Gram Functions
Hi HN, Georges from the Gram team here. We're really excited to share a major update to Gram, our platform for curating tools for agents, in the form of Gram Functions. Gram initially started out by letting users upload OpenAPI documents and turning them into tools that can be curated into small MCP servers that power your agentic use cases. We've known for quite some time that many existing REST APIs are simply not suitable as LLM tools and we wanted to solve this problem by letting users simply write code and we would take care of deploying that code for them and hosting MCP servers. We…
Gram Functions launched on November 18, 2025 with 119 votes, #271 of 9,796 launches that month and more than 95% of that year's launches.
What it does
Gram Functions is a simple TypeScript framework that lets you define AI agent tools in code and deploy them as MCP servers to the Gram platform. No protocol knowledge or infrastructure management required. npm create @gram-ai/function
Write TypeScript code to create MCP-compatible agent tools that can be deployed to Gram: orchestrate APIs, query databases, and solve real business problems.
Gram is the MCP cloud platform that makes building production-ready MCP servers fast and easy. Today, we're making it even more powerful with Gram Functions , a TypeScript framework that lets you define agent tools in code without worrying about MCP protocol internals or managing infrastructure. Write your tool logic, deploy to Gram's managed platform, and get production-grade MCP servers with enterprise performance, observability, and security built-in. In the 45 days since Gram launched, we've seen teams like Polar use Gram-hosted MCP servers to build amazing AI experiences . But we always knew that API-based MCP was only the beginning of the story. Sometimes a company's APIs are the…from speakeasy.com
In the maker’s words, at launch
Hi HN, Georges from the Gram team here. We're really excited to share a major update to Gram, our platform for curating tools for agents, in the form of Gram Functions. Gram initially started out by letting users upload OpenAPI documents and turning them into tools that can be curated into small MCP servers that…
Does a similar job
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Gram by Speakeasy2025 · app.getgram.ai · ▲227Instantly create MCP servers and SDKs that LLMs understand

mcp-use2025 · manufact.com · ▲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:…
Why write code if the LLM can just do the thing? (web app experiment)Nov 2025 · github.com · ▲436I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI…
Agents.json – OpenAPI Specification for LLMs2025 · github.com · ▲212Hey HN, we’re building an open specification that lets agents discover and invoke APIs with natural language, built on the OpenAPI standard. agents.json clearly defines the contract between LLMs and API as a standard that's open, observable, and replicable. Here’s a walkthrough of how it works: https://youtu.be/kby2Wdt2Dtk?si=59xGCDy48Zzwr7ND. There’s 2 parts to this: 1. An agents.json file describes how to link API calls together into outcome-based tools for LLMs. This file sits alongside an OpenAPI file. 2. The agents.json SDK loads agents.json files as tools for an LLM that…
Code ModeNov 2025 · github.com · ▲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…
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