Full lifecycle pipeline for Model Context Protocol (MCP) servers: schema contracts, FastAPI endpoints, tool discovery, and verification audits.

MCP Agent Builder & Server Framework

An end-to-end framework for scaffolding, verifying, and deploying high-performance Model Context Protocol (MCP) servers in Python (FastAPI/AnyIO) and Node.js.

Core Capabilities

• Schema Autodiscovery: Automated translation of standard Python type hints and Pydantic models into valid JSON-RPC 2.0 tool definitions.
• Resource Streaming: High-throughput file and database record streaming across standard input/output (stdio) and Server-Sent Events (SSE).
• Zero-Latency Tool Dispatch: Async concurrency handlers with input sanitization and execution sandboxing.

# Example MCP Tool Scaffold
from mcp.server.fastmcp import FastMCP

mcp = FastMCP("production-agent-gateway")

@mcp.tool()
async def search_database(query: str, limit: int = 10) -> str:
    """Execute high-speed vector and semantic search across knowledge records."""
    results = await db_service.vector_search(query=query, top_k=limit)
    return results.to_json()

Architecture Flow

1. Client Handshake: Host LLM agent initiates connection over stdio / SSE.
2. Contract Registration: Capabilities negotiation and schema validation.
3. Execution Guardrails: Rate limits, telemetry logging, and output parsing.