linkgo

Smithery vs Toolport: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Smithery and Toolport — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Smithery logo

Smithery

Smithery

Free

A registry and hosting platform (app store) for discovering, publishing, and running Model Context Protocol (MCP) servers for AI agents.

Key features

  • Centralized Registry: A searchable registry (app-store) of MCP servers where developers can discover published servers, read metadata, and inspect available tools and endpoints for agent integration.
  • Standardized MCP Interfaces: Enforces and exposes standardized Model Context Protocol interfaces and configuration schemas so agents can integrate tools consistently across different servers and clients.
  • Hosting and Gateway: Provides hosting and a unified gateway so agents can access external MCP services without complex per-client setup, improving availability and cross-client compatibility.
  • CLI Installer and Management: A command-line tool to search, install, run, inspect, develop, build, and run MCP servers locally or in dev mode (commands include search, inspect, run, dev, build, playground, install), simplifying lifecycle management.
  • SDK and Scaffolding: Developer SDK and server templates (FastMCP servers and scaffolds) to bootstrap new MCP servers with session configuration support and recommended patterns for production deployment.
  • Toolbox Dynamic Routing: A toolbox-style MCP that dynamically routes requests to registry MCPs and prompts users to configure tools when needed, enabling flexible runtime tool selection for agents.
  • One-line Client Installers: Provides one-line installers and client integration helpers that reduce manual conversion and configuration across multiple agent clients, easing adoption in projects like chat clients.
  • Playground and Local Dev Workflow: Local playground and hot-reload dev server workflows for iterating on MCP servers and testing interactions before publishing or deploying.
  • Centralized registry for discovering and publishing MCP servers
  • Command-line interface (smithery CLI) for search, inspect, install, run, dev, build, playground, and login
  • TypeScript and Python SDKs and server scaffolds for building MCP-compatible servers
  • Reference servers demonstrating MCP features and example deployments (including database templates)
  • Hosting/service gateway to expose MCP servers to agents
  • One-line install commands for multiple clients and verbose/debug install options
  • Development conveniences: hot-reload dev server, build options with transport selection (e.g., stdio), configurable output paths
  • Session configuration support and standardized tool integration/config interfaces
  • Playground for opening and testing servers in a browser

Best for

  • Extending an agent with external functionality by discovering and installing MCP servers (e.g., search, calculators, knowledge tools) from the Smithery registry and enabling them via one-line installs.
  • Developing and publishing MCP servers using the SDK and scaffolds to provide reusable tools for the agent ecosystem, then hosting them through Smithery for broad accessibility.
  • Integrating MCP servers into chat clients (like LibreChat or other agent-enabled apps) with standardized installers to avoid manual config conversions and speed client support.
  • Prototyping agent toolchains locally using the CLI dev server, playground, and hot-reload to iterate on server behavior and configuration before public release.
  • Running a unified gateway that routes agent requests to hosted MCP servers, simplifying authentication, session configuration, and cross-client compatibility.
  • Creating curated market offerings of agent extensions (a marketplace) where teams can publish paid or open server offerings and allow other developers to install and run them quickly.
  • Discover and install MCP servers to extend LLM agents with external tools and services
  • Develop and test MCP servers locally using scaffolds, SDKs, and hot-reload dev workflow
  • Publish and host MCP servers so agent platforms can access tools via a unified gateway
  • Integrate Smithery-installed MCP servers with chat clients or agent frameworks (e.g., LibreChat) to avoid format conversion
  • Run reference/example servers (TypeScript/Python) as templates for production deployments
View Smithery details
T

Toolport

Toolport

Free

Free open-source local MCP gateway. Set up each server once and share it across Claude, Cursor, VS Code, Codex, Windsurf.

Key features

  • Universal MCP gateway: Set up any MCP server once and every agent (Claude, Cursor, VS Code, Windsurf, Codex, Antigravity) shares it with hot toggles and no restarts.
  • Lazy tool discovery: Exposes a handful of meta-tools instead of dumping hundreds of tool definitions, cutting tool-definition tokens 74–91% at the same task success on a frontier model.
  • Tool integrity checks: Fingerprints every tool and flags rug-pulls (a definition changing after approval) and tool poisoning (hidden instructions in descriptions), on by default and entirely local.
  • Keychain secrets: API keys live in your OS keychain and are injected at runtime — never in a config file, never in the cloud.
  • Per-tool governance: Toggle any tool on or off with one switch to hide destructive tools from every agent fleet-wide.
  • Live observability: Per-server latency, error rates, and a full audit trail of every tool call built into the app.
  • Cross-platform local runtime: Runs on Windows, macOS, and Linux with no account and no cloud dependency, released under the MIT license on GitHub.
  • Toolport for Teams: Shared governed set of MCP servers for a whole team (free for up to 5 people) while each person's API keys stay on their own machine.

Best for

  • Individual AI power users running Claude, Cursor, and Codex who want a single place to configure MCP servers instead of pasting the same setup into each agent.
  • Engineers hitting context-window limits from bloated tool-definition tokens who need lazy discovery to keep long agent sessions cheap and sharp.
  • Security-minded developers who need API keys stored in the OS keychain and cryptographic integrity checks against tool poisoning and definition rug-pulls.
  • Small teams (up to 5 people) who want one governed catalog of MCP servers while keeping each engineer's credentials on their own machine.
  • Agent-tooling authors who want a local audit trail of latency, error rates, and every tool invocation across servers for debugging.
  • Ops leads applying per-tool governance to hide destructive actions (writes, deletes) from every agent with a single fleet-wide toggle.
View Toolport details