10 Tools For Building MCP Servers

Model Context Protocol (MCP) has been the talk of the town in 2025. It’s the next stage in the evolution of AI, forging a vital link between the chat-centric format of early LLMs and AI becoming fully agentic. The industry has responded with a flood of genuinely impressive MCP servers. Luckily, this surge in interest has caused a number of excellent, innovative tools allowing users to automatically translate APIs into MCP resources.

From open-source to commercial options, there are many solutions to convert a well-defined API into functional MCP tools. To help you learn which tools will be most helpful in building MCP servers, here are ten tools for building MCP servers for you to try out. Most are able to quickly convert an OpenAPI specification into an MCP server, ready for AI agents to consume.

Tools for Building MCP Servers: Quick Comparison Tool Name Language Static or Dynamic Auth Support Special Features Best For Hosted or CLI Tyk API-to-AI Go + Gateway Dynamic Governance, observability, rate limiting Enterprise teams with existing Tyk usage Hosted (via Tyk) Speakeasy TypeScript Static SDK integration, Zod validation Teams using SDKs, Speakeasy ecosystem CLI + SDK MCP.Link Go (Vercel) Dynamic Zero-install, browser-based builder Non-devs, rapid prototyping, no local setup Hosted AI-Create Go Static Claude integration, Inspector tool Debugging MCPs, Claude developers CLI OpenAPI‑to‑MCPServer Go Static CLI flags for output and naming Simple YAML/JSON conversion for gateway usage CLI openapi‑mcp‑generator TypeScript Static OAuth2, proxy, auto Zod, typed server generation TypeScript users needing robust MCP generation CLI openapi-mcp Go Static Structured errors, AI-focused JSON formatting Go devs building lightweight AI-aware MCP servers Library MCPGen Go Static Single-command server creation Quick-start operational MCP server generation CLI FastMCP Python Static & Dynamic Tool decorators, composition, test harness Python devs wanting flexibility & control Library OpenAPI-MCP Python Dynamic (OAuth2) Live proxy server, no recompile Fast-changing APIs needing live updates Library/Proxy Tyk API-to-AI

Tyk API-to-AI is a tool for translating APIs into resources that AI can interact with. Unlike the other MCP tools on this list, Tyk’s API to MCP converter is a whole management ecosystem, handling governance, access control, and monitoring through one location. For anyone looking for an API management system that can also turn your APIs into MCP servers or for anyone already using Tyk, its API-to-AI tool is truly impressive.

Speakeasy

Speakeasy offers a fully integrated MCP generator that creates MCP servers from OpenAPI definitions and then inserts them into an SDK. It also provides type-safe validation via zod, adding an additional level of security and stability. Users who already use Speakeasy or plan on needing to add MCP servers to SDKs should consider Speakeasy’s API to MCP tool.

MCP.Link

MCP Link is a tool for converting APIs to MCP created by Automation AI lab using the Vercel platform. Unlike the other tools we’ve mentioned, MCP.Link doesn’t require anything to be installed locally. You just have to link to your OpenAPI specification through MCP.Link and specify how you’d like to customize the MCP server, and you’ll have a working MCP server with the click of one button.

Ai-Create

Ai-Create by XXLV is another tool written in Go for converting OpenAPI definitions into MCP servers. Like many of the other CLI tools we’ve mentioned, Ai-Create is easy to use, as it can be invoked with a simple command. Although it’s easy to use, it’s still widely customizable, with numerous flags that allow users to specify everything from OASPath to version. Ai-Create’s main distinction is the inspector feature, enabling the ability to analyze and debug an MCP server. It also has native support for integrating tools into Claude. If you’re looking for a tool for debugging MCP tools or want to integrate MCP servers into a Claude environment, Ai-Create is worth a look.

