TorchV AIS MCP Server
Official@torchv-team/ais-mcp
🚀 TorchV AIS ナレッジベース MCP サーバー
AIS エンタープライズナレッジベースに対して直接 読み取り / 書き込み / 編集 / ファイル転送 操作を可能にする、本番環境対応の MCP サーバーです。
Related MCP server: Engineering Standards MCP Server
✨ 特徴
📚 AIS ナレッジベースへの統合アクセス
🛠️ 完全な MCP ツールチェーン (読み取り / 書き込み / 管理)
⚡
npxによるワンコマンド起動🔌 STDIO および HTTP (ストリーミング可能) トランスポートの両方をサポート
🔐 きめ細かな権限制御 (
readonly / write / admin)
🚀 インストールと実行
npx -y @torchv-team/ais-mcp🔑 必須設定
開始する前に、以下の環境変数を設定してください:
export KB_EXECUTE_URL="https://bot.torchv.com"
export KB_TOKEN="your-token"🌐 KB_EXECUTE_URL の取得方法
📌 手順:
AIS インスタンスを開く
ブラウザのアドレスバーからサイトのオリジンをコピーする
👉 例:
https://bot.torchv.com🔐 KB_TOKEN の取得方法
推奨:
AIS → Admin Center → API Keys → Create Key一時的(本番環境では非推奨):
Browser DevTools → Network → Inspect request → Copy token⚙️ オプション設定
export KB_MODE="readonly" # readonly | write | admin
export KB_TIMEOUT_SECONDS="30"
export KB_DEFAULT_REPO_CODE="TEAM_DOCS"
export KB_EXTRA_HEADERS_JSON='{"x-foo":"bar"}'🛡️ 権限レベル
🟢
readonly→ 読み取り専用アクセス🟡
write→ 書き込み / アップロード / 公開を許可🔴
admin→ フルコントロール(移動 / 削除)
🧩 実行モード
🖥️ STDIO モード (ローカル MCP クライアント)
npm run build
node dist/cli.jsまたは:
npm run dev
npm run start🌍 ストリーミング可能な HTTP モード
npm run build
node dist/cli.js \
--transport streamable-http \
--host 127.0.0.1 \
--port 3000 \
--path /mcpまたは:
npm run dev:http
npm run start:http📌 パラメータ:
--transport streamable-http
--host 127.0.0.1
--port 3000
--path /mcp🔌 Claude / Codex の設定
STDIO
{
"mcpServers": {
"ais": {
"command": "npx",
"args": ["-y", "@torchv-team/ais-mcp"],
"env": {
"KB_EXECUTE_URL": "https://your-ais-domain",
"KB_TOKEN": "your-token",
"KB_MODE": "readonly"
}
}
}
}HTTP モード
{
"mcpServers": {
"ais-http": {
"type": "streamable-http",
"url": "http://127.0.0.1:3000/mcp"
}
}
}🛠️ ツール概要
📖 読み取り専用
kb_list_reposkb_list_pathkb_treekb_searchkb_read_documentkb_render_linkkb_download_filekb_get_download_link
✏️ 書き込み
kb_write_documentkb_patch_documentkb_create_directorykb_copy_documentkb_publish_documentkb_upload_file
🔧 管理者
kb_move_documentkb_delete_document
🧠 AIS について
AIS は TorchV の中核製品であり、単なる従来のナレッジベースではなく、以下のようなものです:
🧠 エンタープライズ AI ナレッジエンジン
コア機能
🔄 散在するデータを構造化されたナレッジに変換
🔍 検索可能
🧩 ガバナンス可能
⚡ コンポーザブル(構成可能)
📈 最適化可能
🎁 AIS を試す
📲 お問い合わせ(CEO WeChat):

Available Tools
8 toolskb_download_fileD
| Name | Required | Description | Default |
|---|---|---|---|
| code | Yes | ||
| localPath | Yes | ||
| extractIs | No | ||
| overwrite | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kb_get_download_linkD
| Name | Required | Description | Default |
|---|---|---|---|
| code | Yes | ||
| extractIs | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kb_list_pathD
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | ||
| sort | No | ||
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kb_list_reposD
| Name | Required | Description | Default |
|---|---|---|---|
| sort | No | ||
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kb_read_documentD
| Name | Required | Description | Default |
|---|---|---|---|
| code | No | ||
| name | No | ||
| range | No | ||
| head | No | ||
| tail | No | ||
| lineNumbers | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kb_render_linkD
| Name | Required | Description | Default |
|---|---|---|---|
| codes | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kb_searchD
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| repoCode | No | ||
| path | No | ||
| file | No | ||
| docCode | No | ||
| codes | No | ||
| mode | No | ||
| topk | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kb_treeD
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | ||
| depth | No | ||
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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.
8 tool updates
v0.1.4- First observed
kb_download_file - First observed
kb_get_download_link - First observed
kb_list_path - First observed
kb_list_repos - First observed
kb_read_document - First observed
kb_render_link - First observed
kb_search - First observed
kb_tree
TDQS
Scored across 8 tools
The tools have overlapping purposes that could cause confusion, particularly around file/document operations. For example, kb_download_file, kb_get_download_link, and kb_render_link all seem related to accessing files, but their specific distinctions are unclear without descriptions. Similarly, kb_list_path and kb_tree both appear to involve directory/file listing, creating ambiguity in tool selection.
All tool names follow a perfectly consistent pattern: they all start with 'kb_' prefix and use snake_case throughout. This uniformity makes the tool set predictable and easy to parse, with no deviations in naming conventions across the eight tools.
With 8 tools, the count is reasonable for a knowledge base or document management server. It's slightly on the higher side but still well-scoped, suggesting a focused domain without being overly sparse or bloated. The number aligns well with typical MCP server tool counts.
Inferring from tool names, the server seems designed for knowledge base operations (e.g., listing, reading, searching, downloading). However, there are notable gaps: there are no clear tools for creating, updating, or deleting content, which limits full CRUD coverage. The surface covers retrieval and listing well but misses modification capabilities, potentially causing agent workarounds.
Maintenance
Related MCP Connectors
- KumbukaOAuthai.kumbuka
Governed, auditable knowledge your team curates for its AI assistants, self-hostable
The knowledge base your AI reads and writes, under your rules — over MCP, EU-hosted.
Knowledge base MCP for AI agents on iknow.dev. Search, read, and maintain via OAuth.
Publish and share access-controlled Markdown documents from any MCP-enabled AI tool.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceEnables accessing and managing personal/team internal knowledge repository with tools for semantic search, smart search, document listing, and saving information for future recall.Apache 2.0
- FlicenseNot gradedqualityDmaintenanceProvides AI assistants with structured access to an organization's engineering standards, practices, and processes through searchable knowledge base with CRUD operations and multi-dimensional organization.1-
- FlicenseNot gradedqualityDmaintenanceEnables secure access to an organizational knowledge base via Supabase (RLS), providing tools for search, retrieval, writing, version history, and change tracking.-
- AlicenseNot gradedqualityCmaintenanceEnables full read/write management of SAG knowledge bases, including source and document CRUD, semantic search, knowledge graph queries, and model configuration through 18 MCP tools.MIT
