A CLI that writes its own integration code
We run superglue, an OSS agentic integration platform. Last week I talked to a founder of another YC startup. She found a use case for our CLI that we hadn't officially launched yet. Her problem: customers wanted to create Opps in Salesforce from inside the chat in her app. We kept seeing this pattern: teams build agents and their users can perfectly describe what they want: "pull these three objects from Salesforce and push to nCino when X condition is true", but translating that into a generalized hard-coded tool the agent can call is a lot of work and does not scale since the logic is…
In plain words
Superglue is an open-source CLI tool that enables AI agents to dynamically generate integration code at runtime. Instead of requiring developers to manually build and maintain integration tools, users describe what they need—such as pulling objects from Salesforce and pushing to nCino based on conditions—and the agent reads API specifications, plans calls, and executes them automatically. It's designed for teams building agentic applications who need scalable, customizable integrations without hard-coding tools for each use case.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
We run superglue, an OSS agentic integration platform. Last week I talked to a founder of another YC startup. She found a use case for our CLI that we hadn't officially launched yet. Her problem: customers wanted to create Opps in Salesforce from inside the chat in her app. We kept seeing this pattern: teams build agents and their users can perfectly describe what they want: "pull these three objects from Salesforce and push to nCino when X condition is true", but translating that into a generalized hard-coded tool the agent can call is a lot of work and does not scale since the logic is different for every user. What superglue CLI does: you point it at any API, and your agent gets the ability to reason over that API at runtime. No pre-built tools. The agent reads the spec, plans the calls, executes them. The founder using this in production described it like this: she gave the CLI to her agent with an instruction set and told it not to build tools, just run against the API. It handled multi-step Salesforce object creation correctly, including per-user field logic and record type templates. Concretely: instead of writing a createSalesforceOpp tool that handles contact -> account -> Opp creation with all the conditional logic, you write a skill doc and let the agent figure out which endpoints to hit and in what order. The tradeoff is: you're giving the agent more autonomy over what API calls it makes. That requires good instructions and some guardrails. But for long-tail, user-specific connectors, it's a lot more practical than building a tool for every case. Happy to discuss. Curious if others have run into the "pre-defined tool" ceiling with MCP-based connectors and how you've worked around it. Docs: https://docs.superglue.cloud/getting-started/cli-skills Repo: https://github.com/superglue-ai/superglue
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