AI · alternatives · 2026
24 alternatives to mcp-golang – Build custom tools for LLMs in go
Anthropic released the Model Context Protocol a couple weeks ago - https://www.anthropic.com/news/model-context-protocol. They have official sdks for python and typescript but nothing for go, so I wrote one! The main goal is to provide a low boilerplate sdk to write MCP servers, you can spin up a server which can give an LLM access to weather forecasts like this: https://github.com/metoro-io/mcp-golang/blob/main/examples/g... . Using it here: https://youtu.be/xaMkMl_R-0A The library handles generating all the MCP…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 2 we have checked on their own sites, 2 of them free or with a free tier. mcp-golang – Build custom tools for LLMs in go launched in 2024; newer entries below may have overtaken it.
- 1
Code Mode▲144I’ve been testing a simple idea inspired by Apple/Cloudflare/Anthropic: LLMs are far better at writing a small program than coordinating multiple tool calls. So instead of giving the model 10+ tools, I exposed one: a TypeScript sandbox with access to the same interfaces. The model writes a script → it runs once → done. What changed - +68% reduction in token use - No multi-step drift or retries - Local models (Llama 3.1 8B / Phi-3) became much more reliable Repo: https://github.com/universal-tool-calling-protocol/code-mode Curious whether others have seen…
Nov 2025 · github.com · its alternatives →
- 2
mcp-usefree tier, from $25/mo▲581Hi HN, Luigi here. We maintain mcp-use an open-source TypeScript framework for building MCP servers and MCP Apps: https://github.com/mcp-use/mcp-use MCP is now (finally) stateless so we rewrote mcp-use v2 from scratch for the 2026-07-28 MCP spec revision: https://blog.modelcontextprotocol.io/posts/2026-07-28/ Thanks to the rebuild: - Throughput: +27% → from 8,615 to 10,982 median ops/sec - Cold launch: 2.2x faster → from 151.6 ms to 68.1 ms - Clean install: 82% smaller → from 404.6 MiB to 74.4 MiB Benchmark with methodology here:…
2025 · manufact.com · its alternatives →
- 3
This is an open‑source Model Context Protocol (MCP) server that gives any LLM a sense of the passage of time. Most MCP demos wire LLMs to external data stores. That’s useful, but MCP is also a chance to give models perception — extra senses beyond the prompt text. Six functions (`current_datetime`, `time_difference`, `timestamp_context`, etc.) give Claude/GPT real temporal awareness: It can spot pauses, reason about rhythms, and even label a chat’s “three‑act structure”. Runs locally in <60 s (Python) or via a hosted demo. If time works, what else could we surface? - Location /…
2025 · github.com · its alternatives →
- 4
Hi HN A few folks and I have been working on this project for a couple weeks now. After previously working on the Docker project for a number of years (both on the container runtime and image registry side), the recent rise in open source language models made us think something similar needed to exist for large language models too. While not exactly the same as running linux containers, running LLMs shares quite a few of the same challenges. There are "base layers" (e.g. models like Llama 2), specific configuration to run correctly (parameters, temperature, context window sizes etc). There's…
2023 · github.com · its alternatives →
- 5
Hi HN -- Since Anthropic announced the Model Context Protocol (MCP) last week [1], I've been excited about giving Claude new capabilities through my custom servers. But while MCP is powerful, implementing the protocol correctly requires a lot of low-level boilerplate code. I found myself wanting something like FastAPI - a high-level framework that would let me focus on building features, not servers. After some hacking, I'm sharing FastMCP: a Pythonic framework for building MCP servers. FastMCP uses decorators to transform normal functions into MCP tools, resources, templates, and prompts,…
2024 · github.com · its alternatives →
- 6ST
Hi! After learning about MCP, I'm really excited about the future of provider-agnostic, re-usable tooling. Unfortunately I've found that while it's easy to implement an MCP server for use with tools that support it (such as Claude Desktop), it's not as easy to implement your own support (such as integrating an MCP server into your own LLM application). We implemented a thin MCP wrapper that easily integrates with Mirascope calls so that you can hook up an MCP server and client super easily to any supported LLM provider. Excited to see what people build with this!
2025 · mirascope.com · its alternatives →
- 7
Read this article by Cloudflare this morning https://blog.cloudflare.com/code-mode/ the main argument being that LLMs are much better at writing typescript code than tool calls because they've seen typescript code many more times. HN Discussion: https://news.ycombinator.com/item?id=45399204 https://news.ycombinator.com/item?id=45386248 Deno provides a great sandbox environment for Typescript code execution because of its permissions system which made it easy to spin up code that only has access to fetch and network calls. Stick an MCP proxy…
2025 · github.com · its alternatives →
- 8
We built any-llm because we needed a lightweight router for LLM providers with minimal overhead. Switching between models is just a string change : update "openai/gpt-4" to "anthropic/claude-3" and you're done. It uses official provider SDKs when available, which helps since providers handle their own compatibility updates. No proxy or gateway service needed either, so getting started is pretty straightforward - just pip install and import. Currently supports 20+ providers including OpenAI, Anthropic, Google, Mistral, and AWS Bedrock. Would love to hear what you think!
2025 · github.com · its alternatives →
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HasMCPfree tier▲6No-code GUI MCP Server Framework with built-in Auth & Logs
Jan 2026 · hasmcp.com · its alternatives →
- 10
I'm relatively new to Go, but recently got interested in how MCP servers work. I started thinking about what the architecture of such a project might look like, and decided to build a minimalist version as an experiment. I based it on my past experience writing regular REST API servers and figured it might be useful or interesting to others as well.
