MCP server

SingChat Official

org.singchat/singchat

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

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

Working at last checkVerified publisher: singchat.orgAbout 2,943 tokens per request once connected17 tools

Website

https://mcp.singchat.org

At a glance

Type: MCP server
Publisher: singchat.org (verified by the MCP Registry)
Status: Working at last check
Tools: 17
Token cost: About 2,943 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http singchat https://mcp.singchat.org

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.singchat]
url = "https://mcp.singchat.org"

Gemini CLI

{"mcpServers":{"singchat":{"httpUrl":"https://mcp.singchat.org"}}}

Cursor

{"mcpServers":{"singchat":{"url":"https://mcp.singchat.org"}}}

VS Code

{"servers":{"singchat":{"type":"http","url":"https://mcp.singchat.org"}}}

Antigravity

agy mcp add singchat https://mcp.singchat.org

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"singchat","server_url":"https://mcp.singchat.org","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"singchat","server_url":"https://mcp.singchat.org"}

Tools

add_knowledge ~246 tokens
Train the AI agent by adding a knowledge source. type='url' crawls a website (up to 50 pages, fewer when the workspace knowledge-base quota is nearly full); type='qa' stores a single question/answer pair. Ingestion is asynchronous, the source starts as PENDING; poll `list_knowledge` for READY status
claim_account ~109 tokens
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 ~300 tokens
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 ~144 tokens
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.
get_analytics ~141 tokens
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 ~110 tokens
Fetch a single conversation with its contact details and the most recent messages (oldest→newest).
get_embed_snippet ~143 tokens
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 ~224 tokens
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 ~88 tokens
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 ~284 tokens
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`.
ping ~56 tokens
Health check for the SingChat MCP server. Returns 'pong' and whether this request is authenticated to a workspace.
reply_to_conversation Sends messages · ~180 tokens
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.
resolve_conversation ~107 tokens
Mark a conversation as RESOLVED (closes it). The visitor's widget will no longer show it as active.
search ~180 tokens
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 li
search_knowledge ~166 tokens
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).
set_keywords ~239 tokens
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').
singchat_setup ~226 tokens
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 browse

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