Credal
Enterprise platform to build and govern MCP servers with curated context and cost-to-accuracy evals.
About Credal
Credal is an enterprise platform where teams build and govern MCP servers, bundling curated context, scoped tools, and enforced instructions into department-specific servers that inherit permissions from connected data sources. It lets domain experts scope agents to exactly the context they need, attribute AI spend by team, workflow, and model, and route workflows to the best-value model, all queryable from Claude, ChatGPT, Cursor, or custom apps. It also provides access-controlled RAG, sensitive-data redaction, and audit logging so agents only use authorized information.
Screenshots
Common Use Cases
- Secure enterprise knowledge search and research
- Automating HR and people support inquiries
- Expediting customer support with secure AI agents
- Accelerating sales and go-to-market research
- Automating compliance and security questionnaire responses
Details
- Pricing Model
- Contact Sales
- Team Size
- Startups, Enterprise
- Category
- No-Code / Low-Code
Key Features
- Governed MCP serversBuild and govern MCP servers that bundle curated context, tools, and instructions for each team.
- Enterprise data connectorsConnect 1,000+ sources such as Google Drive, Slack, Confluence, Salesforce, Jira, and Zendesk and turn each into a governed MCP server.
- Scoped toolsBundle only the tools, data, and instructions an agent actually needs so everything else stays out of context.
- Enforced parametersDeterministically limit what data an agent can read and what actions it can take via enforced tool parameters.
- Enforced instructionsApply domain-specific standing instructions and guardrails to every agent.
- Permission inheritance and syncPermissions are automatically inherited and kept in sync from every connected source system.
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