Aghub is live · free · last verified 30 Oct 2026 · viability monitor
Aghub
Desktop hub that deploys one MCP server config and shared .skill packages across 23 AI coding agents
If you run three or more coding agents, Aghub is worth the install: one MCP server entry propagating to Claude Code, Cursor, Copilot and the rest is the entire pitch, and toggle-off-without-deleting speeds up diagnosing an agent that can't reach a server. Portable .skill packages with SHA-256 verification fix the second chore — re-creating the same skill per tool. The trade is local-only config: if your team needs shared cloud settings, this isn't that. Skip it if you use one assistant.
Verdict generatedVerified 10h ago · liveness 64/100 · cite: rightaichoice.com/tools/aghub
- Developers running three or more AI coding agents who want one source of truth for MCP servers
- Teams standardizing MCP server setup and skill packages across repositories
- Power users who want verifiable, portable .skill packages with SHA-256 and source tracking
- Agent-heavy workflows needing consistent tool access across Claude Code, Cursor, Copilot and the rest
- Developers who use a single coding assistant — one config file is simpler
- Teams needing shared cloud-hosted configuration synced automatically across machines
- Beginners unfamiliar with MCP or config-file concepts — the abstraction assumes that vocabulary
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Skip Aghub if you drive a single coding agent and hand-editing one config file is already painless, or if you need team configuration synced through a hosted service rather than files in git.
Aghub is published under an MIT license, so a solo developer with three agents and a ten-person platform team pay the same for the app itself. The real cost sits outside the license: the time of moving configs between machines by file or git, since the site describes no hosted sync tier you could buy to avoid it.
In short
Aghub — Desktop hub that deploys one MCP server config and shared .skill packages across 23 AI coding agents. Best for Developers running three or more AI coding agents who want one source of truth for MCP servers, Teams standardizing MCP server setup and skill packages across repositories, Power users who want verifiable, portable .skill packages with SHA-256 and source tracking. Free to use.
What is Aghub?
Aghub — Desktop hub that deploys one MCP server config and shared .skill packages across 23 AI coding agents. Best for Developers running three or more AI coding agents who want one source of truth for MCP servers, Teams standardizing MCP server setup and skill packages across repositories, Power users who want verifiable, portable .skill packages with SHA-256 and source tracking. Free to use.
Aghub is a free, MIT-licensed desktop app built with Tauri 2 that manages MCP server configuration and portable skills for AI coding assistants. Instead of hand-editing a JSON file for every tool, you write one MCP server config and it lands in Claude Code, Cursor, Windsurf, Gemini CLI, GitHub Copilot, Cline, RooCode, Warp, OpenAI Codex, Antigravity, Kimi Code CLI and the rest of the vendor's list — 23 agents, counted from the supported-agents list on the homepage even though the header still says 22+. Transports cover Stdio, SSE and StreamableHttp, and you can toggle a server off without deleting its config, which makes isolating a broken connection far less painful. An audit view shows which agents have each server registered. Skills ship as .skill packages with SKILL.md frontmatter, SHA-256 verification and source tracking, and can be pulled from the skills.sh marketplace — install once, use across any supported agent. Scoping runs at global, project or merged level, with per-agent filtering and audit trails for every managed resource. It's built for developers running several agents side by side who want a single source of truth, plus teams standardizing MCP setup across repos. If you only use one assistant, the manual config file is still simpler.
Key features
- Unified MCP server management across 23 AI coding agents
- Deploy one MCP server config to Claude Code, Cursor, Copilot and others
- Stdio, SSE and StreamableHttp transport support
- Toggle MCP servers off without deleting their configuration
- Audit view showing servers registered across all supported agents
- Import and export portable .skill packages across agents
- SKILL.md frontmatter for skill metadata
- SHA-256 verification and source tracking for skills
- skills.sh marketplace integration for skill discovery
- Global, project and merged configuration scoping
- Per-agent filtering for precise configuration control
- Audit trails for every managed resource
- Native desktop app built with Tauri 2 (Rust and TypeScript)
- Cross-platform: Windows 10+, macOS 12+, major Linux distros
- CLI integration and project config management
Behind the verdict
Aghub's value is narrow and real. MCP configuration is a per-tool chore: every agent keeps its own file, and adding one server means repeating the same block in Claude Code, Cursor, Copilot, Cline and so on. Aghub replaces that with one interface that writes to every supported agent, supports Stdio, SSE and StreamableHttp transports, and lets you toggle a server off without losing its config — which is exactly the step you want when one agent silently fails to reach a server and you're bisecting the cause. The audit view and per-agent filtering back that up by showing which agents actually have each server registered. The skills side is the more interesting half. .skill packages carry SKILL.md frontmatter plus a SHA-256 checksum and source tracking, so a skill you hand a teammate is verifiable rather than a folder you hope matches. skills.sh marketplace integration means you can pull an existing skill instead of authoring one, and the same package works in any supported agent. Global, project and merged scoping is the right model for a person who wants a default server set everywhere but a different one in a specific repo. Where it thins out: it's desktop-only (Windows 10+, macOS 12+, major Linux distros), configuration is local, and the homepage describes no cloud sync, no multi-user collaboration and no hosted registry of your own configs — teams move settings through files or git. The agent count is inconsistent in the vendor's own copy (header says 22+, the list names 23), so confirm your specific agent appears before assuming coverage. It also assumes you already know what MCP servers and skills packaging are; the navigation offers features and docs links rather than hand-holding walkthroughs. Build-wise, Tauri 2 with Rust and TypeScript and no bundled Chromium keeps the footprint small, which matters for a utility that lives in your tray. Treat Aghub as infrastructure for agent-heavy setups rather than a thing you adopt on day one of using a single assistant.
