An MCP Server for Arknights fan creation (同人創作) AI agents. Powered by the PRTS Wiki MediaWiki API and auto-synced operator game data, it gives any MCP-compatible client — Claude Desktop, Claude Code, Chatbox, and more — live access to lore, operator archives, and voice lines from the world of Terra.
This repository contains two independent implementations for different deployment scenarios:
| Directory | Language | Transport | Use case |
|---|---|---|---|
python/ |
Python 3.10+ | stdio + Streamable HTTP | Local Claude Desktop / Claude Code (stdio), self-hosted HTTP server |
ts/ |
TypeScript / Node.js + Bun | Streamable HTTP + stdio | Self-hosted HTTP server, local stdio for Claude Desktop / Code |
Two release lines ship in parallel:
| Line | Version | Tools | Status |
|---|---|---|---|
2.6 (main) |
2.6.1 |
24 | Nested template rendering and malformed-response hardening; activity page-range validation. |
1.7 LTS (lts/1.7) |
1.7.0 |
32 | Stable maintenance line. 1.7.x accepts only compatibility, security, data-sync, and critical bug fixes. |
The main and develop lines use the self-built arknights-data-pipeline Release exclusively for default Auto-Sync. The 1.7 LTS line retains its legacy upstream compatibility until a separate, backwards-compatible migration; changes to the new factory path must not be backported to LTS as an implicit source switch.
| Area | Python | TypeScript |
|---|---|---|
| MCP tools | Same 24 public tool names and required parameters (2.x) / 32 on 1.7 LTS | Same 24 (2.x) / 32 on 1.7 LTS |
| GameData | GAMEDATA_PATH or auto-synced zh_CN-excel.zip |
GAMEDATA_PATH or auto-synced zh_CN-excel.zip |
| Level data | Auto-synced zh_CN-levels.zip beside GameData |
Auto-synced zh_CN-levels.zip beside GameData |
| Story data | STORYJSON_PATH or auto-synced zh_CN.zip |
STORYJSON_PATH or auto-synced zh_CN.zip |
| Image artwork (2.5) | Enabled by default; MediaWiki on-demand or AKDP local assets (LOCAL_IMAGE=true) |
Enabled by default; MediaWiki on-demand or AKDP local assets (LOCAL_IMAGE=true) |
| Bundled fallback data | Docker image only | Docker image and published npm package (PyPI stays data-light) |
Both implementations consume the self-built arknights-data-pipeline Release. New releases carry a manifest.json with the prts-mcp-data/v1 contract, source versionId, and SHA-256/size for each archive; a mismatch is rejected before activation, while pre-manifest releases remain readable during the transition. The last activated generation stays in place on download, schema, or manifest failure.
GITHUB_MIRRORS is an explicit fallback for GitHub URL access. In Node deployments, standard HTTP_PROXY/HTTPS_PROXY (including lowercase spellings) are honored via Undici; Bun keeps its native fetch path. Proxy support does not weaken manifest or ZIP validation.
See docs/migration-1.x-to-2.0.md for the 1.x → 2.0 breaking changes (tool consolidation, operator_name → name, output channel), and docs/migration-0.x-to-1.0.md for the 0.x → 1.0 transition.
2.6.0 retains the established initialize/session flow for legacy MCP clients and adds opt-in support for the 2026-07-28 protocol era. Modern HTTP requests use the modern envelope and are stateless; they do not send Mcp-Session-Id. For stdio, the first request on a connection selects the era, so open a separate connection when changing protocol modes. See the 2.5 → 2.6 migration guide before switching a client to modern mode.
