82-0 Dream MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@82-0 Dream MCP Serverlist the available game scenarios"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
82-0 Dream MCP Server
82-0 Dream - NBA All-Time Lineup Game
A Model Context Protocol server that exposes the canonical 82-0 Dream knowledge surface — game modes, roster picks, and scenarios, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.
Official website: https://82-0.games
🎮 About 82-0 Dream
82-0 Dream is a browser-based NBA all-time lineup game where the player builds a five-position starting roster across decades and franchises, then runs a season simulation to see how close the chosen lineup gets to a perfect 82-0 record. The draft is structured around a slot machine: each round randomly produces a (team, decade) cell, and the player picks one eligible legend who actually played for that franchise in that period. After five picks the simulation tallies cumulative PTS, REB, AST, STL, and BLK against fixed thresholds — clear every threshold and the lineup goes 82-0; fall short and the record degrades non-linearly toward the minimum ratio. The whole experience runs on the open web with no account, no backend, and no live actions: lineup state is encoded into the URL so any draft can be shared, opened, and reproduced exactly.
Related MCP server: 17-0 MCP Server
Key Features
All-time team-era draft system — 1,355 NBA players are indexed across 181 distinct (team, decade) cells, with a median of 14 eligible candidates per cell, giving non-trivial choice on almost every spin.
Six-language interface — English, Spanish, Brazilian Portuguese, Japanese, Korean, and Traditional Chinese are all first-class routes, each served from a locale-prefixed URL.
Position-agnostic placement — any spin result can be slotted into any open position on the floor, so the player can sequence their draft around scarcity instead of being locked into PG → SG → SF → PF → C.
Physical slot machine — a real strip-scroll with deceleration, a stop button, and Web Audio sound effects, rather than a one-frame randomizer.
Stat-threshold season simulation — the season verdict is driven by five real basketball stat gates (points, rebounds, assists, steals, blocks), not a single composite rating.
Shareable, reproducible drafts — every roster compresses into a short base64 query parameter; opening a shared URL renders the exact same draft sequence and final record.
Dynamic OG images — each lineup permalink generates its own Open Graph card on the edge, so a draft posted on social media shows the actual roster rather than a generic preview.
Use Cases
Settling pickup arguments — set up the same era constraints for both sides and see whose draft holds up to the simulation gates.
Era-themed challenges — restrict picks to a single decade or franchise and see how close a thematic roster can get to a perfect season.
Streamer and creator content — record a five-spin draft and post the share URL so viewers can replay the exact run and compare their own attempt.
Casual NBA history — encounter unfamiliar role players from the 70s and 80s through the eligibility lists, with each cell surfacing more than just the obvious legends.
Social posts — share a permalink with the dynamic OG card to show the chosen lineup and outcome at a glance, without screenshots.
Who Is It For
82-0 Dream is built for fans who enjoy "could this lineup beat the league" debates and want a quick, structured way to express a take. It suits NBA-history hobbyists who already know the rotations of past dynasties and want a sandbox to test those combinations, as well as casual fans who use the team-era constraints as a guided tour of basketball history. The multi-language interface makes it usable for international communities where NBA discussion is active. Because the game is free, has no account, and stores nothing on a server, it works equally well for a one-off social post or a recurring weekly challenge among friends.
Tools
list_scenarios
Return the canonical list of game modes and scenarios the site exposes (free play, daily, leaderboards, etc.). (82-0 Dream)
Input: no parameters. Returns: text/markdown.
get_official_links
Return the canonical list of official links for 82-0 Dream (website, support, docs when available).
Input: no parameters. Returns: text/markdown.
Resources
site://82-0/scenarios— Available game modes, scenarios, and roster-building constraints.site://82-0/faq— Short FAQ generated from public site metadata.site://82-0/links— Canonical URLs to share with users.
