# MCP Beast > MCP Beast is an MCP (Model Context Protocol) gateway that sits between your AI tools and every MCP server: connect each server once, keep credentials out of AI clients, and govern access — local-first on Mac, governed for organizations. MCP here means the Model Context Protocol for AI tool integration, not Minecraft or a military rank. MCP Beast is the single endpoint every AI client (Cursor, Claude, ChatGPT, Codex, VS Code) talks to. It centralizes MCP configuration, keeps API keys in a trusted layer instead of each client, cuts token usage with a compact tool dispatcher, and adds policy, identity, and audit for teams. ## Pages - [Home](https://mcp-beast.ai/): MCP Beast is the MCP gateway between your AI tools and every MCP server — connect once, keep credentials out of clients, and govern access. Free on Mac. - [Mac App](https://mcp-beast.ai/mac-app): Download MCP Beast from the Mac App Store and connect Cursor, Claude, Codex, ChatGPT, and future AI clients through one private, token-efficient Mac gateway. - [Enterprise](https://mcp-beast.ai/enterprise): MCP gateway enterprise control for agent teams: route every MCP server through one governed layer with policy, identity, approvals, and audit before agents reach production. - [MCP Gateway — Proxy, Govern & Audit MCP Servers](https://mcp-beast.ai/mcp-gateway): What an MCP gateway is and why agents need one: a single endpoint that isolates credentials, routes tools semantically, and audits every MCP call. - [MCP Proxy — Managed Alternative to DIY Proxies](https://mcp-beast.ai/mcp-proxy): How an MCP proxy works, when OSS options like mcpo or mcp-proxy fit, and when a managed proxy with Keychain credentials and built-in audit is the better call. - [MCP Registry — Find & Evaluate MCP Servers](https://mcp-beast.ai/mcp-registry): What an MCP registry is, how the official registry works, criteria for evaluating MCP servers, and how MCP Beast discovers tools across registries. - [MCP Security — Threats, Auth, Governance & Audit](https://mcp-beast.ai/mcp-security): The MCP threat model — prompt injection, tool poisoning, token passthrough, shadow MCP — and how authentication, governance, and audit receipts contain it. - [Integrations — Connect AI Clients & MCP Servers Once](https://mcp-beast.ai/integrations): Connect Cursor, Claude Code, ChatGPT, and Codex through one MCP Beast endpoint — and GitHub, Figma, and Supabase tokens once, stored in the macOS Keychain. - [MCP Beast vs MCP Manager — MCP Gateway Comparison](https://mcp-beast.ai/compare/mcp-manager): A criteria-led comparison of MCP Beast and MCP Manager: deployment model, credential handling, governance, audit, and pricing — so you can pick the right fit. - [Features](https://mcp-beast.ai/features): Governed MCP gateway, semantic routing, and audit receipts — built for platform and security teams. - [Blog](https://mcp-beast.ai/blog): Practical guides on the Model Context Protocol, AI agent security, and enterprise governance. - [About — MCP Beast](https://mcp-beast.ai/about): The people behind MCP Beast's writing on MCP, AI agent security, and governance. ## Blog: MCP Fundamentals - [LLM Tool Calling Explained: How It Works](https://mcp-beast.ai/blog/llm-tool-calling-explained): How LLM tool calling works end to end, why per-vendor function calling fragmented, and how MCP standardizes the integration layer for enterprises. - [What Are MCP Servers? Enterprise Guide](https://mcp-beast.ai/blog/what-are-mcp-servers): MCP servers expose tools, resources, and prompts to AI agents. How they work, local vs. remote, transports, and the risk of server sprawl at scale. - [MCP vs API: Differences and When You Need Both](https://mcp-beast.ai/blog/mcp-vs-api): MCP and APIs solve different problems. Learn when to use each, how MCP wraps existing APIs as tool servers, and what this means for enterprise security. - [What Is the Model Context Protocol?](https://mcp-beast.ai/blog/what-is-model-context-protocol): The Model Context Protocol is the open standard wiring AI agents to tools and data. Its architecture, primitives, and enterprise governance gaps. ## Blog: Security & Access Control - [MCP Credential Injection: What It Is and How to Stop It](https://mcp-beast.ai/blog/mcp-credential-injection): MCP credential injection happens when agent prompts, tool output, or server config push secrets into places agents and logs can expose. Learn the controls. - [MCP Best Practices: Production Checklist](https://mcp-beast.ai/blog/mcp-best-practices): A prioritized checklist of MCP best practices covering security, operations, and governance—with enterprise-scale guidance for each domain. - [AI Agent Access Control: RBAC, Scopes, Least Privilege](https://mcp-beast.ai/blog/ai-agent-access-control): AI