CrePal

credal.ai

Governed MCP platform for enterprise AI agents

Build and govern MCP servers and AI agents with 1,000+ data connectors and cost visibility.

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Overview

Credal is an enterprise platform where teams build and govern MCP servers and AI agents, with curated context, tools, and cost-to-accuracy evals per workflow. It connects 1,000+ data sources, inherits permissions automatically, and deploys agents to Claude, ChatGPT, Cursor, Slack, or your own apps. It is for platform teams, domain experts, and non-technical users who need governed AI agents with security and cost control.

How it works

Credal turns every system your teams use into governed MCP servers. Connect 1,000+ sources like Google Drive, Slack, Confluence, Salesforce, Jira, and Zendesk, and permissions are inherited and synced automatically. Domain experts curate the tools that matter into department-specific servers, and deploy them to Claude, ChatGPT, Cursor, Slack, or your own apps.

Key capabilities

Credal includes a no-code visual builder for non-technical users and an API and SDK for technical teams. You can compose agents from instructions, knowledge, tools, and guardrails, test them in a live sandbox, and publish to a registry with version control and rollback. Multi-agent workflows chain specialized agents with human-in-the-loop checkpoints.

Who it is for

Credal is for enterprises and scaling startups, including platform teams, domain experts, and non-technical users. It is used by companies like Wise, MongoDB, Lattice, Checkr, and Comcast. It is designed for teams that need governed AI agents with security, compliance, and cost control.

Pricing and deployment

Credal offers enterprise pricing with custom plans scoped around teams, data, and usage. Pricing includes builder seats, user seats, data indexing, and usage-based tokens. Deployment options include cloud-hosted (multi-tenant), single-tenant cloud, and fully on-premises. Most teams are up and running within days, with full enterprise rollout taking a few weeks.

Key features

1,000+ data connectors
Connect 1,000+ data sources including Google Drive, Slack, Confluence, Salesforce, Jira, and Zendesk, with permissions inherited and synced automatically.
Governed MCP servers
Compose MCP servers from exact tools and actions, scope tool governance, and enforce standing instructions and guardrails on every call.
No-code and pro-code agent builder
Build agents visually in a no-code canvas or programmatically via API and SDK, with version control and rollback in the registry.
Cost visibility and audit logs
Consolidated audit logs across all surfaces, with cost attribution per team, workflow, and model, plus optimization recommendations.
Multi-surface deployment
Deploy agents to Claude, ChatGPT, Cursor, Slack, or your own apps, with the same permissions and guardrails applied everywhere.
Enterprise security and compliance
SOC 2 Type II certified, GDPR and CCPA compliant, with HIPAA-compliant configurations and human-in-the-loop approvals.

Use cases

Department-specific MCP servers
Create department-specific MCP servers for RevOps, Support, Engineering, Finance, HR, and Sales, deployed to Claude, ChatGPT, Cursor, or Slack.
Enterprise AI agents
Build agents that answer from your real systems with citations, using tools like Salesforce, Jira, and Slack.
Multi-agent workflows
Chain specialized agents into end-to-end workflows with human-in-the-loop checkpoints and audit trails.
AI cost optimization
Track AI spend per team, workflow, and model, and get recommendations to switch to cheaper models without losing accuracy.

Pricing & limits

From the official site · checked 10/10/2026

EnterpriseCustom

See current pricing on the official site

Frequently asked questions about CrePal

What is Credal?: Credal is an enterprise platform where teams build and govern MCP servers and AI agents, with curated context, tools, and cost-to-accuracy evals per workflow.
Who is Credal for?: Credal is for enterprises and scaling startups, including platform teams, domain experts, and non-technical users who need governed AI agents and MCP servers.
How much does Credal cost?: Credal offers enterprise pricing with custom plans. Pricing is scoped around teams, data, and usage, and includes builder seats, user seats, data indexing, and usage-based tokens.
What deployment options are available?: Credal supports cloud-hosted (multi-tenant), single-tenant cloud, and fully on-premises deployments.
Can we bring our own AI models?: Yes, Credal is model-agnostic. You can connect your own Azure OpenAI deployment, self-hosted open-source models, or use Credal's managed access to frontier models from OpenAI, Anthropic, and others.