When you're building MCP servers or clients at scale, your SDK choice isn't just about syntax preferences. It determines your deployment footprint, how easily you integrate with existing infrastructure, and whether your team can maintain velocity as requirements evolve.
Note: Stainless currently supports automatic MCP server generation only in TypeScript. Python and Go SDKs are fully supported for client-side usage and conceptual examples, but server code must be written or generated in TypeScript.
This guide compares the three official MCP SDKs across implementation patterns, performance characteristics, ecosystem maturity, and integration with the Stainless platform. You'll see code examples for the same functionality in each language, understand the trade-offs for production deployments, and get clear decision criteria based on your team's specific needs and existing stack.
Why SDK choice matters for MCP
The Model Context Protocol (MCP) is a standard for how applications provide context and actions to large language models, representing a fundamental shift from API-based to MCP-based architectures. An MCP SDK is a language-specific library that handles the protocol details, letting you build clients or servers without reinventing the wheel. While the protocol is the same across languages, your choice of SDK significantly impacts developer velocity, deployment footprint, and long-term maintenance.
Your decision determines how easily your team can integrate with your existing stack, how the server or client performs under load, and what kind of tooling is available to you. For instance, Stainless lets you automatically generate a TypeScript MCP server from an OpenAPI spec, dramatically speeding up development.
Quick comparison of SDKs
Python | TypeScript | Go | |
---|---|---|---|
Primary Use Case | Rapid scripting, data-science clients | Full-stack development, auto-generated servers and clients | High-performance microservices and clients |
Maturity | Mature and widely adopted client library | Mature and feature-rich generator and client | Stable and production-ready client library |
Stainless Integration | Client consumption only (server generation not supported) | First-class support for auto-generating MCP servers and clients | Client consumption only (server generation not supported) |
Install the SDKs
Below are commands for installing the TypeScript server package you generate with Stainless, plus conceptual examples for Python and Go client libraries. Server generation via Stainless is currently supported only in TypeScript.
# Install your newly generated TypeScript MCP server package npm
# Hypothetical Python client library (conceptual example)
# Hypothetical Go client library (conceptual example) go get
After installation, a great first step is to run the MCP Inspector tool against a simple server to ensure the connection and basic message passing are working correctly.
Compare core implementation patterns
Let's illustrate the same simple “echo” functionality in each language. The TypeScript example below uses a server generated by Stainless. Python and Go examples show conceptual or hypothetical MCP libraries for client or server use, but note that Stainless server generation is TypeScript-only.
Server setup syntax
TypeScript (Stainless-generated)
import { initMcpServer, server } from "my-org-name-mcp/server"; initMcpServer({ server, endpoints: [ { metadata: { resource: "echo" }, tool: { name: "echo", description: "Echo a given text input", inputSchema: { type: "object", properties: { text: { type: "string" } }, required: ["text"], }, }, handler: async (_client, args) => { return { content: [{ type: "text", text: args.text }] }; }, }, ], }); // Run the server: // npx -y my-org-name-mcp --port=3000
Tool definition syntax
Python: Uses Pydantic models for schema definition and validation—excellent for client-side validation or conceptual server implementations.
TypeScript: The generated code embeds JSON Schemas for each tool, giving you full type safety and editor autocompletion.
Go: Employs Go structs and tags for runtime validation in clients or conceptual servers.
Transport options
All three SDKs support standard MCP transports, but maturity varies:
Stdio: All have parity for local development and desktop clients.
HTTP/SSE: Python and TypeScript SDKs offer mature HTTP and Server-Sent Events implementations. Go’s HTTP/SSE support is efficient but typically used client-side in Go programs.
Container Readiness: TypeScript servers run on Node.js. Go clients compile to static binaries for easy containerization, and Python clients fit well into Python-based containers.
Measure production performance
Go: Lightweight goroutines and channels make Go clients highly efficient for concurrent workloads.
TypeScript (Node.js): Single-threaded non-blocking event loop excels at I/O-bound server tasks when auto-generated via Stainless.
Python:
asyncio
offers an event-loop model, ideal for I/O-bound client scenarios; CPU-bound tasks may require multiprocessing due to the GIL.
Evaluate ecosystem and tooling
Package Ecosystem: Python and TypeScript have vast ecosystems; Go’s ecosystem is more focused on infrastructure.
IDE Support: All three boast strong editor integrations; TypeScript with VS Code offers the richest UX for generated servers.
