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

user:	pmmathias
created:	March 31, 2026
karma:	1
about:	Software engineer & dad. Building interactive web experiences with AI. Blog: https://ki-mathias.de

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