Limitations
- Aghub is a native desktop app (Tauri 2) for Windows 10+, macOS 12+ and major Linux distros — there is no browser version.
- Configuration is managed locally; the site describes no cloud sync, no multi-user collaboration and no hosted registry of your own configs, so teams have to move settings through files or git.
- It assumes familiarity with MCP servers and skill packaging, and the agent count is stated inconsistently (22+ in the header vs.
- 23 named in the supported-agents list), so verify your specific agent is covered.
- Nothing on the page describes vendor SLAs or a commercial offering; it is an MIT-licensed open-source project.
as of 2026-10-30
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Is Aghub still active?
Aghub is live · free · last verified 30 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is Aghub? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about Aghub?
What people actually say about Aghub — is it worth it?
Our community sentiment research written Jul 24, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Aghub— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 30 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Aghub 11 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed limitations, switching out, switching in, summary, who should skip it, our verdict, description, setup time, features, use cases, pricing fit
- — changed who it suits, description, our verdict, features, who should skip it, summary
- — changed switching in, who it suits, who should skip it, features, pricing fit, our verdict, setup time, description, use cases, summary, limitations, switching out, hidden costs
- — changed SSL certificate
- — changed SSL certificate, domain expiry
- — changed hidden costs, who should skip it, switching in, switching out, setup time, pricing fit
Showing the 6 most recent of 11 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Aghub cost in 2026?
Aghub: Free to use. Pricing last verified 30 Oct 2026.
Where the pricing makes sense
The company stage and team size where Aghub's pricing actually pencils out — and where peers do it cheaper.
Aghub is published under an MIT license, so a solo developer with three agents and a ten-person platform team pay the same for the app itself. The real cost sits outside the license: the time of moving configs between machines by file or git, since the site describes no hosted sync tier you could buy to avoid it.
Has Aghub's pricing changed?
No plan price for Aghub has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Aghub?
Pick Aghub if you are Developers running three or more AI coding agents who want one source of truth for MCP servers, Teams standardizing MCP server setup and skill packages across repositories, Power users who want verifiable, portable .skill packages with SHA-256 and source tracking, Agent-heavy workflows needing consistent tool access across Claude Code, Cursor, Copilot and the rest.
Look elsewhere if you are Developers who use a single coding assistant — one config file is simpler, Teams needing shared cloud-hosted configuration synced automatically across machines, Beginners unfamiliar with MCP or config-file concepts — the abstraction assumes that vocabulary, SSH-only or remote workflows where a local desktop app doesn't fit.
Skip it if Skip Aghub if you drive a single coding agent and hand-editing one config file is already painless, or if you need team configuration synced through a hosted service rather than files in git.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Aghub actually fits — and what changes day-one when you adopt it.
You add a new MCP server once in Aghub, pick the agents that should receive it, and set it as a global default with a per-project override for the repo that needs a different server set.
Outcome: Three agent configs stay in sync from one place, and an audit view tells you which of them actually has the server registered.
You keep the shared server definitions in the project scope, commit the resulting config, and hand the same .skill package with its SHA-256 checksum to each teammate.
Outcome: Everyone runs the same server set and the same verified skill version instead of reconstructing both per machine.
You open Aghub's audit view to see whether the server is registered in the failing agent, then toggle it off and back on without deleting its configuration.
Outcome: You isolate the broken connection in one toggle instead of re-typing the config block and guessing at the cause.
Use cases
- Deploy one MCP server definition to every coding agent you use instead of editing each agent's config by hand.
