mirror of
https://github.com/allaunthefox/Research-Stack.git
synced 2026-08-17 01:20:34 +00:00
chore(pending): quarantine python MCP server (Lean-first unification)
This commit is contained in:
Allaun Silverfox
parent
7a0fa2bd67
commit
c12521bc32
1 changed files with 0 additions and 163 deletions
|
|
@ -1,163 +0,0 @@
|
||||||
#!/usr/bin/env python3
|
|
||||||
"""
|
|
||||||
Advanced MCP Server for Sovereign Research Stack
|
|
||||||
|
|
||||||
Provides high-trust tools for:
|
|
||||||
- Swarm Intelligence (Active Questioning)
|
|
||||||
- Lean 4 Formal Verification (Consistentcy Checks)
|
|
||||||
- Manifold Topology Discovery (PIST Substrate)
|
|
||||||
- Academic Paper Context Extraction
|
|
||||||
"""
|
|
||||||
|
|
||||||
import sys
|
|
||||||
import json
|
|
||||||
import asyncio
|
|
||||||
import subprocess
|
|
||||||
from pathlib import Path
|
|
||||||
from typing import Any, Dict, List, Optional
|
|
||||||
|
|
||||||
# Add parent directory to path for imports
|
|
||||||
sys.path.insert(0, str(Path(__file__).parent))
|
|
||||||
sys.path.insert(0, str(Path(__file__).parent / "scripts"))
|
|
||||||
|
|
||||||
try:
|
|
||||||
from mcp.server import Server
|
|
||||||
from mcp.server.stdio import stdio_server
|
|
||||||
from mcp.types import Tool, TextContent
|
|
||||||
except ImportError:
|
|
||||||
print("MCP SDK not installed. Install with: pip install mcp")
|
|
||||||
sys.exit(1)
|
|
||||||
|
|
||||||
# Import swarm components
|
|
||||||
try:
|
|
||||||
from scripts.enhanced_integrated_swarm import (
|
|
||||||
EnhancedIntegratedSwarm,
|
|
||||||
create_demo_topology,
|
|
||||||
MathDatabase
|
|
||||||
)
|
|
||||||
except ImportError:
|
|
||||||
print("Could not import swarm components")
|
|
||||||
sys.exit(1)
|
|
||||||
|
|
||||||
# Global swarm instance
|
|
||||||
_swarm_instance: Optional[EnhancedIntegratedSwarm] = None
|
|
||||||
|
|
||||||
def get_swarm() -> EnhancedIntegratedSwarm:
|
|
||||||
"""Get or create swarm instance"""
|
|
||||||
global _swarm_instance
|
|
||||||
if _swarm_instance is None:
|
|
||||||
topology = create_demo_topology()
|
|
||||||
math_db = MathDatabase()
|
|
||||||
_swarm_instance = EnhancedIntegratedSwarm(
|
|
||||||
topology=topology,
|
|
||||||
math_db=math_db,
|
|
||||||
num_agents=50
|
|
||||||
)
|
|
||||||
return _swarm_instance
|
|
||||||
|
|
||||||
# Create MCP server
|
|
||||||
server = Server("sovereign-research-stack")
|
|
||||||
|
|
||||||
@server.list_tools()
|
|
||||||
async def list_tools() -> List[Tool]:
|
|
||||||
"""List available advanced tools"""
|
|
||||||
return [
|
|
||||||
Tool(
|
|
||||||
name="ask_swarm",
|
|
||||||
description="Consult the 50-agent swarm on complex reasoning tasks.",
|
|
||||||
inputSchema={
|
|
||||||
"type": "object",
|
|
||||||
"properties": {
|
|
||||||
"question": {"type": "string"},
|
|
||||||
"context": {"type": "string"},
|
|
||||||
"domain": {"type": "string", "default": "theoretical_physics"}
|
|
||||||
},
|
|
||||||
"required": ["question"]
|
|
||||||
}
|
|
||||||
),
|
|
||||||
Tool(
|
|
||||||
name="query_manifold_topology",
|
|
||||||
description="Returns the current PIST-based virtual substrate state (Mass Field, Resonance).",
|
|
||||||
inputSchema={"type": "object", "properties": {}}
|
|
||||||
),
|
|
||||||
Tool(
|
|
||||||
name="verify_lean_consistency",
|
|
||||||
description="Runs diagnostics on Lean modules to check for structural integrity.",
|
|
||||||
inputSchema={
|
|
||||||
"type": "object",
|
|
||||||
"properties": {
|
|
||||||
"module": {"type": "string", "description": "Basename of the .lean file"}
|
|
||||||
},
|
|
||||||
"required": ["module"]
|
|
||||||
}
|
|
||||||
),
|
|
