ChipsAI MCP Server vs SingChat
A side-by-side look at the ChipsAI MCP Server and SingChat 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 ChipsAI MCP Server for conversational ai work as a local process; choose SingChat for conversational ai over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose ChipsAI 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:
CHIPSAI_API_KEY, CHIPSAI_API_URL, CHIPSAI_USERNAME, CHIPSAI_PASSWORD. - You want tools like
list_chatbots, get_chatbot, create_chatbot.
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.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | S SingChat | |
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 47/100 · Fair | 52/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Remote HTTP/SSE |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | CHIPSAI_API_KEYCHIPSAI_API_URLCHIPSAI_USERNAMECHIPSAI_PASSWORD | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | — |
| Directory activity | 0 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 25 | 17 |
| Full listing | View ChipsAI MCP Server | View SingChat |
Tools & capabilities
ChipsAI MCP Server tools 25
list_chatbotsList all chatbots for the authenticated userget_chatbotGet full chatbot details (prompt, model, colors, etc.)create_chatbotCreate a new chatbot (returns embed script tag)update_chatbotUpdate chatbot fields (name, prompt, model, theme, colors, etc.)delete_chatbotSoft-delete (deactivate) a chatbotget_chatbot_configGet public widget configurationget_chatbot_analyticsGet analytics: messages, sessions, daily stats, devices, countriesupload_documentUpload PDF/DOC/DOCX to a chatbot's knowledge base (LlamaParse)list_conversationsList conversations, optionally filtered by chatbotcreate_conversationCreate a new conversationget_conversationGet conversation detailsupdate_conversationUpdate conversation title- +13 more on the listing page
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
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.
ChipsAI MCP Server
{
"mcpServers": {
"chipsai-mcp-server": {
"command": "uvx",
"args": [
"chipsai-mcp"
],
"env": {
"CHIPSAI_API_KEY": "YOUR_CHIPSAI_API_KEY_HERE",
"CHIPSAI_API_URL": "YOUR_CHIPSAI_API_URL_HERE",
"CHIPSAI_USERNAME": "YOUR_CHIPSAI_USERNAME_HERE",
"CHIPSAI_PASSWORD": "YOUR_CHIPSAI_PASSWORD_HERE"
}
}
}
}
SingChat
{
"mcpServers": {
"singchat-2": {
"url": "https://mcp.singchat.org"
}
}
}
Frequently asked questions
ChipsAI MCP Server is categorized under Conversational AI and uses a local stdio subprocess. SingChat belongs to Conversational AI and uses a remote HTTP/SSE transport. Pick ChipsAI MCP Server for conversational ai work and SingChat 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.
ChipsAI MCP Server has no declared pricing — check the project's own site. SingChat is listed as free. Auth: no auth required. 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 chipsai-mcp-server and singchat-2 as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, ChipsAI MCP Server has a quality signal of 47/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. SingChat has 52/100 (Good) with 0 views, 0 installs and 0 GitHub stars.