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Gram Functions

Serverless platform for turning code into LLM tools

Details

External ID
45979944
Source
HN
Company
—
Product
Gram Functions
Website domain
speakeasy.com
Launched
Nov. 19, 2025
Cohort
—
Upvotes
23
Upvotes percentile
0.7216157205240175
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

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 call this Gram Functions and you can get started with it today by running `pnpm create @gram-ai/function` (or `bun create ...`, `npm create ...`).Under the hood, when you send us code, we provision fly.io machines that run this code behind a Go server listening for tool calls. Once you've deployed, you'll be able to use the Gram dashboard to create a number of MCP servers that have tools generated from this code and any OpenAPI documents you may want to upload. The key thing is you create small MCP servers for your different agents by cherry picking from these sources. This approach to curation helps manage context bloat that massive MCP servers tend to introduce.Hope you give it a try! The team will be around to respond to questions and feedback.PS: If you'd like to poke at some code, Gram's code is up here: https://github.com/speakeasy-api/gram

Enrichment

Theme
AI agent frameworks and developer tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
serverless platform for turning code into llm tools
Manually corrected
False

Could you build this?

Yes Parsing OpenAPI specs and generating MCP/LLM tool wrappers deployed onto standard serverless functions is a straightforward API and code-generation task.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 122 launches clear the similarity bar, closest 8 shown.

Attention rank: #40 of 123 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 18 days after the earliest competitor.

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