Twelvelabs MCP Server vs Upfirst
A side-by-side look at the Twelvelabs MCP Server and Upfirst MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Twelvelabs MCP Server for conversational ai work as a local process; choose Upfirst 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 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.
Choose Upfirst when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a remote HTTP/SSE transport.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 53/100 · Good | 50/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Remote HTTP/SSE |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | ELEVENLABS_API_KEY | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | — |
| Directory activity | 0 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 25 | Not listed |
| Full listing | View Twelvelabs MCP Server | View Upfirst |
Tools & capabilities
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
Upfirst tools
No tool names declared yet. Check the project README from 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.
Twelvelabs MCP Server
{
"mcpServers": {
"twelvelabs-mcp-server": {
"command": "npx",
"args": [
"-y",
"twelvelabs-mcp-server"
],
"env": {
"ELEVENLABS_API_KEY": "YOUR_ELEVENLABS_API_KEY_HERE"
}
}
}
}
Upfirst
{
"mcpServers": {
"upfirst": {
"url": "https://mcp.upfirst.ai"
}
}
}
Frequently asked questions
Twelvelabs MCP Server is categorized under Conversational AI and uses a local stdio subprocess. Upfirst belongs to Conversational AI and uses a remote HTTP/SSE transport. Pick Twelvelabs MCP Server for conversational ai work and Upfirst 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.
Twelvelabs MCP Server has no declared pricing — check the project's own site. Upfirst 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 twelvelabs-mcp-server and upfirst as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Twelvelabs MCP Server has a quality signal of 53/100 (Good) with 0 views, 0 installs and 0 GitHub stars. Upfirst has 50/100 (Good) with 1 views, 0 installs and 0 GitHub stars.