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SingChat

R0· no sign-in

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

v0.2.0 · active · website · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality79good
Trust75of 100
Uptime, 30 days95%
Latency p50350 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "singchat": {
      "type": "http",
      "url": "https://mcp.singchat.org"
    }
  }
}
claude mcp add --transport http singchat https://mcp.singchat.org
[mcp_servers.singchat]
url = "https://mcp.singchat.org"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "singchat": {
      "type": "remote",
      "url": "https://mcp.singchat.org",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "singchat": {
      "type": "http",
      "url": "https://mcp.singchat.org"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=singchat&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLnNpbmdjaGF0Lm9yZyJ9"
}
{
  "servers": {
    "singchat": {
      "type": "http",
      "url": "https://mcp.singchat.org"
    }
  }
}
{
  "mcpServers": {
    "singchat": {
      "httpUrl": "https://mcp.singchat.org"
    }
  }
}
extensions:
  "singchat":
    enabled: true
    name: "singchat"
    type: streamable_http
    uri: "https://mcp.singchat.org"
    timeout: 300

Quality 79 / 100good

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene71 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • pass
    tools.description_lengthdescriptions are concise
  • pass
    tools.schemasevery tool has an object input schema
  • fail
    tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
  • fail
    tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: ping (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); claim_account (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); fetch (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
  • pass
    tools.token_costabout 2,400 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability100 · weight 15
  • pass
    stability.changesno tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

17 tools, about 2,400 tokens to load them all · tool set 6638fdd5784d · checked 2026-10-20 10:03 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 75 / 100

no-repository
provenance55
liveness98
freshness65
hygiene80

+dns-namespace +website +reachable +uptime-95% ~updated-96d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://mcp.singchat.org streamable-httpnoneyes95%350 ms2025-11-252026-10-20

Tools (17)

add_knowledgeTrain 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_accountReturn 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_agentConfigure 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.
fetchFetch 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_analyticsReturn 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_conversationFetch a single conversation with its contact details and the most recent messages (oldest→newest).
get_embed_snippetReturn 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_conversationsList 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_knowledgeList 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_faqList, 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`.
pingHealth check for the SingChat MCP server. Returns 'pong' and whether this request is authenticated to a workspace.
reply_to_conversationSend 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_conversationMark a conversation as RESOLVED (closes it). The visitor's widget will no longer show it as active.
searchSearch 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.
search_knowledgeSemantic 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_keywordsAdd 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_setupGet 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).

Schemas: list_tools.

Similar MCP servers

Official server.json
{
  "name": "org.singchat/singchat",
  "title": "SingChat",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mcp.singchat.org",
      "type": "streamable-http"
    }
  ],
  "version": "0.2.0",
  "websiteUrl": "https://mcp.singchat.org",
  "description": "Free live chat and AI support agent. Auto-create a workspace and embed from your AI editor."
}