Testing Frameworks: Pytest (Python), Jest (TypeScript), and Go’s built-in
testing
package.CI/CD and Deployment: Stainless automates TypeScript MCP server generation as part of your build pipeline. Python and Go clients integrate seamlessly into existing pipelines.
Choose the right SDK for your team
TypeScript: If you want to auto-generate your MCP server from an OpenAPI spec and benefit from first-class Stainless support.
Python: If your team focuses on data science, scripting, or needs a flexible client to consume MCP services.
Go: If you require high-performance clients or microservices with minimal resource usage.
A common pattern is to generate a TypeScript server with Stainless's OpenAPI-to-MCP generator and build specialized clients in Python or Go.
Frequently asked questions about MCP SDK selection
How do I manage a multi-language project with MCP?
MCP is a protocol, so a TypeScript server can be consumed by Python, Go, or any other MCP-capable client, ensuring full interoperability.
What is the migration path between SDKs?
Since clients and servers are decoupled, you can run a new TypeScript server in parallel with legacy clients and gradually migrate traffic.
Does Stainless have a preferred SDK?
Stainless currently generates MCP servers in TypeScript. Client libraries in Python and Go remain conceptual or community-supported.
Is there feature parity across SDK releases?
The core MCP spec is implemented across all official SDKs. New protocol features land first in TypeScript and Python; Go follows. Check each SDK’s release notes.
What about enterprise-readiness?
TypeScript servers (via Stainless) and Go clients are robust choices for high-scale environments. You can automate OAuth tooling, pagination helpers, and custom code injection that persists through regeneration.
Ready to build your own MCP server? Get started for free.
When you're building MCP servers or clients at scale, your SDK choice isn't just about syntax preferences. It determines your deployment footprint, how easily you integrate with existing infrastructure, and whether your team can maintain velocity as requirements evolve.
Note: Stainless currently supports automatic MCP server generation only in TypeScript. Python and Go SDKs are fully supported for client-side usage and conceptual examples, but server code must be written or generated in TypeScript.
This guide compares the three official MCP SDKs across implementation patterns, performance characteristics, ecosystem maturity, and integration with the Stainless platform. You'll see code examples for the same functionality in each language, understand the trade-offs for production deployments, and get clear decision criteria based on your team's specific needs and existing stack.
Why SDK choice matters for MCP
The Model Context Protocol (MCP) is a standard for how applications provide context and actions to large language models, representing a fundamental shift from API-based to MCP-based architectures. An MCP SDK is a language-specific library that handles the protocol details, letting you build clients or servers without reinventing the wheel. While the protocol is the same across languages, your choice of SDK significantly impacts developer velocity, deployment footprint, and long-term maintenance.
Your decision determines how easily your team can integrate with your existing stack, how the server or client performs under load, and what kind of tooling is available to you. For instance, Stainless lets you automatically generate a TypeScript MCP server from an OpenAPI spec, dramatically speeding up development.
Quick comparison of SDKs
Python | TypeScript | Go | |
---|---|---|---|
Primary Use Case | Rapid scripting, data-science clients | Full-stack development, auto-generated servers and clients | High-performance microservices and clients |
Maturity | Mature and widely adopted client library | Mature and feature-rich generator and client | Stable and production-ready client library |
Stainless Integration | Client consumption only (server generation not supported) | First-class support for auto-generating MCP servers and clients | Client consumption only (server generation not supported) |
Install the SDKs
Below are commands for installing the TypeScript server package you generate with Stainless, plus conceptual examples for Python and Go client libraries. Server generation via Stainless is currently supported only in TypeScript.
# Install your newly generated TypeScript MCP server package npm
# Hypothetical Python client library (conceptual example)
# Hypothetical Go client library (conceptual example) go get
After installation, a great first step is to run the MCP Inspector tool against a simple server to ensure the connection and basic message passing are working correctly.
Compare core implementation patterns
Let's illustrate the same simple “echo” functionality in each language. The TypeScript example below uses a server generated by Stainless. Python and Go examples show conceptual or hypothetical MCP libraries for client or server use, but note that Stainless server generation is TypeScript-only.
Server setup syntax
TypeScript (Stainless-generated)
import { initMcpServer, server } from "my-org-name-mcp/server"; initMcpServer({ server, endpoints: [ { metadata: { resource: "echo" }, tool: { name: "echo", description: "Echo a given text input", inputSchema: { type: "object", properties: { text: { type: "string" } }, required: ["text"], }, }, handler: async (_client, args) => { return { content: [{ type: "text", text: args.text }] }; }, }, ], }); // Run the server: // npx -y my-org-name-mcp --port=3000
Tool definition syntax
Python: Uses Pydantic models for schema definition and validation—excellent for client-side validation or conceptual server implementations.
