MCP Aichat vs Twelvelabs MCP Server
A side-by-side look at the MCP Aichat 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.
Verdict: choose MCP Aichat for conversational ai work as a local process; 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?
Choose MCP Aichat when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
ACEDATACLOUD_API_TOKEN. - You want tools like
aichat_create_conversation, aichat_create_conversation_v2, aichat_list_models.
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 | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 51/100 · Good | 53/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | ACEDATACLOUD_API_TOKEN | ELEVENLABS_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 0 |
| Directory activity | 0 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 4 | 25 |
| Full listing | View MCP Aichat | View Twelvelabs MCP Server |
Tools & capabilities
MCP Aichat tools 4
aichat_create_conversationCreate an AI conversation with any supported modelaichat_create_conversation_v2Create/manage conversations via `/aichat2/conversationsaichat_list_modelsList all available AI modelsaichat_get_usage_guideGet API usage guide
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.
MCP Aichat
{
"mcpServers": {
"mcp-aichat": {
"command": "uvx",
"args": [
"mcp-aichat"
],
"env": {
"ACEDATACLOUD_API_TOKEN": "YOUR_ACEDATACLOUD_API_TOKEN_HERE"
}
}
}
}
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
MCP Aichat is categorized under Conversational AI and uses a local stdio subprocess. Twelvelabs MCP Server belongs to Conversational AI and uses a local stdio subprocess. Pick MCP Aichat 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.
MCP Aichat has no declared pricing — check the project's own site. 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 mcp-aichat and twelvelabs-mcp-server as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, MCP Aichat has a quality signal of 51/100 (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.