#What is the MCP Protocol? 🤖🌐

MCP (Model Context Protocol) is 2 parts:

#MCP Servers 🧠

• Like a restaurant menu—showing available options to AI.
• ⚠️ Beware: Not all "restaurants" are good, and some may be expensive!
• HuBrowser MCP Server lets AI control the browser just like a human, on desktop or mobile. Currently, this is available for enterprise customers only.

#MCP Host & Client 💬

• The host is like a smart assistant who understands your requests ("I'm vegan" or "My favorite chicken dish, please!") and orders the right items from the menu for you.
• HuBrowser MCP Host interprets your natural language and gets things done by communicating with different services.

#For engineers 🤓

MCP in one sentence: a JSON-RPC based protocol with JSON Schemas for tool discovery and invocation, over local or remote transports. In practice, it’s a consistent contract for: listing tools, describing inputs/outputs, calling them, and streaming results.

#When MCP is a good fit ✅

• You want tools to work across multiple AI apps without bespoke integrations
• You need a discoverable, typed interface for tools and resources
• You care about observability and control over tool calls
• You plan to mix local and remote capabilities

#When it might not be worth it ⚖️

• A single app calling a single API with minimal orchestration
• Extremely stateless, ephemeral tasks better served by plain REST
• You don’t need tool discovery, just a couple of hard‑wired calls

#Deep dive 🔍

Model Context Protocol helps AI go beyond Q&A to actions—sending emails, deploying code, publishing articles. Because it’s an open standard, any host can support it and any server can be reused across hosts. That’s more scalable than one‑off “function calling” per model vendor.

#Current challenges ⚠️

#Complexity 🌀

If an API already exists, wrapping it in an MCP server can feel redundant versus direct REST/OpenAPI use. Extra layers also introduce security and permission surfaces.

#Security 🔒

Risks span the lifecycle:

• Creation: look‑alike names trick users into installing malicious servers
• Code injection: tampered source or configs
• Runtime conflicts: similarly named tools collide, causing wrong actions or leaks
• Permission drift: outdated grants remain after updates

#Permissions 🔑

Enterprises want self‑hosting and separation of data/control planes. Even with remote server support (e.g., OAuth‑style auth, streaming transports, batching), fine‑grained, per‑tool, per‑resource permissions are still evolving. As tool counts grow, managing access gets hard.

#Stateful connections 🔄

MCP favors stateful, long‑lived connections. That’s at odds with purely stateless patterns (e.g., Lambda/Workers) and raises isolation concerns when using subprocesses.

#Context overload 💭

Dumping every tool into model context wastes tokens and destabilizes behavior. With 60+ tools and needing 5, selection quality drops. Hierarchical routing and selective exposure help.

#Opportunities 💡

MCP keeps the model front‑and‑center as the user’s primary interface. Users complete workflows via APIs instead of clicking through many SaaS UIs—great for long, multi‑step tasks.

#Server gateway 🚪

Add a gateway between hosts and servers for:

• Access control and auth
• Smart request routing
• Load balancing
• Response caching

Crucial in multi‑tenant setups where agents/users have different entitlements.

#Server discovery 🔎

Today, setup is manual. Opportunities:

• Installer tooling (e.g., mcp‑get) to add servers across hosts
• Directories/registries to browse trusted servers

#Server hosting ☁️

Remote hosting is accelerating. Expect building blocks like:

• Remote transport handlers
• Adapters so local hosts can call remote servers
• Web consoles to connect and test servers

#Security across the lifecycle 🛡️

Cover all phases:

• Creation: signed releases, integrity checks, verified publishers
• Runtime: sandboxing, isolation, safe I/O boundaries
• Updates: versioning, permission migrations, deprecations

#Tool invocation management 🛠️

Hosts need a “middleware” layer for:

• Tool discovery, ranking, and selection (not just dump‑and‑pray)
• Consistent UX patterns (slash commands vs. natural language)
• Workflow orchestration: multi‑step calls, retries, resume‑from‑failure

#HuBrowser + MCP today 🚀

• HuBrowser MCP Server: AI‑driven browsing on desktop and mobile (enterprise‑only)
• HuBrowser MCP Host: orchestrates tasks from natural language across services
• Built for compliance‑minded teams: supports self‑hosting and separation of concerns

If you’re exploring MCP for enterprise automation, we can help evaluate security, permissioning, and deployment models tailored to your environment.