TypeScript: The generated code embeds JSON Schemas for each tool, giving you full type safety and editor autocompletion.
Go: Employs Go structs and tags for runtime validation in clients or conceptual servers.
Transport options
All three SDKs support standard MCP transports, but maturity varies:
Stdio: All have parity for local development and desktop clients.
HTTP/SSE: Python and TypeScript SDKs offer mature HTTP and Server-Sent Events implementations. Go’s HTTP/SSE support is efficient but typically used client-side in Go programs.
Container Readiness: TypeScript servers run on Node.js. Go clients compile to static binaries for easy containerization, and Python clients fit well into Python-based containers.
Measure production performance
Go: Lightweight goroutines and channels make Go clients highly efficient for concurrent workloads.
TypeScript (Node.js): Single-threaded non-blocking event loop excels at I/O-bound server tasks when auto-generated via Stainless.
Python:
asyncio
offers an event-loop model, ideal for I/O-bound client scenarios; CPU-bound tasks may require multiprocessing due to the GIL.
Evaluate ecosystem and tooling
Package Ecosystem: Python and TypeScript have vast ecosystems; Go’s ecosystem is more focused on infrastructure.
IDE Support: All three boast strong editor integrations; TypeScript with VS Code offers the richest UX for generated servers.
Testing Frameworks: Pytest (Python), Jest (TypeScript), and Go’s built-in
testing
package.CI/CD and Deployment: Stainless automates TypeScript MCP server generation as part of your build pipeline. Python and Go clients integrate seamlessly into existing pipelines.
Choose the right SDK for your team
TypeScript: If you want to auto-generate your MCP server from an OpenAPI spec and benefit from first-class Stainless support.
Python: If your team focuses on data science, scripting, or needs a flexible client to consume MCP services.
Go: If you require high-performance clients or microservices with minimal resource usage.
A common pattern is to generate a TypeScript server with Stainless's OpenAPI-to-MCP generator and build specialized clients in Python or Go.
Frequently asked questions about MCP SDK selection
How do I manage a multi-language project with MCP?
MCP is a protocol, so a TypeScript server can be consumed by Python, Go, or any other MCP-capable client, ensuring full interoperability.
What is the migration path between SDKs?
Since clients and servers are decoupled, you can run a new TypeScript server in parallel with legacy clients and gradually migrate traffic.
Does Stainless have a preferred SDK?
Stainless currently generates MCP servers in TypeScript. Client libraries in Python and Go remain conceptual or community-supported.
Is there feature parity across SDK releases?
The core MCP spec is implemented across all official SDKs. New protocol features land first in TypeScript and Python; Go follows. Check each SDK’s release notes.
What about enterprise-readiness?
TypeScript servers (via Stainless) and Go clients are robust choices for high-scale environments. You can automate OAuth tooling, pagination helpers, and custom code injection that persists through regeneration.
Ready to build your own MCP server? Get started for free.
When you're building MCP servers or clients at scale, your SDK choice isn't just about syntax preferences. It determines your deployment footprint, how easily you integrate with existing infrastructure, and whether your team can maintain velocity as requirements evolve.
Note: Stainless currently supports automatic MCP server generation only in TypeScript. Python and Go SDKs are fully supported for client-side usage and conceptual examples, but server code must be written or generated in TypeScript.
This guide compares the three official MCP SDKs across implementation patterns, performance characteristics, ecosystem maturity, and integration with the Stainless platform. You'll see code examples for the same functionality in each language, understand the trade-offs for production deployments, and get clear decision criteria based on your team's specific needs and existing stack.
Why SDK choice matters for MCP
The Model Context Protocol (MCP) is a standard for how applications provide context and actions to large language models, representing a fundamental shift from API-based to MCP-based architectures. An MCP SDK is a language-specific library that handles the protocol details, letting you build clients or servers without reinventing the wheel. While the protocol is the same across languages, your choice of SDK significantly impacts developer velocity, deployment footprint, and long-term maintenance.
Your decision determines how easily your team can integrate with your existing stack, how the server or client performs under load, and what kind of tooling is available to you. For instance, Stainless lets you automatically generate a TypeScript MCP server from an OpenAPI spec, dramatically speeding up development.
