Palma

Palma

The enterprise layer that unlocks MCP at scale

0upvotes
Launched April 28, 2026

About Palma

Palma is a robust governance and control platform designed for enterprises deploying AI agents through MCP (Multi-Cloud Platform). It provides comprehensive management of tool access, policy enforcement, cost tracking, and auditing of every agent tool call, ensuring enterprises can scale their AI initiatives securely and efficiently. With support for over 19,000 MCP servers, Palma is tailored for large organizations seeking centralized oversight of AI operations. Its integration with enterprise systems and focus on compliance make it a critical component for managing complex AI ecosystems. As a founding member of the Agentic AI Foundation, Palma demonstrates a commitment to advancing responsible AI use at scale. This platform is ideal for organizations that need granular control, visibility, and security over AI agent activity across diverse environments, ensuring they can harness the power of AI without sacrificing governance or compliance.

Screenshots

Palma screenshot 1

Pros

  • Supports over 19,000 MCP servers, offering extensive scalability
  • Provides detailed policy enforcement and access control
  • Tracks costs and audits every agent tool call for full transparency
  • Enhances security and compliance in AI deployments
  • Integrates seamlessly with enterprise systems

Cons

  • Potentially complex setup for smaller teams or organizations
  • Pricing details are not publicly specified, which may affect budget planning
  • Focuses primarily on large-scale enterprise use, less suitable for small businesses

Use Cases

1Managing and governing AI agents across large enterprise ecosystems
2Enforcing security policies and access controls for AI tools
3Auditing and tracking AI interactions for compliance purposes
4Cost management and optimization of AI agent operations
5Scaling AI deployments securely across multiple cloud environments
6Supporting responsible AI practices through governance and oversight

Pricing

Details are not publicly available, but likely follows a custom enterprise pricing model, potentially based on the number of MCP servers, users, or features required. It may offer tiered plans or custom quotes for large organizations.

Quick Info

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Launched4/28/2026

Topics

Pitch London

Alternatives

OpenAI's enterprise management tools
Microsoft Azure AI governance solutions
Google Cloud AI Platform governance features
DataRobot Governance & Control
Cortex Enterprise AI Management

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