Control AI Agents Through MCP
ProofMap helps developers connect tools, data, and runtime decisions through fast MCP workflows with evidence-backed control.
Get StartedWhy Choose ProofMap
Connect approved systems
Expose the internal tools an agent needs without custom integration work for every workflow.
Keep behavior testable
Evaluate prompts and runtime mappings against the same tool access the agent will use in production.
Give developers control
Let teams inspect failures, adjust mappings, and promote only qualified agent behavior.
Comparison
| Need | Ad hoc workflow | ProofMap |
|---|---|---|
| Connect tools and context | Developers wire custom integrations and debug behavior from raw logs. | Use MCP for standardized access and ProofMap to qualify tool behavior against objective tests. |
| Control production behavior | Prompt, model, and tool changes move through manual review or informal judgment. | Promote only prompt packages and runtime mappings that pass evaluation gates. |
| Save time and cost | Teams repeat setup, review, and model comparison work for every agent change. | Reuse tool connections, rerun objective suites, and compare cost, latency, and quality together. |
| Handle timing events | Launches, incidents, renewals, schema changes, and traffic spikes trigger rushed decisions. | Keep evidence-backed evaluations and fallback mappings ready before the timing pressure arrives. |
Frequently Asked Questions
Why use MCP with ProofMap?
MCP gives agents a standard path to tools and context while ProofMap qualifies whether the agent uses that access correctly.
Does this help developers move faster?
Yes. Teams spend less time building one-off glue code and more time improving agent behavior with evidence.
How does this save developer time?
ProofMap reduces repeated manual review, model comparison, prompt regression checks, and tool-use debugging by making them repeatable evaluation workflows.
What does ProofMap produce?
It produces objective-bound evaluations, failure evidence, recommendations, and approved prompt or runtime mappings that developers can use in production.
Build controllable agents
Connect your systems through MCP and qualify the behavior before release.
Start qualifying prompts