SingChat vs Twelvelabs MCP Server
A side-by-side look at the SingChat and Twelvelabs MCP Server MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
S
SingChatConversational AI · Remote HTTP/SSEFree live chat and AI support agent. Auto-create a workspace and embed from your AI editor.52GoodAuth: no auth requiredVerdict: choose SingChat for conversational ai work over a hosted endpoint; choose Twelvelabs MCP Server for conversational ai as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
SChoose SingChat when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a remote HTTP/SSE transport.
- Its auth model fits you: No auth required.
- You want tools like
ping, singchat_setup, get_embed_snippet.
Choose Twelvelabs MCP Server when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
ELEVENLABS_API_KEY. - You want tools like
twelvelabs_list_agents, twelvelabs_get_agent, twelvelabs_get_agent_prompt.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | S SingChat | |
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 52/100 · Good | 53/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | No auth required | Not declared |
| Pricing | Free | Not declared |
| Required env vars | None listed | ELEVENLABS_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | — | 0 |
| Directory activity | 0 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 17 | 25 |
| Full listing | View SingChat | View Twelvelabs MCP Server |
Tools & capabilities
SingChat tools 17
pingHealth check for the SingChat MCP server. Returns 'pong' and whether this request is authenticated to a workspace.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).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.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.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.get_conversationFetch a single conversation with its contact details and the most recent messages (oldest→newest).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.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.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.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).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.- +5 more on the listing page
Twelvelabs MCP Server tools 25
twelvelabs_list_agentsList all agents in your accounttwelvelabs_get_agentFull config: LLM model, voice, KB docs, webhook, prompt previewtwelvelabs_get_agent_promptFull untruncated system prompt texttwelvelabs_update_agent_promptReplace system prompt and/or first messagetwelvelabs_update_agent_settingsChange temperature, voice, TTS settings, languagetwelvelabs_update_agent_conversation_capabilitiesEnable chat file uploads and set the maximum-duration messagetwelvelabs_list_agent_conversationsRecent conversations for one agenttwelvelabs_get_agent_webhookCurrent webhook URLtwelvelabs_set_agent_webhookSet or remove webhook URLtwelvelabs_list_kb_docsAll KB docs with size and creation datetwelvelabs_get_kb_docFull extracted text content of a doctwelvelabs_add_kb_textAdd a plain text document- +13 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
SingChat
{
"mcpServers": {
"singchat-2": {
"url": "https://mcp.singchat.org"
}
}
}
Twelvelabs MCP Server
{
"mcpServers": {
"twelvelabs-mcp-server": {
"command": "npx",
"args": [
"-y",
"twelvelabs-mcp-server"
],
"env": {
"ELEVENLABS_API_KEY": "YOUR_ELEVENLABS_API_KEY_HERE"
}
}
}
}
Frequently asked questions
SingChat is categorized under Conversational AI and uses a remote HTTP/SSE transport. Twelvelabs MCP Server belongs to Conversational AI and uses a local stdio subprocess. Pick SingChat for conversational ai work and Twelvelabs MCP Server for conversational ai.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
SingChat is listed as free. Auth: no auth required. Twelvelabs MCP Server has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add singchat-2 and twelvelabs-mcp-server as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, SingChat has a quality signal of 52/100 (Good) with 0 views, 0 installs and 0 GitHub stars. Twelvelabs MCP Server has 53/100 (Good) with 0 views, 0 installs and 0 GitHub stars.