agent access control: RBAC, attribute-based policy, tool scopes, and least privilege—plus the failure modes that derail each approach. - [Shadow AI: Governing Ungoverned Agents](https://mcp-beast.ai/blog/shadow-ai): Shadow AI agents act on your data autonomously — no audit trail, no DPA, no policy scope. Here's how to find them and govern them before an auditor does. - [Prompt Injection in MCP: Attacks and Defenses](https://mcp-beast.ai/blog/prompt-injection-mcp): How prompt injection exploits MCP agents, why indirect injection via tool output is the dominant enterprise risk, and the layered defenses that help. - [AI Agent Security: Threats AppSec Misses](https://mcp-beast.ai/blog/ai-agent-security): AI agent security: non-human identity sprawl, runaway blast radius, and indirect injection that traditional AppSec was never built to catch. - [MCP Authentication & OAuth 2.1 Explained](https://mcp-beast.ai/blog/mcp-authentication-oauth): MCP authentication explained: OAuth 2.1 with PKCE, token scoping, audience binding via RFC 8707, rotation, and the production pitfalls to avoid. - [MCP Security: Enterprise Guide to Locking Down Agents](https://mcp-beast.ai/blog/mcp-security-enterprise-guide): A practical MCP security threat model and prioritized controls checklist for enterprise teams securing Model Context Protocol deployments at scale. ## Blog: Operations & Gateways - [How to Cut MCP Token Usage: Why Your Context Window Fills Up](https://mcp-beast.ai/blog/how-to-cut-mcp-token-usage): Every connected MCP server injects its full tool list into the model's context before you type a word. Here is the mechanic, the mitigations, and an audit checklist. - [How to Proxy Multiple MCP Servers (Without Wiring It Yourself)](https://mcp-beast.ai/blog/how-to-proxy-multiple-mcp-servers): Step-by-step ways to put multiple MCP servers behind one endpoint: the open-source proxies (sparfenyuk/mcp-proxy, TBXark/mcp-proxy, mcpo) compared honestly, plus the managed alternative. - [How to Choose an MCP Gateway: A Buyer's Guide](https://mcp-beast.ai/blog/how-to-choose-an-mcp-gateway): Seven evaluation criteria for choosing an MCP gateway — credential isolation, policy, audit, deployment model, token efficiency, registry, and pricing — plus a printable checklist. - [MCP Gateway vs Proxy vs Router: What's the Difference?](https://mcp-beast.ai/blog/mcp-gateway-vs-proxy-vs-router): MCP proxies forward traffic, routers decide where it goes, and gateways add policy, identity, and audit on top. Here is how to tell them apart — and which one you actually need. - [AI Agent Audit Log: What to Capture](https://mcp-beast.ai/blog/ai-agent-audit-logs): What an AI agent audit log must capture—identity, inputs, policy decisions, and results—to satisfy compliance auditors and prove business value. - [MCP Monitoring & Observability Guide](https://mcp-beast.ai/blog/mcp-monitoring-observability): How to monitor MCP traffic and AI agents using metrics, traces, and logs — and why traditional APM falls short for agentic workloads. - [MCP Server Registry: Discovery, Versioning, Trust](https://mcp-beast.ai/blog/mcp-server-registry): What an MCP server registry does, where versioning and signing break down without one, and how to build a governed catalog enterprise agents can trust. - [MCP Server Management at Scale](https://mcp-beast.ai/blog/mcp-server-management): How enterprise teams onboard, configure, version, monitor, and deprecate MCP servers—and why ad-hoc management breaks down past a handful of servers. - [What Is an MCP Gateway?](https://mcp-beast.ai/blog/what-is-an-mcp-gateway): An MCP gateway is the centralized control layer that routes, authenticates, and governs every agent-to-tool connection in your enterprise AI stack. ## Blog: Governance & ROI - [AI Agent ROI: Prove Value, Not Vibes](https://mcp-beast.ai/blog/ai-agent-roi): Quantify AI agent ROI with time saved, deflection, revenue, and risk avoided—and why audit-grade receipts beat spreadsheet estimates. - [AI Governance in 2026: Standards, Tools & Compliance](https://mcp-beast.ai/blog/ai-governance-2026): AI governance in 2026: NIST AI RMF, EU AI Act enforcement shifts, ISO/IEC 42001, and the tooling closing the policy-to-enforcement gap. - [AI Agent Governance for Regulated Industries](https://mcp-beast.ai/blog/ai-agent-governance-framework): A practical ai agent governance framework for finance and healthcare — mapped to NIST AI RMF functions and EU AI Act Articles 9, 14, and 17. - [Enterprise AI Governance Framework](https://mcp-beast.ai/blog/enterprise-ai-governance): A practical enterprise AI governance framework—policy, controls, audit, and ownership—for moving from principles to enforcement across AI agents.