OpenAPI‑to‑MCPServer

Higress Group OpenAPI to MCP is a lightweight tool written in Go that converts OpenAPI specifications into YAML or JSON which are ready to be deployed by the Higress API Gateway. All you have to do is supply the OpenAPI spec using the –input flag and specify the name of the output using –output. You can even name the MCP server directly from the command line. This makes OpenAPI to MCP Server perfect for teams that want to convert an API into an MCP server without involving any third-party tools.

openapi‑mcp‑generator

OpenAPI-to-mcpserver is another CLI tool that converts OpenAPI specifications to MCP servers. It’s just as easy to use as openapi-to-mcp but it’s even more robust, offering built-in authentication support, the ability to create proxies, and automated Zod schema generation. Openapi-mcp-generator even creates a fully-typed server using TypeScript, making it a good pick for anyone who’s already using that language.

openapi-mcp

Jedisct1 openapi-mcp is a lightweight Go library for transforming OpenAPI specs into AI-accessible tools. It provides structured error handling and efficient JSON output formatting. Most impressively, openapi-mcp provides detailed, granular control over endpoint behavior. It even offers native support for formatting responses, designed for easy parsing by AI agents. Openapi-mcp is a good choice for anyone looking for tools for building MCP servers in the code itself.

Also read: Comparing 7 AI Agent-to-API Standards mcpgen

Where Jedisc1’s OpenAPI to MCP is designed to be as lightweight as possible, MCPGen by Lyeslab is intended to create fully functional MCP servers with a single command. Anyone looking to develop operational MCP servers in a minute or less would do well to give mcpgen a try.

FastMCP

FastMCP is a high-level Python package for generating MCP servers from OpenAPI specifications. It allows Python tools to be exposed as tools using a simple operator. It also offers support for resources, context, prompts, composition, authorization, and testing. It’s designed to be fast and easy, letting you create a working MCP server in no time. FastMCP is an ideal choice for developers working in Python.

OpenAPI-MCP

OpenAPI to Model Context Protocol (MCP) is a Python package for converting OpenAPI specifications (OAS) to MCP servers. Unlike the other OAS-to-MCP tools on our list, OpenAPI to Model Context Protocol is a dynamic proxy, meaning it generates the MCP server in real time rather than needing to be re-compiled every time a change is made. It also has built-in support for OAuth2 authentication flows, making OpenAPI to Model Context Protocol a good choice for anyone planning on handling a lot of authorization or editing a lot of MCPs.

Honorable Mentions

More API to MCP generators have emerged since we put this list together. If you have any recommendations on other tools, please mention them in the comments below. We’ll try to keep this post updated.

Gram

Gram is a new tool from Speakeasy for converting OpenAPI to MCP. Instead of building a new tool for each connection, Gram creates a wrapper for each endpoint so that an AI can easily invoke them. This essentially makes your APIs plug-and-play in your AI ecosystem. If you’re looking for a tool that can quickly convert any API into an MCP server, you should absolutely give Gram a try.

Final Thoughts on Tools for Building MCP Servers

Technical innovations can be a double-edged sword. When an innovative new product comes along, there’s no denying its impressiveness and innovation. There’s a genuine rush of excitement, where it seems like all the best and brightest in our industry are breathlessly rushing to create and share new content showcasing the new technology’s ability. It’s legitimately exciting and inspiring.

There can be a hidden downside to new tech, though. A new product or trend can often mean more to do when many of us are barely keeping up with our daily demands. For the latest tech to truly be exciting, it should save us time, not give us more work.

Therefore, selecting tools to build MCP servers will come down to the ease of use and the total value of adopting MCP as a whole. To sum up our MCP generator roundup, here are some final recommendations:

• If you’re looking for command line tools for converting OpenAPI to MCP, you might try OpenAPI‑to‑MCPServer, openapi-mcp-generator, mcpgen, or AI-Create.
• If you’re looking for Python packages to translate OpenAPI specs into MCP, try FastMCP and OpenAPI-MCP.
• If you’re already using the Tyk system, you might try Tyk API-to-MCP.
• If you’re looking for a standalone tool to generate MCP servers from OpenAPI specs, try Speakeasy.