Both implementations expose the same tool set:
| Tool | Description |
|---|---|
search_prts(query, limit) |
Search PRTS Wiki by keyword, returns matching article titles |
prts_page(page_title, action, ...) |
Read a wiki page or metadata; template returns rendered fields from top-level templates |
get_operator_archives(name) |
Retrieve operator archive records (Chinese name) |
get_operator_voicelines(name) |
Retrieve operator voice lines (Chinese name) |
get_operator_basic_info(name) |
Retrieve basic operator profile: class, rarity, faction, recruit tags, talents (Chinese name) |
list_story_events(category?) |
List story events; optional filter: main (main story) or activities |
list_stories(event_id, include_summaries?) |
List chapters of an event in official order; include_summaries adds the event-level overview + per-chapter summaries |
get_story_summary(story_key) |
Single-chapter summary (LLM long summary or official one-liner) |
read_story(story_key, include_narration) |
Read full dialogue for a single chapter |
read_activity(event_id, include_narration, page, page_size) |
Read a complete activity's transcript, with pagination |
search(scope, pattern, max_results) |
Full-text regex search within a data domain: scope ∈ operators / enemies / stages / items |
search_stories(pattern, character?, line_type?, context_lines?, max_results?, event_id?) |
Full-text regex search across story dialogue, narration, and choice lines with filtering |
list_enemies() |
List all enemies in the handbook with threat level and description |
get_enemy_info(name, stage_id?) |
Retrieve full enemy handbook entry by name, or stage-specific stats when stage_id is provided |
get_stage_enemies(stage_id) |
List enemies actually spawned in a stage, with stage-specific levels and combat stats |
get_enemy_appearances(name, limit?, offset?) |
Reverse lookup stages where an enemy actually spawns |
list_stages(chapter?, type?, limit?, offset?) |
List stages with optional zone and stage-type filters |
get_stage_info(stage_id) |
Retrieve detailed stage information by stage ID |
list_items(category?, limit?, offset?) |
List items/materials from item_table.json with optional category filtering |
get_item_info(name) |
Retrieve item/material details, usage, obtain methods, drops, production, and shop links |
get_operator_memoirs(name) |
Resolve an operator's memoir (干员密录) story keys for follow-up read_story calls |
find_character_appearances(name, scope?, max_events?) |
Find chapters/events where a character speaks (dialog) or is mentioned (name substring) |
find_speakers_in(event_id) |
List every speaker in an event with dialog line counts |
operator_artwork(operator_name, action, artwork_id?, variant?) |
List operator illustrations/skins and retrieve image variants (base64); MediaWiki by default, AKDP local assets when LOCAL_IMAGE=true |
Both implementations keep markdown as the default, human-readable output on MCP's content field. Deployments whose client consumes MCP-native structuredContent can opt in via a connection-level output_channel knob (content (default) / structured / both):
- Python —
PRTS_OUTPUT_CHANNELenvironment variable. - TypeScript —
?output_channel=query string,x-prts-output-channelheader, orPRTS_OUTPUT_CHANNELenv.
The default content requires no configuration and is unchanged from 1.x. See the 2.0 migration guide for the per-tool mapping and the rationale for choosing a channel over a per-call format parameter.
The operator_artwork tool (2.5.0+) is enabled by default. Two data source modes are selected by LOCAL_IMAGE:
| Variable | Default | Description |
|---|---|---|
IMAGES_ENABLED |
true |
Master switch; false hides operator_artwork. |
LOCAL_IMAGE |
false |
true = sync AKDP local PNG assets (~1.5 GB); false = fetch on-demand from PRTS MediaWiki (zero download). |
PRTS_IMAGE_CACHE |
true |
In-memory LRU cache (256 MiB) for MediaWiki images; only effective when LOCAL_IMAGE=false. |
ORIGINAL_IMAGE |
false |
Also sync original-resolution shards; only effective when LOCAL_IMAGE=true. |
PRTS_IMAGE_DIR |
~/.local/share/prts-mcp/images/ |
AKDP asset sync target; only effective when LOCAL_IMAGE=true. Docker: /data/images. |
Zero-config: the tool works immediately via MediaWiki with caching. For the full offline AKDP experience, set LOCAL_IMAGE=true (triggers ~1.5 GB background sync).