- Import a .skill package from skills.sh and use it in any supported agent without rewriting it.
- Set global defaults and override them per project so one repo gets a different server set.
- Audit which agents have a given MCP server registered when an agent unexpectedly can't reach it.
- Distribute a verified .skill file with its SHA-256 checksum so teammates run the same skill version.
- Bring a new machine up quickly by applying your global config and pulling skills from the registry.
- Toggle a misbehaving MCP server off across agents to isolate which connection is failing.
Setup time & first value
How long it actually takes to get something useful out of Aghub — broken out by persona, not the marketing-page minute.
If you already have MCP server definitions to paste in, expect a few minutes to register them and mark which agents get them; add roughly the same again if you want project-scoped overrides. Skills install from existing .skill packages or skills.sh rather than being authored in the app. Budget extra time if you've never written a server config — the app assumes MCP vocabulary.
Switching to or from Aghub
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From hand-edited per-agent JSON: register each server once in Aghub, then let it write to every supported agent instead of maintaining the files separately.
- →From a single-agent config only: paste the existing server definitions into Aghub's global scope so they propagate to your other agents.
- →From loose skill folders: repackage as .skill files with SKILL.md frontmatter so SHA-256 verification and source tracking apply.
- ↗To a single coding agent: copy the server entries and skill files out and keep only that agent's own config.
- ↗To a team-hosted config system: keep Aghub project scopes as the source and export settings into files or git for the hosted side.
- ↗To manual management: Aghub writes agent configs locally, so the individual files remain editable outside the app.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Aghub”, and we withheld 6: 6 could not be judged, because “Aghub” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Aghub.
Official links
What are the best Aghub alternatives?
The closest alternatives to Aghub we list are Kasetto, Chrome DevTools MCP and agentcad. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Kasetto | Free | Free | — |
| Chrome DevTools MCP | Free | Free | — |
| agentcad | Free | Free | — |
Alternatives to Aghub
View all
Kasetto
Kasetto syncs skills, commands, MCP servers, and instructions to 23 AI coding agents from one YAML file.
Chrome DevTools MCP
Apache-2.0 MCP server that gives coding agents a live Chrome DevTools session for debugging, traces, and browser automation.
Tools that pair well with Aghub
Common stack mates teams adopt alongside Aghub, with the specific reason each pairing earns its keep.
Kasetto
Kasetto syncs skills, commands, MCP servers, and instructions to 23 AI coding agents from one YAML file.
Chrome DevTools MCP
Apache-2.0 MCP server that gives coding agents a live Chrome DevTools session for debugging, traces, and browser automation.
agentcad
agentcad is an open-source MCP server that lets AI coding agents write Python CAD scripts, render previews, and export STEP, STL, GLB, or
Aghub vs its closest rival
Aghub's closest head-to-head is with Spider Cloud — Choose Aghub if you manage multiple AI coding assistants and want to centralize MCP configurations locally for free. Choose Spider Cloud if you need a fast, cost-effective web scraping API with AI-powered extraction and Browser AI commands for your AI agents and RAG pipelines. They solve different problems entirely. Verdict generated
Head-to-head comparisons
Aghub vs Spider Cloud
Choose Aghub if you manage multiple AI coding assistants and want to centralize MCP configurations locally for free. Choose Spider Cloud if you need a fast, cost-effective web scraping API with AI-powered extraction and Browser AI commands for your AI agents and RAG pipelines. They solve different problems entirely.
GeneratedAghub vs Voyage Ai
Aghub and Voyage AI serve completely different needs: Aghub is a free desktop tool to manage MCP servers across many coding assistants, while Voyage AI is a paid enterprise API for domain-specific embeddings and rerankers. Choose Aghub if you're a developer hopping between multiple AI coding agents and want unified config; pick Voyage AI if you're building a RAG pipeline that demands high-accuracy retrieval on finance, legal, or code data.
GeneratedAghub vs Temporal Ai
Choose Aghub if you need a free, lightweight desktop tool to manage MCP server configurations across many AI coding assistants. Choose Temporal AI if you require a robust orchestration platform for building crash-proof AI agents and long-running workflows, especially with its new usage-based billing and custom roles.
GeneratedAghub vs Cognition Ai
Aghub is a free, desktop-first tool for developers who manage multiple AI coding assistants and want unified MCP configuration. Cognition AI’s Devin is an autonomous enterprise engineer for end-to-end tasks at scale. If you switch between agents daily, choose Aghub; if you need an AI that owns entire features from planning to PR, choose Cognition AI.
GeneratedFrequently asked questions
Best-of guides
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