Credal is the enterprise platform where teams build and govern MCP servers, with curated context, tools, and cost-to-accuracy evals per workflow.
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Your best workflows and know-how are trapped in individual tools and teams. Credal captures them as governed MCP servers and shares them across your organization. Each agent gets exactly the context it needs, at a cost you can see.
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SharePointSyncedBring the tools and data your teams already use into Credal, and turn each one into a governed MCP server curated by the domain experts who know it best. Query them from Claude, ChatGPT, Cursor, or your own apps.
Over-provisioned agents are expensive and inaccurate for the same reason: too much context. Credal lets domain experts bundle just the right tools, data, and instructions into a governed MCP server for each team.
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RevOpsClaudeEvery agent and MCP server in the registry feeds one consolidated audit log. That same log attributes every dollar to the team, workflow, and model that spent it, and recommends how to bring it down without losing accuracy.
Teams switch between Claude, ChatGPT, and Cursor constantly. When they do, your business context should travel with them. Credal sits beneath every tool call as the common layer, so the permissions, guardrails, and standing instructions you define apply regardless of which model or interface is in use.
No model lock-in. Switch between Claude, ChatGPT, Gemini, or any model without reconfiguring a single permission or prompt.
Build once, deploy anywhere. Connectors, permission rules, and skills work across Claude Desktop, Cursor, Slack, and your own apps without any extra setup.
No wasted tokens. Scoped context means agents only see what they need, trimming context per query to cut token spend without sacrificing accuracy.
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ChatGPTCursorSlackA skill that works on one person's laptop shouldn't have to be rebuilt by hand for the next team. Credal captures it once and publishes it to a governed registry that everyone can use.
Connect 1,000+ sources. Permissions are inherited and synced automatically, no redefinition.
Chain specialized agents, set who can call which actions, and version every change in the registry.
One shared skill instead of five teams rebuilding the same prompt. Scoped context shrinks token counts for every team using it.
Version-control every agent and MCP server, and govern every step. The registry gives platform teams a single source of truth for what's deployed, where, and who can use it.
AI adoption always outpaces trust. Credal sits as a gateway between your agents and your systems, so permissioning, auditing, and legal review happen once and apply to every team, instead of being rebuilt slightly differently by each one.
Every tool call respects the user's existing access. Nothing is over-shared, ever.
Scope exactly which tools and MCP servers each team or role can reach. No agent runs an action it wasn't explicitly granted.
Sensitive actions can require sign-off before they run, with a full audit trail of who approved what.
The gateway decides what data each agent is exposed to. Sensitive records from one team can't bleed into another session. Every access is logged, cross-context violations are blocked.
People don't want to learn a new tool, they want AI in the tools they already use. Credal enforces the same identity, permissions, and approvals no matter where an agent shows up.
Publish into Claude, ChatGPT, Cursor, Slack, or embed in your own app.
Run in our secure cloud or inside your own VPC, so your data never has to leave your environment.
Wire governed MCPs into larger automation chains with a typed API.
See how Credal turns every tool, data source, and workflow into a governed MCP server with the scoped context, enforced rules, and cost visibility your team actually needs.