||||||
Tool(
|
|
||||||
name="get_academic_validation",
|
|
||||||
description="Retrieves arXiv-backed validation points for Semantic RG structures.",
|
|
||||||
inputSchema={"type": "object", "properties": {}}
|
|
||||||
),
|
|
||||||
Tool(
|
|
||||||
name="teach_swarm_academic_papers",
|
|
||||||
description="Broadcasts academic paper content to the 50-agent swarm to update their research context.",
|
|
||||||
inputSchema={"type": "object", "properties": {}}
|
|
||||||
)
|
|
||||||
]
|
|
||||||
|
|
||||||
@server.call_tool()
|
|
||||||
async def call_tool(name: str, arguments: Dict[str, Any]) -> List[TextContent]:
|
|
||||||
"""Execute tool logic"""
|
|
||||||
swarm = get_swarm()
|
|
||||||
|
|
||||||
if name == "ask_swarm":
|
|
||||||
response = swarm.research_api.ask_question(
|
|
||||||
question=arguments["question"],
|
|
||||||
context=arguments.get("context", ""),
|
|
||||||
domain=arguments.get("domain", "theoretical_physics")
|
|
||||||
)
|
|
||||||
return [TextContent(type="text", text=f"Swarm Consensus:\n{response}")]
|
|
||||||
|
|
||||||
elif name == "query_manifold_topology":
|
|
||||||
summary = swarm.optimizer.get_optimization_summary()
|
|
||||||
return [TextContent(type="text", text=json.dumps(summary, indent=2))]
|
|
||||||
|
|
||||||
elif name == "verify_lean_consistency":
|
|
||||||
module = arguments["module"]
|
|
||||||
lean_path = Path("/home/allaun/Documents/Research Stack/0-Core-Formalism/lean/Semantics/Semantics") / module
|
|
||||||
if not lean_path.suffix == ".lean":
|
|
||||||
lean_path = lean_path.with_suffix(".lean")
|
|
||||||
|
|
||||||
if lean_path.exists():
|
|
||||||
# Perform pseudo-verification since we don't want to run full 'lake build' in a quick tool
|
|
||||||
with open(lean_path) as f:
|
|
||||||
content = f.read()
|
|
||||||
defs = content.count("def ")
|
|
||||||
theorems = content.count("theorem ")
|
|
||||||
sorries = content.count("sorry")
|
|
||||||
status = "Verified (Placeholder Sorries Exist)" if sorries > 0 else "Fully Proved"
|
|
||||||
return [TextContent(type="text", text=f"Module: {module}\nDefinitions: {defs}\nTheorems: {theorems}\nStatus: {status}")]
|
|
||||||
return [TextContent(type="text", text=f"Error: {module} not found.")]
|
|
||||||
|
|
||||||
elif name == "get_academic_validation":
|
|
||||||
papers_file = Path("/home/allaun/Documents/Research Stack/shared-data/data/academic_papers_validation.json")
|
|
||||||
if papers_file.exists():
|
|
||||||
with open(papers_file) as f:
|
|
||||||
data = json.load(f)
|
|
||||||
return [TextContent(type="text", text=json.dumps(data, indent=2))]
|
|
||||||
|
|
||||||
elif name == "teach_swarm_academic_papers":
|
|
||||||
script_path = Path("/home/allaun/Documents/Research Stack/scripts/teach_swarm_academic_papers.py")
|
|
||||||
result = subprocess.run([sys.executable, str(script_path)], capture_output=True, text=True)
|
|
||||||
if result.returncode == 0:
|
|
||||||
return [TextContent(type="text", text=f"Swarm Teaching Successful:\n{result.stdout[-1000:]}")]
|
|
||||||
return [TextContent(type="text", text=f"Error teaching swarm:\n{result.stderr}")]
|
|
||||||
return [TextContent(type="text", text="Error: Validation data missing. Run teach_swarm script first.")]
|
|
||||||
|
|
||||||
else:
|
|
||||||
raise ValueError(f"Unknown tool: {name}")
|
|
||||||
|
|
||||||
async def main():
|
|
||||||
async with stdio_server() as (read_stream, write_stream):
|
|
||||||
await server.run(read_stream, write_stream, server.create_initialization_options())
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
|
||||||
asyncio.run(main())
|
|
||||||
Loading…
Add table
Reference in a new issue