Since 2.3.0 both implementations support both transports — pick by use case, not by language:
- Local stdio (Claude Desktop / Claude Code) → Python
prts-mcp(stdio, default) or TypeScriptnpx prts-mcp-ts-stdio - HTTP server (self-hosted, remote access) → Python
PRTS_TRANSPORT=http prts-mcpor TypeScriptnpx prts-mcp-ts - See
python/andts/for per-implementation details
The TypeScript implementation supports Bun and Node.js. Since 2.2.0 Bun is the default production runtime: the default ts/Dockerfile, the primary CI verification path, and the recommended Docker deployment all run under Bun (verified against Bun 1.3.14). Node.js remains a supported legacy/optional runtime via the prts-mcp-ts npm bin (so npx prts-mcp-ts stays zero-dependency), npm install -g, and the ts/Dockerfile.node build path. The npm publishing path still uses npm CLI (npm publish --provenance, runtime-agnostic).
- PRTS Wiki API (
https://prts.wiki/api.php) — lore articles, faction info, world-building entries - arknights-data-pipeline (
3aKHP/arknights-data-pipeline) — self-hosted data factory producing game data tables (zh_CN-excel.zip), level combat data (zh_CN-levels.zip), and parsed story dialogue with LLM summaries (zh_CN.zip) from a single GitHub Release
Game data lives in the gamedata volume. Level combat data lives in the gamedata-levels volume. Story data lives in the storyjson volume. After the server starts listening, all three are checked in the background immediately and then every hour without restarting the process. Set PRTS_AUTO_SYNC_INTERVAL_SECONDS to 60..604800 to change the interval, or 0 to keep startup sync only.
Published Docker images and the npm package include bundled fallback game/level/story data prepared by CI. The PyPI package stays lightweight and does not embed these data files; it relies on startup auto-sync or user-provided data paths.
See CONTRIBUTING.md for the contribution workflow and docs/dev/ENVIRONMENT.md for Linux/WSL, Windows, and macOS development setup.
明日方舟同人创作辅助 MCP Server。通过 PRTS Wiki API 和自动同步的干员数据，为 MCP 客户端（Claude Desktop、Claude Code、Chatbox 等）提供泰拉世界观检索与干员资料查询能力。
本仓库包含两个独立实现，适用于不同的部署场景：
| 目录 | 语言 | 传输方式 | 适用场景 |
|---|---|---|---|
python/ |
Python 3.10+ | stdio + Streamable HTTP | Claude Desktop / Claude Code 本地接入（stdio）、自建 HTTP 服务 |
ts/ |
TypeScript / Node.js + Bun | Streamable HTTP + stdio | 自建 HTTP 服务、Claude Desktop / Claude Code 本地接入（stdio） |
两个版本线并行维护：
| 版本线 | 版本 | 工具数 | 状态 |
|---|---|---|---|
2.6（main） |
2.6.1 |
24 | 模板嵌套字段安全渲染与 malformed-response 加固；活动剧情页码校验。 |
1.7 LTS（lts/1.7） |
1.7.0 |
32 | 稳定维护线。1.7.x 仅接受兼容性、安全性、数据同步和关键缺陷修复。 |
| 范围 | Python | TypeScript |
|---|---|---|
| MCP 工具 | 相同的 24 个工具名和必填参数（2.x）/ 1.7 LTS 为 32 个 | 相同的 24 个（2.x）/ 1.7 LTS 为 32 个 |
| 干员数据 | GAMEDATA_PATH 或自动同步 zh_CN-excel.zip |
GAMEDATA_PATH 或自动同步 zh_CN-excel.zip |
| 关卡战斗数据 | 自动同步与 GameData 并列的 zh_CN-levels.zip |
自动同步与 GameData 并列的 zh_CN-levels.zip |
| 剧情数据 | STORYJSON_PATH 或自动同步 zh_CN.zip |
STORYJSON_PATH 或自动同步 zh_CN.zip |
| 立绘图片（2.5） | 默认开启；MediaWiki 按需获取或 AKDP 本地资产（LOCAL_IMAGE=true） |
默认开启；MediaWiki 按需获取或 AKDP 本地资产（LOCAL_IMAGE=true） |
| bundled 兜底数据 | Docker 镜像 | Docker 镜像和正式 npm 包（PyPI 保持轻量） |
两套实现都消费自建 arknights-data-pipeline Release。新 Release 附带 manifest.json，声明 prts-mcp-data/v1 契约、源 versionId 以及每个压缩包的大小/SHA-256；不匹配会在激活前拒绝，迁移期间仍兼容没有 manifest 的旧 Release。下载、结构或 manifest 校验失败时，服务继续使用上一代已激活数据。
GITHUB_MIRRORS 是显式的 GitHub 访问备用路径；Node 部署会通过 Undici 使用标准 HTTP_PROXY/HTTPS_PROXY（也识别小写变量），Bun 保持原生 fetch 路径。代理不会绕过 manifest 或 ZIP 校验。
1.x → 2.0 的破坏性变更（工具面合并、operator_name → name、output channel）见 docs/migration-1.x-to-2.0.md；0.x → 1.0 迁移见 docs/migration-0.x-to-1.0.md。
2.6.0 保留既有 initialize/session 的 legacy MCP 客户端流程，并新增 opt-in 的 2026-07-28 协议时代支持。现代 HTTP 请求使用现代 envelope 且无状态，不发送 Mcp-Session-Id；stdio 由连接上的第一条请求选择协议时代，切换协议模式时请新建连接。把客户端切换到 modern 前，请先阅读 2.5 → 2.6 迁移指南。
两个实现提供相同的工具集：
| 工具 | 说明 |
|---|---|
search_prts(query, limit) |
关键词搜索 PRTS 维基词条，返回匹配标题列表 |
prts_page(page_title, action, ...) |
读取词条正文或元数据；template 返回顶层模板的结构化、已渲染字段数据 |
get_operator_archives(name) |
获取干员档案资料（中文名） |
get_operator_voicelines(name) |
获取干员语音记录（中文名） |
get_operator_basic_info(name) |
获取干员基本信息：职业、稀有度、所属、招募标签、天赋（中文名） |
list_story_events(category?) |
列出剧情活动，可选过滤：main（主线）或 activities（活动） |
list_stories(event_id, include_summaries?) |
列出指定活动的章节（按官方顺序）；include_summaries 附活动级概览 + 每章梗概 |
get_story_summary(story_key) |
获取单章梗概（LLM 长摘要或官方一句话简介） |
read_story(story_key, include_narration) |
读取单章完整台词 |
read_activity(event_id, include_narration, page, page_size) |
读取整个活动的完整剧情，支持分页 |
search(scope, pattern, max_results) |
在指定数据域执行全文正则搜索：scope ∈ operators / enemies / stages / items |
search_stories(pattern, character?, line_type?, context_lines?, max_results?, event_id?) |
在剧情台词中执行全文正则搜索，支持按角色和台词类型过滤 |
list_enemies() |
列出敌方图鉴中所有敌人及其威胁等级和描述 |
get_enemy_info(name, stage_id?) |
获取指定敌人的详细图鉴资料；传入 stage_id 时返回关卡级数值 |
get_stage_enemies(stage_id) |
获取指定关卡实际出场敌人及关卡级等级/战斗属性 |
get_enemy_appearances(name, limit?, offset?) |
反查指定敌人实际出现在哪些关卡 |
list_stages(chapter?, type?, limit?, offset?) |
列出关卡，支持按章节/区域和关卡类型过滤 |
get_stage_info(stage_id) |
根据关卡 ID 获取关卡详细信息 |
list_items(category?, limit?, offset?) |
列出物品/材料，支持按类别过滤和分页 |
get_item_info(name) |
获取物品/材料详情、用途、获取方式、掉落、基建产出和商店关联 |
get_operator_memoirs(name) |
解析干员密录的 story_key，便于后续 read_story 调用 |
find_character_appearances(name, scope?, max_events?) |
查找角色在哪些章节/活动中开口（对话）或被提及（名字子串） |
find_speakers_in(event_id) |
列出指定活动中所有发言角色及其对话行数 |
operator_artwork(operator_name, action, artwork_id?, variant?) |
列出干员立绘/时装并获取图片变体（base64）；默认走 MediaWiki，LOCAL_IMAGE=true 时使用 AKDP 本地资产 |
两个实现默认在 MCP 的 content 字段输出人类可读的 markdown。若部署环境使用的客户端能消费 MCP 原生的 structuredContent，可通过连接级的 output_channel 开关（content（默认）/ structured / both）启用：
- Python —
PRTS_OUTPUT_CHANNEL环境变量。 - TypeScript —
?output_channel=查询字符串、x-prts-output-channel请求头，或PRTS_OUTPUT_CHANNEL环境变量。
默认 content 无需任何配置，与 1.x 一致。各工具的通道映射，以及「为何选连接级通道而非 per-call 格式参数」的设计理由，见 2.0 迁移指南。
operator_artwork 工具（2.5.0+）默认开启。通过 LOCAL_IMAGE 选择数据源：
| 变量 | 缺省值 | 说明 |
|---|---|---|
IMAGES_ENABLED |
true |
主开关；false 隐藏 operator_artwork。 |
LOCAL_IMAGE |
false |
true = 同步 AKDP 本地 PNG 资产（~1.5 GB）；false = 从 PRTS MediaWiki 按需获取（零下载）。 |
PRTS_IMAGE_CACHE |
true |
MediaWiki 图片的内存 LRU 缓存（256 MiB）；仅在 LOCAL_IMAGE=false 时生效。 |
ORIGINAL_IMAGE |
false |
额外同步原图分辨率分片；仅在 LOCAL_IMAGE=true 时生效。 |
PRTS_IMAGE_DIR |
~/.local/share/prts-mcp/images/ |
AKDP 资产同步目标；仅在 LOCAL_IMAGE=true 时生效。Docker：/data/images。 |
零配置即可使用：默认走 MediaWiki + 缓存。若需离线全量体验，设置 LOCAL_IMAGE=true（触发 ~1.5 GB 后台同步）。
自 2.3.0 起两个实现都支持双传输——按场景选择，而非按语言：
- 本地 stdio 接入（Claude Desktop / Claude Code）→ Python
prts-mcp（stdio，默认）或 TypeScriptnpx prts-mcp-ts-stdio - HTTP 服务部署（自建服务器，供他人调用）→ Python
PRTS_TRANSPORT=http prts-mcp或 TypeScriptnpx prts-mcp-ts - 详见
python/和ts/
TypeScript 实现支持 Bun 与 Node.js。自 2.2.0 起 Bun 是默认生产运行时：默认 ts/Dockerfile、CI 主验证链与推荐 Docker 部署均在 Bun 下运行（最低验证版本 Bun 1.3.14）。Node.js 保留为受支持的 legacy/可选运行时，通过 prts-mcp-ts npm bin（因此 npx prts-mcp-ts 仍零额外运行时依赖）、npm install -g 与 ts/Dockerfile.node 构建路径提供。npm 发布路径仍走 npm CLI（npm publish --provenance，与运行时无关）。
- PRTS Wiki API (
https://prts.wiki/api.php) — 世界观词条、阵营设定 - arknights-data-pipeline (
3aKHP/arknights-data-pipeline) — 自建数据工厂，从单一 GitHub Release 产出游戏数据表（zh_CN-excel.zip）、关卡战斗数据（zh_CN-levels.zip）和剧情台词解析+LLM 摘要（zh_CN.zip）
干员/表格数据存放在 gamedata volume，关卡战斗数据存放在 gamedata-levels volume，剧情数据存放在 storyjson volume。服务器开始监听后会立即在后台检查，此后默认每小时检查一次，无需重启进程。可用 PRTS_AUTO_SYNC_INTERVAL_SECONDS=60..604800 调整周期，或设为 0 仅保留启动同步。
正式发布的 Docker 镜像和 npm 包会由 CI 预置 bundled 兜底数据；PyPI 包保持轻量，不内置这些数据文件，依赖启动时 auto-sync 或用户自行提供数据路径。
贡献流程见 CONTRIBUTING.md，Linux/WSL、Windows 和 macOS 的开发环境入口见 docs/dev/ENVIRONMENT.md。
MIT