Prompts
tell_me_about_82_0
Summarize what the site is, who it's for, and how it works. — 82-0 Dream
plan_a_run_82_0
Plan a single play-through: pick a mode, draft a roster strategy, and predict outcomes. — 82-0 Dream
Installation
Install via Smithery
npx -y @smithery/cli install 82-0-mcp --client claude(Replace claude with cursor, windsurf, or continue for those clients.)
Install from source
git clone https://github.com/rocnubie/82-0-mcp.git
cd 82-0-mcp
pnpm installThen add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):
{
"mcpServers": {
"82-0-mcp": {
"command": "node",
"args": [
"/absolute/path/to/82-0-mcp/src/index.mjs"
]
}
}
}Debug with MCP Inspector
npx @modelcontextprotocol/inspector node src/index.mjsOfficial Links
Website: https://82-0.games
Support: support@82-0.games
Development
pnpm install
pnpm start # run the server over stdioLicense
MIT
Available Tools
2 toolsget_official_linksA
Return the canonical list of official links for 82-0 Dream (website, support, docs when available).
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of behavioral disclosure. The term "canonical" conveys authority and the phrase "when available" adds nuance about conditional data. The read-only nature is implied by "Return," and there are no side effects to disclose. It does not mention output format or edge cases, but for a zero-parameter read tool this is adequate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence that states exactly what the tool does. Every word earns its place, with no filler or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter tool with no annotations and no output schema, the description is nearly complete: it names the resource (82-0 Dream) and the link types. It could be slightly more explicit about the return structure (e.g., an array of URL/name pairs), but the simplicity of the tool makes the description sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Zero parameters exist, so the baseline score is 4. The description does not need to explain parameters, and the schema is empty (100% coverage trivially). The description adds no parameter semantics, but there are none to describe.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ("Return") with a clear resource ("canonical list of official links for 82-0 Dream"), and the parenthetical clarifies the link types. It clearly distinguishes from sibling tool list_scenarios by focusing on links rather than scenarios.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage (when you need official links) but provides no explicit guidance on when to use this tool versus list_scenarios, nor any exclusions. The context is clear but not explicitly tied to a decision framework.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_scenariosA
Return the canonical list of game modes and scenarios the site exposes (free play, daily, leaderboards, etc.). (82-0 Dream)
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the transparency burden. It indicates a non-mutating operation by using 'Return', but does not disclose any side effects, authentication needs, or return format. For a simple list tool this is acceptable, but more detail (e.g., read-only guarantee, no parameters) would improve transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence that clearly states the action. However, the trailing '(82-0 Dream)' is cryptic and adds little value, slightly detracting from clarity and conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (0 params, no output schema), the description adequately covers what the tool does and the type of content returned. It could mention whether it requires authentication or if the list is static, but for a list tool with no parameters, it is reasonably complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, and the schema is empty (100% coverage by default). The description adds context about the content of the returned list (game modes, scenarios), which is helpful, though not strictly about parameters. Baseline is 4 due to no parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Return') and a clear resource ('canonical list of game modes and scenarios'), with concrete examples (free play, daily, leaderboards). This distinguishes it from the sibling get_official_links, which focuses on links rather than scenarios.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
While the description implies a read-only, authoritative listing, it does not explicitly state when to use this tool over alternatives or provide exclusions. The sibling tool get_official_links is not mentioned, so guidance is only inferred from the resource type.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
2 tool updates
v0.1.0- First observed
get_official_links - First observed
list_scenarios
TDQS
The two tools serve completely distinct purposes: one returns game scenarios/modes, the other returns official links. There is no overlap or ambiguity in their functions.
Both tools follow a consistent verb_noun pattern with 'list' and 'get' as the verbs. The naming is clear and predictable.
The server has only two tools, which feels thin for a general-purpose server. However, for a very narrow use case of retrieving canonical lists, the count might be acceptable, but it still borders on being too minimal.
The server covers the two core functions implied by its name: listing scenarios and providing official links. Minor gaps might exist, such as retrieving details for a specific scenario, but the surface seems adequately covered for a simple reference server.
Resources
Unclaimed servers have limited discoverability.
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