Why Python is Holding Back MCPs & How WASM Unlocks the Future

Efficiency – A non-negotiable attribute 

“We are what we repeatedly do. Excellence, then, is not an act, but a habit.” - Aristotle. 
 

As systems builders we can take a leaf out of Aristotle’s book and imbibe the quality that efficiency must be a habit baked into infrastructure design, not an afterthought. 

Model Context Protocols (MCPs) are quickly becoming the backbone of serious agentic applications. They define how AI agents talk to data sources, services, and systems of record. But here’s the problem: most MCPs today are written in Python. 

That choice might feel comfortable in the AI ecosystem, but for enterprise-grade workloads, Python is a giant step backward. For three decades the data center and cloud vendors have relentlessly driven efficiency—packing more cores, more VMs, and more containers into every rack unit, and optimizing for throughput per watt. Python, with its interpreted runtime, memory overhead, and dependency sprawl, stands in direct contradiction to that trajectory. 

Efficiency Is Non-Negotiable 

The last 30 years of infrastructure innovation can be summarized in one phrase: do more with less. 

Virtualization: Consolidated workloads onto fewer physical servers. 

Containers: Reduced OS overhead to improve density. 

Core scaling: Modern CPUs now run 64, 96, or even 128 cores, demanding efficient horizontal workloads. 

Enterprises spend billions on squeezing every drop of performance from their infrastructure. Why should the MCP layer - soon to handle workflows in finance, supply chain, healthcare, and compliance - be exempt? 

WASM as the Right Runtime 

The alternative is clear: WebAssembly (WASM). WASM is portable, secure, and performant, making it an ideal foundation for MCPs. Its benefits include: 

Portability: Run anywhere - bare metal, VMs, containers, or across multi-cloud. 

Safety: Sandboxed execution with reduced attack surface. 

Performance: Near-native speeds with deterministic runtime behavior. 

And with WASM3, the most advanced WASM interpreter, things get even better. WASM3 now supports: 

SIMD: Accelerated vectorized operations, essential for data-heavy tasks. 

64-bit memory: Unlocks workloads that demand massive data handling. 

Garbage collection (GC): Enables more sophisticated language runtimes on WASM. 

This means MCPs no longer have to compromise. They can run efficiently, scale predictably, and handle the most demanding enterprise workloads. 

WIDL + Multi-Language MCPs 

At Weilliptic, we’ve re-imagined the MCP layer. Instead of binding developers to Python, we provide a WIDL (Weilliptic Interface Definition Language) framework that allows MCPs to be written in Rust, Golang, C++, and AssemblyScript—then compiled into WASM modules. 

This approach offers four decisive advantages: 

Language Choice Without Compromise 
Developers use the right tool for the job: Rust for safety, concurrency, efficiency Golang for concurrency, C++ for ultra-low-latency tasks, or AssemblyScript for accessibility. 

Deterministic Contracts with WIDL 
Every MCP is defined with precise schemas for inputs, outputs, and execution semantics. Ambiguity disappears, compatibility is guaranteed. 

Operational Efficiency 
WASM MCPs run at densities Python cannot approach—thousands per node, each with predictable latency. 

Cryptographic Security 
Every MCP deployed on WeilChain benefits from a cryptographically secure execution environment, designed to be immune to cybersecurity attacks. State proofs, threshold signatures, and deterministic consensus ensure tamper-resistance and verifiability by design. 

Why This Matters 

Agentic AI is leaving the lab and entering the enterprise. When agents orchestrate financial transactions, healthcare records, or government workflows, the stakes are existential. 

Latency matters for real-time decisioning. 

Density matters for cost efficiency. 

Security matters because an exploited MCP could be catastrophic. 

The industry cannot afford to take shortcuts by clinging to Python. WASM3’s advancements, paired with WIDL-defined, cryptographically secure deployment on WeilChain, represent the right step forward for serious agentic infrastructure. 

Conclusion 

The AI ecosystem inherited Python, but the enterprise world doesn’t have to. Just as virtualization unshackled compute, and containers unshackled workloads, WASM unshackles MCPs from inefficiency and insecurity. 

The future of MCPs is: 

Multi-language. Write in Rust, Golang, C++, AssemblyScript. 

WASM-based. Secure, portable, near-native runtime. 

WIDL-defined. Deterministic contracts across environments. 

Cryptographically secured. Immune to tampering, verified by design. 

At Weilliptic, we’re not just making MCPs faster—we’re making them future-proof. WeilChain is the underlying engine that powers everything and make everything chime.