2025 · github.com · its alternatives →
- 11
We’ve open-sourced the Robot MCP Server, a tool that lets large language models (LLMs) talk directly to robots running ROS1 or ROS2. What it does - Connects any LLM to existing ROS robots via the Model Context Protocol (MCP) - Natural language → ROS topics, services, and actions (And the ability to read any of them back) - Works without changing robot source code Why it matters - Makes robots accessible from natural language interfaces - Opens the door to rapid prototyping of AI-robot applications - We are trying to create a common interface for safe AI ↔ robot communication This is too big…
2025 · github.com · its alternatives →
- 12OS
Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…
2025 · its alternatives →
- 13
Hey HN! A few months ago we shared mcp-agent (https://github.com/lastmile-ai/mcp-agent) [1][2], a lightweight framework that implements every agent pattern from Anthropic’s Building Effective Agents blog [3] and handles MCP server/client management seamlessly. Our core bet is that connecting LLMs to tools, resources, and external systems will soon be MCP-native by default. Today we're launching a significant update: Agents as MCP servers. Currently "agentic" behavior exists only on the MCP client side – clients like Claude or Cursor use MCP servers to solve tasks.…
2025 · github.com · its alternatives →
- 14MG
Hey HN, Sagiv from liblab is here. We've been deep in the world of API tooling for years at liblab, primarily focusing on generating SDKs and documentation from OpenAPI specs. Recently, we kept running into a recurring frustration: connecting AI tools to existing APIs is way more complex than it should be. You start with a simple goal – let an LLM talk to your API – and suddenly you're neck-deep in spinning up infrastructure, wrestling with authentication, and writing a ton of custom glue code just to translate natural language into structured API calls. Then you have to maintain it all. To…
2025 · mcp.liblab.com · its alternatives →
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Admittedly I work on this, but I anthropic's decision to finally embrace http, auth (at least a little), and other RFCs that are coming out is just great. With OpenAI behind it too, this ecosystem will be built around projects like this. Not saying it's MCP or not, but it'll be one of them
2025 · twitter.com · its alternatives →
- 16
Hi HN, I wrote a book on the Model Context Protocol (MCP) – the open standard from Anthropic that lets AI agents connect to external tools and data sources. I'm an RPA/automation practitioner (CEO of Niuexa, LinkedIn Learning instructor) and I noticed there was no comprehensive resource covering MCP architecture, security patterns, and enterprise deployment strategy. So I wrote one. The book covers: - MCP architecture deep dive (servers, clients, hosts, transport layers) - 20-point security checklist for MCP deployments - EU AI Act compliance for agentic systems - Real-world breach…
Nov 2025 · blueprint-mcp.railsblueprint.com · its alternatives →
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Hello HN, I built this because I wanted to give Claude Desktop access to my Notion workspace without running a flaky local Python script via stdio. This is a Node.js/Express implementation of the Model Context Protocol (MCP) that uses SSE (Server-Sent Events) for transport. It’s designed to be stateless and deployable as a container (I'm hosting it on Apify, but it works anywhere with Node). The Stack: TypeScript + Express @modelcontextprotocol/sdk Zod for input validation Bearer Auth for security (since it exposes an HTTP endpoint) Capabilities: It allows the LLM to search pages,…
Dec 2025 · github.com · its alternatives →
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MCPAGENTSEEK▲14Global search engine for model context protocol tools
2025 · mcpagentseek.com · its alternatives →
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MCP Cloud▲52Deploy Model Context Protocol (MCP) servers with ease. Scale your AI models seamlessly with our cutting-edge platform.
2025 · mcp-cloud.ai · its alternatives →
- 20GS
Anthropic's Model Context Protocol (MCP) has made it easy to spin up servers that expose tools and data to LLMs. A lot of these MCP servers run locally because they need access to your files, shell, browser, etc. The problem: they typically run with the same privileges as your user. If a server is buggy, misconfigured, or prompt-injected, it can do anything you can do: read SSH keys, exfiltrate dotfiles, poke around in private repos, etc. Our research group is working on this by adding a security manifest (inspired by the Android app manifest) plus a local policy enforcement engine that…
Nov 2025 · guardiagent.com · its alternatives →
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SpecToMCP▲19Generate MCP servers from OpenAPI specification files
2025 · spectomcp.updab.com · its alternatives →
- 22
Problem: LLMs need context data to give accurate answers and thousands of great publicly available datasets remain vastly unexploited. Anthropic’s MCP servers are awesome, but we need many more servers and an easy way to discover them. What if it took only one command to connect any LLM to any open dataset? Open Data MCP, a 2-in-1 solution: 1. Access Open Data: - 10 seconds setup to query any integrated Open Data MCP server from Claude (and more to come) - Simple CLI tool 2. Access Open Data: - Create your own Open Data MCP server(s) - Get templates, guides, and community - Get instant…
2024 · github.com · its alternatives →
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Docs2mcp▲29Turn any API documentation into a simple hosted MCP server.
2025 · docs2mcp.com · its alternatives →
- 24
The latest CLI releases from google and anthropic are sweet, we wanted build one that can run any model. mcp-use-cli lets you `/model` hop between providers instantly. npm i -g @mcp-use/cli && you're done What's cool: - BYOK (your keys, encrypted locally) - Slash commands for everything - MCP protocol support for custom tools - Works with OpenAI, Anthropic, Google, Mistral, Groq, local Ollama... The whole thing's TypeScript and open source. Built this on top of our Python + TS mcp-use libs, so it speaks MCP out of the box. You can hook up filesystem tools, DB servers, whatever you…
2025 · github.com · its alternatives →
Also compare
- Code Mode alternatives
- mcp-use alternatives
- An MCP server that gives LLMs temporal awareness and time calculation alternatives
- Ollama – Run LLMs on your Mac alternatives
- FastMCP – A Pythonic way to build Model Context Protocol servers alternatives
- Simple to build MCP servers that easily connect with custom LLM calls alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →