srs-mcp
srs-mcp
与代理无关的 MCP 服务器,用于间隔重复学习——**无需 Anki GUI、无需 Xvfb、无需 AnkiConnect。**自带代理;它提供卡片盒 + 调度器。
它将 FSRS(Free Spaced Repetition Scheduler,现代 Anki 使用的同款算法)封装在一个小巧的 SQLite 存储之上,因此代理可以创建卡片、查看到期卡片并记录回忆情况——完全无头运行。
为什么不用无头 Anki?
无头驱动 Anki 桌面应用意味着需要 Qt + 虚拟帧缓冲(Xvfb)+ AnkiConnect 插件——既脆弱又和版本强耦合。如果你需要与手机上的 Anki 互通,anki PyPI 包可以在无 GUI 的情况下驱动真实的 .anki2 集合。但如果你只是想要 API 背后的间隔重复,你根本不需要 Anki:FSRS 是一个库,而这个服务器只是围绕它的约 200 行代码。
Related MCP server: Memory MCP Server
工具
add_card(front, back) -> {card_id, due}— 创建并调度一张卡片。保持back简短——一个词或一个短语;无法在几秒内评分的卡片是笔记,而不是闪卡due_cards(q=None, limit=20) -> [{card_id, front, back, deck, due}]— 当前到期的卡片,可选地按主题缩小范围(q="horace")grade_card(card_id, rating) -> {card_id, rating, next_due, reps}— 记录回忆情况(again/hard/good/easy,或 1-4)edit_card(card_id, front=None, back=None)— 就地编辑内容;调度保持不变(修正拼写错误/缩短冗长答案,而不是重复创建)suspend_card(card_id)/unsuspend_card(card_id)— 搁置一张卡片(保留其历史,从到期队列中移除)/ 恢复它list_cards(q=None, limit=50)— 无论到期日期如何,概览所有卡片delete_card(card_id)— 删除一张(重置/清理)stats(deck=None) -> {total, due_now, suspended, reviews, decks}
查找卡片:搜索,而非牌组
卡片通过搜索其文本来查找——due_cards(q="horace")——而不是预先将它们归档到牌组中。不再有任何东西写入 deck 字段;把主题写进卡片本身("Horace, Odes 1.11: …"),它就能保持可被找到。
牌组是单值、自由文本、精确匹配的标签,没有附加任何按牌组的调度,所以它们没有带来搜索做不到的事情,反而牺牲了准确性:在用于衡量的牌组上,代理们发明了十个 Horace 的名称,跨越五种分隔符约定,因此最好的 deck="Horace" 只能从 97 张 Horace 卡片中返回 20 张,而 q="horac" 返回 89 张——包括那些被错误归档到 Talks 下的。due_cards/list_cards/stats 上的列和 deck= 过滤器保留给旧版本标记的卡片。参见 plans/002-decks.md。
复习循环:due_cards → 用 front 考问用户 → 对照 back 检查 → grade_card。FSRS 根据评分计算下一个到期日期。
运行
uv sync
# HTTP (default; for Railway / remote agents)
PORT=8000 uv run srs-mcp
# or stdio (local agent)
MCP_TRANSPORT=stdio uv run srs-mcp存储
两种后端,启动时选择:
Postgres(共享牌组) — 将
SRS_DATABASE_URL(或DATABASE_URL)设置为 Postgres 连接字符串(例如 Neon DB)。指向同一 URL 的每个部署都读写一个共享牌组,因此你可以从任何地方(本地、Railway 等)添加和复习卡片。FSRS 卡片 ID 很大,所以 Postgres 上的cards.card_id列是BIGINT。需要psycopg依赖(已声明)。SQLite(回退) — 当未设置
*DATABASE_URL时,卡片存放在SRS_DB指定的 SQLite 文件中(默认./srs.db)。单主机/离线。在 SQLite-on-Railway 设置中,在/data挂载一个卷并保持SRS_DB=/data/srs.db,这样卡片盒就能在重新部署后存活。
模式完全相同(表 cards),并在首次使用时自动创建。
Available Tools
9 toolsadd_cardA
Author a new flashcard and schedule it. front is the prompt/question,
back is the answer. Optional deck groups cards (default 'default').
Returns JSON {card_id, due}. The card is due immediately (first review).
| Name | Required | Description | Default |
|---|---|---|---|
| back | Yes | ||
| deck | No | default | |
| front | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses that the card is due immediately and returns JSON with card_id and due. Covers scheduling and first review. No annotations provided, but description adequately conveys behavioral traits for a creation tool.
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?
Two sentences, front-loaded with purpose, no wasted words. Efficiently covers all essential information.
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?
Complete for a simple creation tool. Covers purpose, parameters, return value, and scheduling. Output schema is present, so return details are handled. No gaps given the tool's complexity.
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?
Schema has 0% description coverage, but the description explains front as prompt/question, back as answer, and deck as group with default. Adds significant meaning beyond schema types.
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?
Clearly states the verb 'Author' and resource 'flashcard', and mentions scheduling. Distinguishes from sibling tools like delete_card, edit_card, grade_card, etc. by focusing on creation.
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?
Provides clear context for when to use (creating a new card) and explains optional 'deck' parameter with default. Lacks explicit when-not or alternatives, but the purpose is distinct from siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
delete_cardC
Delete a card by id (reset / cleanup).
| Name | Required | Description | Default |
|---|---|---|---|
| card_id | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavior. It says 'delete' but adds '(reset / cleanup)' which suggests non-permanent deletion, but this is not elaborated. No mention of consequences, reversibility, or permissions.
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?
Very short, but conciseness is not a virtue when it sacrifices clarity. The structure is front-loaded but lacks sufficient detail for safe agent use.
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?
Although operations with 1 parameter and an output schema could be simple, the description fails to explain return values, side effects, or the precise meaning of '(reset / cleanup)'. This is incomplete for a deletion tool.
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?
Schema description coverage is 0%, and the description only says 'by id'. It adds no detail about the card_id parameter beyond what the schema already provides (integer, required). Ambiguity remains about acceptable values.
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?
Description clearly states the verb (Delete), resource (card), and scope (by id). It also distinguishes from sibling tools like edit_card or suspend_card, which have different actions.
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?
No guidance on when to use delete vs. alternatives like suspend_card. The parenthetical '(reset / cleanup)' hints at a specific use case but is ambiguous and not explicitly explained.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
due_cardsA
List cards due for review now (due <= now), soonest first. Optionally
filter by deck. Returns a JSON array of {card_id, front, back, deck, due}.
Quiz the user with front, check against back, then call grade_card.
Returns '[]' when nothing is due.
| Name | Required | Description | Default |
|---|---|---|---|
| deck | No | ||
| limit | No |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses return format, sorting, empty case, and optional filter. However, it omits behavior related to the limit parameter and does not explicitly state that it is read-only or safe.
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 extremely concise: three sentences that front-load the main purpose, then cover options, return format, and usage hint. No unnecessary words, every sentence adds value.
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 simple schema (two parameters) and the presence of an output schema, the description covers the essential aspects: purpose, filter, return format, and usage. The omission of the limit parameter's meaning is a minor gap that slightly reduces completeness.
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 description clarifies the `deck` parameter as a filter, adding meaning beyond the schema. However, the `limit` parameter (default 20) is not mentioned at all, leaving its purpose unclear. With 0% schema coverage, the description only partially compensates.
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 clearly states the tool lists cards due for review, with a specific scope (due <= now) and ordering (soonest first). It distinguishes from siblings like list_cards by focusing on due cards, and it explicitly outlines the return format and workflow.
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 a workflow: fetch due cards, then grade each using grade_card. It mentions filtering by deck. However, it does not explicitly compare with sibling tools like list_cards or state when not to use it, which would strengthen guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
edit_cardA
Edit a card's content without disturbing its schedule. Update any of
front, back, deck (omit or pass null to leave unchanged); the FSRS
review state (difficulty, stability, due date, reps) is preserved. Use
this to fix typos or add context instead of creating a duplicate card.
Returns JSON {card_id, front, back, deck}.
| Name | Required | Description | Default |
|---|---|---|---|
| back | No | ||
| deck | No | ||
| front | No | ||
| card_id | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses that FSRS review state (difficulty, stability, due date, reps) is preserved. It also specifies the return format (JSON with card_id, front, back, deck).
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?
Three sentences, front-loaded with the core action and constraint. Every sentence adds value: purpose, parameters, usage advice, return format. No unnecessary words.
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 4 parameters, no annotations, and a mentioned output schema, the description covers all necessary info: what it does, how parameters work, behavioral traits, return format. It is complete for a simple update tool.
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?
Schema coverage is 0%, but the description adds full meaning: 'Update any of front, back, deck (omit or pass null to leave unchanged)'. It explains that card_id is required and optional parameters are nullable with default null.
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 clearly states the verb 'Edit', the resource 'card', and the key constraint 'without disturbing its schedule'. It distinguishes from sibling tools like add_card and delete_card.
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 explicitly says 'Use this to fix typos or add context instead of creating a duplicate card', providing clear usage guidance. It implies when to use (fix typos, add context) and when not (schedule changes).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
grade_cardA
Record a review of a card. rating is how well it was recalled:
'again' (forgot), 'hard', 'good', or 'easy' (1-4 also accepted). FSRS
updates the schedule; returns JSON {card_id, rating, next_due, reps}.
| Name | Required | Description | Default |
|---|---|---|---|
| rating | Yes | ||
| card_id | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description carries full burden. It discloses that FSRS updates the schedule and returns the expected JSON structure, but doesn't mention side effects like changing due dates or whether re-grading is allowed.
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?
Two sentences with no wasted words. First sentence states the action, second provides parameter details, schedule effect, and return format. Well-structured and front-loaded.
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 low-complexity tool with 2 required parameters and a simple return structure, the description covers all essential aspects: action, parameter values, effect (FSRS schedule update), and output format. No gaps given the sibling context.
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?
Schema has 0% description coverage, but the description fully explains rating values ('again', 'hard', 'good', 'easy' with 1-4 accepted) and implicitly defines card_id as identifying the card to grade. Adds significant meaning beyond the schema.
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 clearly states 'Record a review of a card' which is a specific verb+resource. It distinguishes from sibling tools (add, delete, edit, etc.) by focusing on the review/grading action.
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?
No explicit guidance on when to use or not use this tool versus alternatives. The purpose implies usage after a card is reviewed, but lacks prerequisites or context for appropriate invocation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_cardsA
List cards (newest first) regardless of due date, for an overview.
Optionally filter by deck. Returns JSON array of
{card_id, front, back, deck, due, reps, suspended}.
| Name | Required | Description | Default |
|---|---|---|---|
| deck | No | ||
| limit | No |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full weight. Clearly indicates read-only behavior (list), sorting, optional filter, and return format. Lacks mention of authentication or rate limits, but sufficient for a simple list operation.
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?
Two sentences, front-loaded with main purpose. No unnecessary words.
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?
Covers purpose, ordering, filter, and return structure. Output schema exists but description still details the returned fields. Adequate for a simple list tool.
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?
Schema coverage is 0%, so description must compensate. Mentions `deck` as optional filter with some context, but does not explain accepted values or behavior when omitted. `limit` not explained. Adds partial meaning beyond schema.
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?
Clearly states verb (List), resource (cards), ordering (newest first), and scope (regardless of due date). Distinguishes from due_cards sibling by explicitly noting the lack of due date filtering.
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?
Implies usage via contrast with due_cards (lists all cards, not just due). Does not explicitly state when to use vs. other siblings or provide exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
statsA
Summary of the card box: total cards, how many are due now, total
reviews, and the deck list. Optionally scope counts to one deck.
| Name | Required | Description | Default |
|---|---|---|---|
| deck | No |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description adequately conveys a read-only, non-destructive operation. It clearly indicates what the tool returns. However, it does not mention rate limits, required permissions, or potential empty results, which would be helpful.
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 one clear, well-structured sentence with no extraneous words. Every part contributes to understanding the tool's function.
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 presence of an output schema (assumed to detail return values), the description covers the main outputs and parameter. Slight omission: it does not mention whether the deck list includes non-empty decks only or all decks.
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 description explains the sole optional parameter 'deck' as a filter to scope counts, adding meaning beyond the bare schema (which lacks descriptions). For a single parameter, this is sufficient.
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 clearly states the tool provides a summary of the card box with specific components (total cards, due now, total reviews, deck list) and mentions optional scoping by deck. This distinguishes it from sibling tools like due_cards or list_cards.
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 the tool is for obtaining an overview, but it does not explicitly state when to use it versus siblings (e.g., 'for a quick overview, use stats; for detailed card info, use list_cards'). No when-not-to-use guidance is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
suspend_cardA
Shelve a card: keep it (with its full history and schedule) but remove it from the due queue, so it won't surface in due_cards until unsuspended. Reversible, non-destructive alternative to delete_card for cards you're unsure about. Returns JSON {card_id, suspended}.
| Name | Required | Description | Default |
|---|---|---|---|
| card_id | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses reversibility, non-destructiveness, retention of history and schedule, and return format. No annotations exist, so description compensates well, though minor details like behavior on already-suspended cards omitted.
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?
Two sentences, front-loaded with action and key details. No wasted words.
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 simplicity (1 param, no annotations), description covers purpose, usage, behavior, return format fully. Output schema exists but description already provides key return info.
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?
Only one parameter (card_id), self-explanatory from context. Schema coverage is 0%, but the parameter is trivial and description doesn't add extra semantics beyond obvious.
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?
Clearly defines the tool as shelving a card, keeping history and schedule but removing from due queue. Distinguishes from siblings like delete_card and unsuspend_card.
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?
Explicitly states it is a reversible, non-destructive alternative to delete_card for uncertain cards, providing clear when-to-use guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
unsuspend_cardA
Un-shelve a previously suspended card, returning it to the review queue (it becomes due again per its existing schedule). Returns JSON {card_id, suspended}.
| Name | Required | Description | Default |
|---|---|---|---|
| card_id | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses the return format and that the card becomes due per its existing schedule, but does not mention prerequisites (e.g., card must be suspended) or side effects like schedule changes.
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 two impactful sentences with no wasted words. It front-loads the action and includes the return format compactly.
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 simple tool with one parameter and an output schema (mentioned in description), the description adequately covers purpose and basic behavior. It could mention that the card must be suspended, but overall it is 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?
The only parameter 'card_id' is not explained beyond the schema, and schema coverage is 0%. The description does not add meaning about what card_id is or how to obtain it, leaving ambiguity.
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 clearly states the tool's function: unsuspending a previously suspended card and returning it to the review queue. It uses a specific verb 'unsuspend' and resource 'card', and distinguishes from the sibling 'suspend_card'.
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 the tool should be used only on cards that are currently suspended, but does not explicitly state when not to use it or provide alternatives. The context is clear enough for an agent.
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.
9 tool updates
v0.2.1- First observed
add_card - First observed
delete_card - First observed
due_cards - First observed
edit_card - First observed
grade_card - First observed
list_cards - First observed
stats - First observed
suspend_card - First observed
unsuspend_card
TDQS
Scored across 9 tools
Each tool has a clearly distinct purpose: adding, deleting, editing, listing, reviewing, grading, stats, suspending, and unsuspending cards. No two tools overlap in functionality.
All tool names follow a consistent verb_noun pattern in snake_case, e.g., add_card, delete_card, grade_card. Names are predictable and readable.
9 tools is well-scoped for a spaced repetition system, covering all essential operations without bloat. Each tool earns its place.
Covers core CRUD, review workflow, statistics, and suspension. Missing explicit deck management (e.g., create/delete deck) but decks are manageable via card properties.
Maintenance
Related MCP Connectors
Build and study spaced-repetition flashcards with your agent.
Spaced-repetition flashcards in Markdown: create cards, manage decks and study with FSRS.
Spaced-repetition flashcards your AI writes, quizzes you on by voice, and schedules with FSRS.
Agent-native spaced-recall system of record. Deterministic dueAt via remote MCP for Muse/any agent.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceProvides a privacy-first adaptive review engine with local SQLite storage, enabling item creation, due review retrieval, grading, and statistics via MCP tools.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to store, search, and manage persistent memories, todos, kanban boards, reminders, and progress trackers in a local SQLite database.1Apache 2.0
- AlicenseAqualityCmaintenanceProvides spaced-repetition scheduling with the SM-2 algorithm as MCP tools, enabling agents to manage review items like flashcards or vocab locally. It supports adding, grading, and listing due items, plus optional pro features for export and forecast.6MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI clients to create spaced-repetition flashcards from material being learned, quiz users aloud, grade answers, and schedule reviews using the FSRS algorithm through a self-hosted MCP server.7AGPL 3.0