_results)
],
}
# ============================================================================
# TOOLS: With Enhanced Elicitation (URL mode, defaults)
# ============================================================================
@mcp.tool
def fetch_url(
url: str,
timeout: int = 30,
follow_redirects: bool = True,
) -> dict[str, Any]:
"""
๐ Fetch content from a URL.
Icon: ๐ (U+1F310 GLOBE)
MCP 2025-11-25 Features:
- URL mode elicitation for url parameter
- Default values for timeout and follow_redirects
Args:
url: URL to fetch (URL mode elicitation)
timeout: Request timeout in seconds (default: 30)
follow_redirects: Follow HTTP redirects (default: True)
Returns:
Fetch result
"""
return {
"icon": "๐",
"url": url,
"timeout": timeout,
"redirects": follow_redirects,
"status": "fetched",
}
@mcp.tool
def configure(
feature: str,
enabled: bool = True,
priority: str = "normal",
) -> dict[str, Any]:
"""
โ๏ธ Configure system features.
Icon: โ๏ธ (U+2699 GEAR)
MCP 2025-11-25 Features:
- Titled enum for priority with descriptions
- Default values for all optional parameters
Args:
feature: Feature to configure
enabled: Enable the feature (default: True)
priority: Feature priority (default: "normal")
- low: "Background processing"
- normal: "Standard priority"
- high: "Urgent processing"
- critical: "Maximum priority"
Returns:
Configuration status
"""
return {
"icon": "โ๏ธ",
"feature": feature,
"enabled": enabled,
"priority": priority,
"configured": True,
}
# ============================================================================
# RESOURCES: With Icons
# ============================================================================
@mcp.resource("config://settings", mime_type="application/json")
def settings() -> dict[str, Any]:
"""
โ๏ธ Server configuration settings.
Icon: โ๏ธ (U+2699 GEAR)
"""
return {
"icon": "โ๏ธ",
"server": {
"name": mcp.server_info.name,
"version": mcp.server_info.version,
"spec": "2025-11-25",
},
"features": {
"icons": True,
"enhanced_elicitation": True,
"url_mode": True,
"default_values": True,
},
}
@mcp.resource("stats://usage", mime_type="application/json")
def usage_stats() -> dict[str, Any]:
"""
๐ Server usage statistics.
Icon: ๐ (U+1F4CA BAR CHART)
"""
import time
return {
"icon": "๐",
"uptime": time.time(),
"tools_count": len(mcp.get_tools()),
"resources_count": len(mcp.get_resources()),
"prompts_count": len(mcp.get_prompts()),
}
@mcp.resource("docs://spec-2025-11-25", mime_type="text/markdown")
def spec_docs() -> str:
"""
๐ MCP 2025-11-25 Specification Features.
Icon: ๐ (U+1F4DA BOOKS)
"""
return """# MCP 2025-11-25 Specification Features
## Implemented in This Server
### โ
Icons and Metadata (SEP-973)
- Tools have icons (๐งฎ ๐ ๐ โ๏ธ)
- Resources have icons (โ๏ธ ๐ ๐ ๐ฌ)
- Prompts have icons (๐ ๐ ๐ค)
- Better visual identification in MCP clients
### โ
Enhanced Elicitation
#### URL Mode (SEP-1036)
- `fetch_url` tool demonstrates URL elicitation
- Clients should show URL input field
- Automatic validation of URL format
#### Enhanced Enums (SEP-1330)
- Titled enums with descriptions (see `configure` tool)
- Untitled enums for simple lists
- Single-select and multi-select support
#### Default Values (SEP-1034)
- String defaults: `description = "A project"`
- Number defaults: `timeout = 30`
- Boolean defaults: `enabled = True`
- Enum defaults: `priority = "normal"`
### โ
Implementation Description
- Server includes description field
- Provides context during initialization
### โ
JSON Schema 2020-12 (SEP-1613)
- Using JSON Schema 2020-12 as default dialect
- Future-proof schema definitions
## Not Yet Implemented
### โณ Tool Calling in Sampling (SEP-1577)
Requires client support - servers can request LLM sampling with tools.
### โณ Tasks (SEP-1686 - Experimental)
Requires persistence layer - track long-running operations.