Quick comparison of SDKs
Python | TypeScript | Go | |
---|---|---|---|
Primary Use Case | Rapid scripting, data-science clients | Full-stack development, auto-generated servers and clients | High-performance microservices and clients |
Maturity | Mature and widely adopted client library | Mature and feature-rich generator and client | Stable and production-ready client library |
Stainless Integration | Client consumption only (server generation not supported) | First-class support for auto-generating MCP servers and clients | Client consumption only (server generation not supported) |
Install the SDKs
Below are commands for installing the TypeScript server package you generate with Stainless, plus conceptual examples for Python and Go client libraries. Server generation via Stainless is currently supported only in TypeScript.
# Install your newly generated TypeScript MCP server package npm
# Hypothetical Python client library (conceptual example)
# Hypothetical Go client library (conceptual example) go get
After installation, a great first step is to run the MCP Inspector tool against a simple server to ensure the connection and basic message passing are working correctly.
Compare core implementation patterns
Let's illustrate the same simple “echo” functionality in each language. The TypeScript example below uses a server generated by Stainless. Python and Go examples show conceptual or hypothetical MCP libraries for client or server use, but note that Stainless server generation is TypeScript-only.
Server setup syntax
TypeScript (Stainless-generated)
import { initMcpServer, server } from "my-org-name-mcp/server"; initMcpServer({ server, endpoints: [ { metadata: { resource: "echo" }, tool: { name: "echo", description: "Echo a given text input", inputSchema: { type: "object", properties: { text: { type: "string" } }, required: ["text"], }, }, handler: async (_client, args) => { return { content: [{ type: "text", text: args.text }] }; }, }, ], }); // Run the server: // npx -y my-org-name-mcp --port=3000
Tool definition syntax
Python: Uses Pydantic models for schema definition and validation—excellent for client-side validation or conceptual server implementations.
TypeScript: The generated code embeds JSON Schemas for each tool, giving you full type safety and editor autocompletion.
Go: Employs Go structs and tags for runtime validation in clients or conceptual servers.
Transport options
All three SDKs support standard MCP transports, but maturity varies:
Stdio: All have parity for local development and desktop clients.
HTTP/SSE: Python and TypeScript SDKs offer mature HTTP and Server-Sent Events implementations. Go’s HTTP/SSE support is efficient but typically used client-side in Go programs.
Container Readiness: TypeScript servers run on Node.js. Go clients compile to static binaries for easy containerization, and Python clients fit well into Python-based containers.
Measure production performance
Go: Lightweight goroutines and channels make Go clients highly efficient for concurrent workloads.
TypeScript (Node.js): Single-threaded non-blocking event loop excels at I/O-bound server tasks when auto-generated via Stainless.
Python:
asyncio
offers an event-loop model, ideal for I/O-bound client scenarios; CPU-bound tasks may require multiprocessing due to the GIL.
Evaluate ecosystem and tooling
Package Ecosystem: Python and TypeScript have vast ecosystems; Go’s ecosystem is more focused on infrastructure.
IDE Support: All three boast strong editor integrations; TypeScript with VS Code offers the richest UX for generated servers.
Testing Frameworks: Pytest (Python), Jest (TypeScript), and Go’s built-in
testing
package.CI/CD and Deployment: Stainless automates TypeScript MCP server generation as part of your build pipeline. Python and Go clients integrate seamlessly into existing pipelines.
Choose the right SDK for your team
TypeScript: If you want to auto-generate your MCP server from an OpenAPI spec and benefit from first-class Stainless support.
Python: If your team focuses on data science, scripting, or needs a flexible client to consume MCP services.
Go: If you require high-performance clients or microservices with minimal resource usage.
A common pattern is to generate a TypeScript server with Stainless's OpenAPI-to-MCP generator and build specialized clients in Python or Go.
Frequently asked questions about MCP SDK selection
How do I manage a multi-language project with MCP?
MCP is a protocol, so a TypeScript server can be consumed by Python, Go, or any other MCP-capable client, ensuring full interoperability.
What is the migration path between SDKs?
Since clients and servers are decoupled, you can run a new TypeScript server in parallel with legacy clients and gradually migrate traffic.
Does Stainless have a preferred SDK?
Stainless currently generates MCP servers in TypeScript. Client libraries in Python and Go remain conceptual or community-supported.
Is there feature parity across SDK releases?
The core MCP spec is implemented across all official SDKs. New protocol features land first in TypeScript and Python; Go follows. Check each SDK’s release notes.
What about enterprise-readiness?
TypeScript servers (via Stainless) and Go clients are robust choices for high-scale environments. You can automate OAuth tooling, pagination helpers, and custom code injection that persists through regeneration.
Ready to build your own MCP server? Get started for free.