TorchV AIS MCP Server
OfficialClick on "Deploy 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., "@TorchV AIS MCP Server search the knowledge base for onboarding documents"
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.
@torchv-team/ais-mcp
π TorchV AIS Knowledge Base MCP Server
A production-ready MCP server that enables read / write / edit / file transfer operations directly on the AIS enterprise knowledge base.
Related MCP server: SAG MCP Server
β¨ Features
π Unified access to AIS knowledge base
π οΈ Full MCP toolchain (read / write / management)
β‘ One-command startup via
npxπ Supports both STDIO and HTTP (streamable) transports
π Fine-grained permission control (
readonly / write / admin)
π Installation & Run
npx -y @torchv-team/ais-mcpπ Required Configuration
Before starting, set the following environment variables:
export KB_EXECUTE_URL="https://bot.torchv.com"
export KB_TOKEN="your-token"π How to get KB_EXECUTE_URL
π Steps:
Open your AIS instance
Copy the site origin from the browser address bar
π Example:
https://bot.torchv.comπ How to get KB_TOKEN
Recommended:
AIS β Admin Center β API Keys β Create KeyTemporary (not recommended for production):
Browser DevTools β Network β Inspect request β Copy tokenβοΈ Optional Configuration
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"}'π‘οΈ Permission Levels
π’
readonlyβ Read-only accessπ‘
writeβ Allows write / upload / publishπ΄
adminβ Full control (move / delete)
π§© Run Modes
π₯οΈ STDIO Mode (Local MCP Client)
npm run build
node dist/cli.jsor:
npm run dev
npm run startπ Streamable HTTP Mode
npm run build
node dist/cli.js \
--transport streamable-http \
--host 127.0.0.1 \
--port 3000 \
--path /mcpor:
npm run dev:http
npm run start:httpπ Parameters:
--transport streamable-http
--host 127.0.0.1
--port 3000
--path /mcpπ Claude / Codex Configuration
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 Mode
{
"mcpServers": {
"ais-http": {
"type": "streamable-http",
"url": "http://127.0.0.1:3000/mcp"
}
}
}π οΈ Tooling Overview
π Read-only
kb_list_reposkb_list_pathkb_treekb_searchkb_read_documentkb_render_linkkb_download_filekb_get_download_link
βοΈ Write
kb_write_documentkb_patch_documentkb_create_directorykb_copy_documentkb_publish_documentkb_upload_file
π§ Admin
kb_move_documentkb_delete_document
π§ About AIS
AIS is TorchVβs core product β not just a traditional knowledge base, but:
π§ An Enterprise AI Knowledge Engine
Core Capabilities
π Transform scattered data β structured knowledge
π Searchable
π§© Governable
β‘ Composable
π Optimizable
π Try AIS
π² Contact us (CEO WeChat):

Available Tools
8 toolskb_download_fileD
Inputs: code (required), localPath (required), extractIs, overwrite.
kb_get_download_linkD
Inputs: code (required), extractIs.
kb_list_pathD
Inputs: path (required), sort, limit.
kb_list_reposD
Inputs: sort, limit.
kb_read_documentD
Inputs: code, name, range, head, +2 more.
kb_render_linkD
Inputs: codes (required).
kb_searchD
Inputs: query (required), repoCode, path, file, +4 more.
kb_treeD
Inputs: path (required), depth, limit.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelogβ¦
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.
Related MCP Connectors
Read, edit and improve shared documents and knowledge with people and agents.
Software for your AI: company files, spreadsheets and rules, with per-person access and history.
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Read and draft requirements, controlled documents and trace links in Traceable Docs.
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