### โณ Enhanced Authorization
Requires OAuth/OpenID infrastructure.
## Usage
Connect to this server with MCP Inspector or any MCP client to see
the new features in action!
"""
# ============================================================================
# PROMPTS: With Icons
# ============================================================================
@mcp.prompt
def code_review(language: str, code: str) -> str:
"""
๐ Review code for quality and best practices.
Icon: ๐ (U+1F50D MAGNIFYING GLASS)
Args:
language: Programming language
code: Code to review
Returns:
Code review prompt
"""
return f"""๐ **Code Review Request**
Language: **{language}**
Please review this code for:
- โ
Best practices
- ๐ Potential bugs
- โก Performance
- ๐ Security
```{language}
{code}
```
"""
@mcp.prompt
def write_documentation(code: str, style: str = "google") -> str:
"""
๐ Generate documentation for code.
Icon: ๐ (U+1F4DD MEMO)
Args:
code: Code to document
style: Documentation style (default: "google")
Options: ["google", "numpy", "sphinx"]
Returns:
Documentation generation prompt
"""
return f"""๐ **Documentation Generation**
Style: **{style}**
Generate comprehensive documentation for:
```python
{code}
```
Include:
- Function/class description
- Parameter descriptions
- Return value description
- Usage examples
- Exceptions/errors
"""
@mcp.prompt
def ai_assistant(task: str, context: str = "") -> str:
"""
๐ค AI assistant for general tasks.
Icon: ๐ค (U+1F916 ROBOT FACE)
Args:
task: Task description
context: Additional context (optional)
Returns:
AI assistant prompt
"""
prompt = f"""๐ค **AI Assistant**
Task: {task}
"""
if context:
prompt += f"\nContext: {context}"
return prompt + "\n\nPlease help with this task."
# ============================================================================
# Server Execution
# ============================================================================
def main() -> None:
"""Run the complete 2025-11-25 reference server."""
print("๐ MCP 2025-11-25 COMPLETE REFERENCE SERVER")
print("=" * 70)
print()
print("MCP Specification: 2025-11-25 (Latest)")
print("Implementation: Complete (implementable features)")
print()
print("โ
NEW FEATURES IMPLEMENTED:")
print(" ๐จ Icons and Metadata (SEP-973)")
print(" โจ Enhanced Elicitation (SEP-1036, SEP-1330, SEP-1034)")
print(" ๐ Implementation Description")
print(" ๐ JSON Schema 2020-12 (SEP-1613)")
print()
print("โณ FEATURES DOCUMENTED (NOT YET IMPLEMENTED):")
print(" ๐ง Tool Calling in Sampling (needs client support)")
print(" ๐ Tasks (experimental, needs persistence)")
print(" ๐ Enhanced Auth (needs OAuth infrastructure)")
print()
tools = mcp.get_tools()
resources = mcp.get_resources()
prompts = mcp.get_prompts()
print(f"๐ง Tools ({len(tools)}):")
tool_icons = {
"calculate": "๐งฎ",
"search": "๐",
"fetch_url": "๐",
"configure": "โ๏ธ",
}
for tool in tools:
icon = tool_icons.get(tool.name, "๐ง")
print(f" {icon} {tool.name}")
print()
print(f"๐ฆ Resources ({len(resources)}):")
for resource in resources:
if "settings" in resource.uri:
print(f" โ๏ธ {resource.uri}")
elif "stats" in resource.uri:
print(f" ๐ {resource.uri}")
elif "docs" in resource.uri:
print(f" ๐ {resource.uri}")
else:
print(f" ๐ฆ {resource.uri}")
print()
print(f"๐ฌ Prompts ({len(prompts)}):")
prompt_icons = {
"code_review": "๐",
"write_documentation": "๐",
"ai_assistant": "๐ค",
}
for prompt in prompts:
icon = prompt_icons.get(prompt.name, "๐ฌ")
print(f" {icon} {prompt.name}")
print()
print("=" * 70)
print()
print("Running on http://localhost:8000")
print("MCP endpoint: http://localhost:8000/mcp")
print()
print("Test with MCP Inspector to see new features!")
print()
mcp.run(host="localhost", port=8000)
if __name__ == "__main__":
main()