ZBS Index What actually exists in applied AI, with the source next to it

mcp server

SingChat

Free live chat and AI support agent. Auto-create a workspace and embed from your AI editor.

Description as published by the maintainer. Source

  • version 0.2.0
  • active

active — Registry entry last updated 2026-07-16.

What this server can do

17 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

add_knowledge(url, type, answer, question)
Train the AI agent by adding a knowledge source. type='url' crawls a website (up to 50 pages); type='qa' stores a single question/answer pair. Ingestion is asynchronous, the source starts as PENDING; poll `list_knowledge` for READY status. Required: type.
claim_account
Return the link to claim (permanently secure) this SingChat workspace by setting an email and password. Use this for workspaces that were auto-created via MCP so the user does not lose access. The link is single-use and expires after 15 minutes. Requires an authenticated legacy workspace.
configure_agent(model, enabled, providerMode, systemPrompt, greetingMessage)
Configure this workspace's AI support agent. All fields are optional, only the fields you pass are updated; the rest keep their current values. Call with no fields to just read back the current configuration. Does not touch or return any API keys.
fetch(id)
Fetch the full text of a single document by id, using an id returned by the search tool. With a workspace API key this reads a knowledge document from that workspace; without a key it reads a SingChat help article. Returns id, title, text, url, and optional metadata. Required: id.
get_analytics(days)
Return a compact analytics summary for this workspace over the last `days` days (default 30): conversation counts + resolution rate, message volume + AI share, plus a live snapshot of today (UTC).
get_conversation(conversationId)
Fetch a single conversation with its contact details and the most recent messages (oldest→newest). Required: conversationId.
get_embed_snippet(platform)
Return the SingChat chat-widget embed code for this workspace's web inbox, in three flavors: plain HTML, React (useEffect), and Next.js (next/script). Requires a workspace API key. Optionally pass `platform` to get just one flavor.
list_conversations(limit, search, status)
List the workspace's support conversations (agent/inbox view), newest activity first. Optionally filter by status or a free-text search over the contact name/email and last message. Returns a compact list: id, contact name, status, unreadCount, last message preview, updatedAt.
list_knowledge
List all knowledge documents for this workspace with their processing status (PENDING | PROCESSING | READY | FAILED) and chunk counts. Use this to check whether items added via add_knowledge have finished training.
manage_faq(id, action, answer, enabled, question)
List, create, update, or delete this workspace's FAQ items (shown in the chat widget and usable by the AI agent). Set `action` to 'list' | 'create' | 'update' | 'delete'. 'create' needs `question` + `answer`; 'update' and 'delete' need `id`. Required: action.
ping
Health check for the SingChat MCP server. Returns 'pong' and whether this request is authenticated to a workspace.
reply_to_conversation(content, conversationId)
Send an agent reply through a supported SingChat real-time inbox. This takes the conversation over from the AI and broadcasts the message to the visitor and agent inbox. Email, Telegram, and WhatsApp conversations are rejected before any change. Required: conversationId, content.
resolve_conversation(conversationId)
Mark a conversation as RESOLVED (closes it). The visitor's widget will no longer show it as active. Required: conversationId.
search(query)
Search SingChat for relevant documents. When called with a workspace API key, this searches that workspace knowledge base; without a key it searches SingChat's own help content (what SingChat is, adding the chat widget, MCP setup, free tier, AI training, channels, white label, pricing). Returns a list of results with id, title, and url. Use the fetch tool with a result id to read the full text. Required: query.
search_knowledge(topK, query)
Semantic search over the workspace knowledge base. Returns the most relevant chunks (with source document title and similarity score) for a query. Only searches documents that have finished training (status READY). Required: query.
set_keywords(reply, keywords, matchType)
Add a keyword auto-reply rule: when an inbound message matches any of the keywords, the bot replies with the given text. Good for canned FAQ-style triggers (e.g. keyword 'invoice' -> 'Download it from the billing page'). Required: keywords, reply.
singchat_setup(name)
Get the user up and running with SingChat live-chat. Call this FIRST. If no authenticated workspace is configured, this creates a brand-new free workspace and returns a short-lived, single-use browser claim link plus the website embed snippet. The user chooses their own sign-in details in the browser; no reusable credentials are returned to the model. If a workspace is already authenticated, it returns THIS workspace's embed snippet and dashboard link (it never creates a duplicate workspace).

Last successful function declaration observed on . Source: https://mcp.singchat.org. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://mcp.singchat.org.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
Latest published version 0.2.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-16 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-07-16 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
mcp tools declared 17 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe mcp.singchat.org
mcp endpoint status ok The server listed 17 functions when asked. as of probe mcp.singchat.org

Where to get it

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Tools declared by the MCP server at https://mcp.singchat.org — mcp.singchat.org, observed , trust tier 1.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.