An agent is only as useful as what it can reach, and only as safe as how it reaches it. An MCP tool layer sits between the two: each tool declared explicitly, each call carrying a scoped token rather than an application credential, each invocation recorded. We built dynamic tool discovery across more than a hundred tools on Solarpunk roughly six months before the pattern was standardized.
01 / MCP
For agents that need to reach your systems. Scoped tokens, per-tool permissions and an audit record on every call, through a layer you control.
Usually shipped with
Not a bundle to buy. Whichever you start from, the engagement covers what the build actually needs.
02 / Scope
03 / Outcomes
04 / Deliverables
05 / Stack
06 / Why us
On Solarpunk, an agent reaches more than a hundred tools by discovering the right one at call time rather than holding all of them in context. That shipped roughly six months before the major labs published the same pattern.
The agent acts as a principal with its own short-lived token. A leaked credential from a run expires with the run and cannot reach past its scope.
Built once, it serves every agent you build afterwards. Teams that wire tools per agent rebuild the integration each time.
Week 1
Systems, operations and the permission each genuinely requires. Most tool layers over-grant because nobody did this step.
Week 1-2
Each operation as a named tool with a typed contract, rather than a general-purpose escape hatch that becomes one.
Week 2-3
Short-lived tokens per run, so a compromised run cannot outlive itself or reach past its job.
Week 3-4
Every invocation, allowed or refused, with arguments, in a form that survives the audit.
Executive operationsIn production
A 24/7 AI chief-of-staff for founders and leadership teams. An agent that plans, acts, and self-corrects across email, calendar, docs, CRM, and ERP through a secure tool layer, runs recurring workflows end to end, and never exposes a credential.
Cloud infrastructureIn production
A DevOps agent that turns plain-English infrastructure requests into validated cloud templates and safely applies them to live AWS accounts, planning against real limits and quotas, validating in a loop, and tagging every resource it creates.
The server advertises a catalogue of tools, resources and schemas, and each caller is scoped to a subset of it. A token exchange swaps the agent's own identity for a downstream credential scoped to that one call, so the agent never holds anything it could reuse or leak. Every invocation is validated against its schema for shape and size, checked against the caller's scope, and recorded. A call outside scope is refused and logged, and nothing runs.
Production-proven
Built by engineers who've already shipped this in production.
Because the tool layer becomes reusable and inspectable. Direct calls scatter integration and permission logic through every agent you build.
No, and that is the design. It gets a short-lived scoped token per run; the credentials stay on your side of the tool layer.
Often, through the same layer, with browser automation or a database adapter behind the tool contract. The agent does not need to know the difference.
Past roughly thirty, holding them all in context degrades tool choice. That is when discovery at call time matters, which is what we built on Solarpunk.
Multi-step agents for workflows where a wrong action is expensive to undo.
View serviceMulti-agent systems, for work that outgrew a single agent.
View servicePolicy checks around model output and agent actions, for systems where a bad action is expensive.
View serviceTell us where you are and what you're trying to ship. We'll come back with a concrete plan, the right engineers, and a path to production, not a generic pitch.