AI Agent vs MCP Server: Architecture, Tools & Security
Distinguish an AI agent from an MCP server using architecture, tool execution, authorization and failure examples. Decide which layer your application needs.
04 / Category
Engineering
Rust, backend infrastructure, performance, scaling, architecture and SDK engineering — how Theaimart systems are built.
- Rust
- Backend infrastructure
- Performance
- Scaling
- Architecture
- SDK engineering
- Systems engineering
- Benchmarks
How to Build an AI Agent in Rust: Tool Calling & Error Handling
Build a bounded Rust agent with a local Ollama model, validated tool arguments, checked arithmetic and explicit failure handling. Includes runnable source and tests.
4 min read
API Rate Limiting: Algorithms and a Tested Token Bucket
Choose API rate-limit algorithms, run a tested Python token bucket, and understand concurrency, distributed atomicity, retries and quota boundaries.
5 min read
How to Build an MCP Server in Python: Complete Tutorial
Build a read-only inventory MCP server with the official Python SDK v2, then test discovery, typed results, errors and actual stdio subprocess execution.
7 min read
Caching and Observability for LLM Applications
Implement a tested scoped TTL cache and design privacy-aware LLM telemetry that separates logical requests, provider attempts and useful outcomes.
5 min read
Building Reliable AI Backends With Rust
Design bounded AI backend work in Rust with a tested admission primitive, explicit cancellation behavior, deadlines and operational failure boundaries.
5 min read
Rust vs Python for AI Backend Services
Compare Rust and Python for AI backend services by workload, ownership, ecosystem, team skills and operational cost without unsupported speed benchmarks.
5 min read
Building Secure AI API Gateways: Boundaries and Controls
Design an AI API gateway around identity, fixed provider destinations, usage budgets, safe errors and tool authorization, with a tested example boundary.
5 min read
What Is an MCP Server? Architecture, Examples and Uses
Understand MCP servers, hosts and clients, capability discovery, current transports and the security boundaries around external tools and data.
4 min read
Where to Publish an MCP Server in 2026
Separate MCP package distribution, registry discovery and remote hosting, then prepare versioned artifacts, installation instructions and security disclosures.
4 min read
Understanding AI Safety: Protecting Users in the Age of Artificial Intelligence
Comprehensive guide to AI safety measures, best practices for secure AI applications, and how to protect user data in AI-powered systems.
3 min read