Credal

Credal is an enterprise platform where teams build and govern MCP servers, with curated context, tools, and cost-to-accuracy evals per workflow. It supports connecting data sources and turning domain expertise into governable servers that can be queried across surfaces such as Claude, ChatGPT, Cursor, or custom apps. The product emphasizes governance, permissions, and auditability for enterprise-scale AI agents.

Credal provides a centralized layer that makes business context available to agents across environments. It allows domain experts to package the right tools and data into reusable MCP servers and publish them to the surfaces teams use. The platform tracks usage and costs, supporting visibility into how AI spend translates to outcomes.

Credal enables multi-surface deployments where teams switch between models and interfaces while preserving context and guardrails. It offers a common gateway for different tools, including 1,000+ connectors, with scoped context to reduce token waste and maintain accuracy.

Credal’s platform covers security, compliance, and deployment options. It supports cloud or on-prem deployments, SSO/SCIM integration, and human-in-the-loop approvals, aiming to align AI adoption with enterprise controls and governance.

Use cases

• Enterprise teams publish governed servers for different departments to query across Claude, ChatGPT, Cursor, Slack, or APIs.
• Cost visibility and optimization guidance for AI spend across teams.