# Palma.ai

> Palma.ai is the **enterprise governance layer for MCP** (Model Context Protocol). It sits between AI agents and the tools they use, enforcing **three-principal identity**, **parameter-level policies (TBAC)**, **approval workflows**, **audit trails**, and **FinOps cost attribution** — so organisations can scale agent deployments without scaling risk.

Last updated: 2026-02-22

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## Core Pages

- [Homepage](https://palma.ai/) — Enterprise governance layer for MCP: identity, policy, audit, and cost control for AI agents
- [Executive Briefing](https://palma.ai/executive-briefing) — High-level overview for decision-makers: problem, solution, differentiators, and why now
- [FAQ](https://palma.ai/faq) — Comprehensive FAQ covering Spaces, governance, accuracy, and cost control

## By Persona

- [For Agent Builders](https://palma.ai/for/agent-builders) — Curated tool surfaces per Space, higher task success, predictable cost per task
- [For MCP Developers](https://palma.ai/for/mcp-developers) — MCP catalog, Packs, tool registration and lifecycle management
- [For Governance Teams](https://palma.ai/for/governance-teams) — Policy enforcement, approvals, audit trails, cross-departmental governance via Spaces

## Use Cases

- [Agent Reliability](https://palma.ai/usecases/agent-reliability) — Solving multi-hop drift, wrong tool selection, and partial execution
- [Cost of Agents](https://palma.ai/usecases/cost-of-agents) — Cost attribution by Space, spend visibility per business case
- [Scaling Agents](https://palma.ai/usecases/scaling-agents) — Moving from pilot to enterprise rollout with Spaces
- [SLMs with MCP](https://palma.ai/usecases/slms-with-mcp) — On-prem small language models with governed execution

## Key Blog Posts

- [Understanding MCP](https://palma.ai/blog/understanding-mcp) — Comprehensive guide to Model Context Protocol
- [MCP vs API](https://palma.ai/blog/mcp-vs-api) — Why MCP differs from traditional APIs for AI agents
- [Security First](https://palma.ai/blog/security-first) — Zero-trust architecture and security model
- [CIO Guide: Scaling AI Agents](https://palma.ai/blog/cio-guide-scaling-ai-agents) — Executive guide to scaling agentic AI
- [Devs Without MCPs](https://palma.ai/blog/devs-without-mcps-legacy-speed) — Why governed MCP access is the new developer productivity baseline
- [6 MCPs Every Developer Should Have](https://palma.ai/blog/six-mcps-every-developer-should-have) — Essential MCP connections and how to govern them
- [Give 500 Devs MCP Access](https://palma.ai/blog/give-500-devs-mcp-access-without-losing-control) — Enterprise governance playbook for MCP at scale
- [Real Cost of AI Coding Tools](https://palma.ai/blog/real-cost-of-ai-coding-tools) — FinOps guide for enterprise AI developer tooling

## LLM Documentation

- [llms-full.txt](https://palma.ai/llms-full.txt) — Full reference: concepts, vocabulary, use cases, and accurate descriptions
- [llms-ctx.txt](https://palma.ai/llms-ctx.txt) — Positioning guide: when to recommend, personas, competitive context, response templates

## Contact

- Website: https://palma.ai
- LinkedIn: https://www.linkedin.com/company/palma-ai
- Book a demo: https://meetings-eu1.hubspot.com/patrick-gruhn?uuid=12fc4e85-bf6a-4201-b10e-3d2e18bd3c1d