Artifacts
Artifacts is an MCP server that saves and retrieves decisions, plans, and notes from AI sessions across clients via a hosted SSE endpoint.
About
Artifacts is a hosted MCP server that lets you store and retrieve decisions, plans, and notes produced during AI coding sessions so context survives when you switch between Claude Code, Cursor, Codex, or other MCP-capable clients. developers juggle validation writeups, implementation plans, and post-launch runbooks; without a shared artifact layer those fragments disappear in closed tabs. Artifacts exposes a remote SSE transport at a fixed URL on artifacts.mctx.ai, which lowers ops burden compared with self-hosted databases. Use it as structured external memory: capture what you decided, why, and what is next, then pull it back when you resume work days later. It complements repo docs and git history but does not replace version control, secrets management, or team wikis. Beginner-friendly registration is mostly adding the remote MCP entry; you still need discipline about what to save and naming. Ideal for multi-phase developer journeys where the same plan should follow you from scope to ship.
- Saves decisions, plans, and notes from AI sessions for later retrieval from any MCP client
- Hosted remote MCP endpoint over SSE at artifacts.mctx.ai (version 2.2.0)
- Works across clients instead of locking memory to one editor or chat product
- No local PyPI install required when using the published remote server URL
- Bridges ideation outputs into durable artifacts you can reference while coding
Artifacts by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
claude mcp add --transport sse artifacts https://artifacts.mctx.ai/v2.2.0Add your badge
Show developers this MCP server is listed on Skillselion. Paste this into your README.
| Transport | SSE |
|---|---|
| Auth | None |
What it does
Persist decisions, plans, and session notes from any AI client and recall them later so developers do not lose context across tools.
Who is it for?
Best when you use multiple AI coding tools and want a lightweight shared memory for specs, ADRs, and sprint notes.
Skip if: Organizations that need on-prem-only data residency, fine-grained RBAC, or a full document CMS with review workflows.
What you get
After you connect the remote Artifacts MCP server, you can store session outputs once and ask any supported agent to fetch them later.
- Retrievable decisions, plans, and notes stored from prior AI sessions
- Continuity when switching between MCP clients on the same project
- A lightweight external artifact layer alongside your repo
By the numbers
- Hosted MCP version 2.2.0 at https://artifacts.mctx.ai/v2.2.0
- Remote transport type SSE (no mandatory local PyPI package in registry)
- Purpose-built for saving and later retrieving session artifacts from any client
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FAQ
Who is Artifacts for?
Developers who split time across MCP-enabled agents and need one place to save plans and decisions outside a single chat history.
When should I use Artifacts?
Use it whenever you finish a planning or debugging session and want the spec, decision log, or notes available in the next client or tomorrow's thread.
How do I add Artifacts to my agent?
Register the remote MCP server URL https://artifacts.mctx.ai/v2.2.0 with SSE transport in Claude Code, Cursor, or another MCP client, then use Artifacts tools to save and retrieve content.