Elba MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Elba MCP Server list all my agents"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Early preview — This project is under active development. See the roadmap below for planned tools.
Why?
Building voice AI agents usually means clicking through a dashboard. With this MCP server, you can do it all from your editor:
Create agents with a prompt — describe what you want, your AI assistant builds it
Iterate fast — change system prompts, swap voices, test — all without leaving your IDE
Version control — agent configs live in your workflow, not trapped in a dashboard
Zero context switching — ask Claude or Cursor to manage your agents directly
Elba is a voice AI agent platform by Kolsetu. This MCP server is a thin client that translates MCP tool calls into Elba API requests — all business logic lives in the Elba platform.
Related MCP server: movoice-mcp
Quick Start
1. Get your integration token
Go to Elba Dashboard → Settings → Integrations → Copy your token.
2. Add to your MCP client
claude mcp add elba -- -e ELBA_INTEGRATION_TOKEN=your-token-here npx -y @kolsetu-opensource/elba-mcp-serverAdd to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"elba": {
"command": "npx",
"args": ["-y", "@kolsetu-opensource/elba-mcp-server"],
"env": {
"ELBA_INTEGRATION_TOKEN": "your-token-here"
}
}
}
}Add to .cursor/mcp.json in your project root:
{
"mcpServers": {
"elba": {
"command": "npx",
"args": ["-y", "@kolsetu-opensource/elba-mcp-server"],
"env": {
"ELBA_INTEGRATION_TOKEN": "your-token-here"
}
}
}
}Add to .vscode/settings.json:
{
"mcp": {
"servers": {
"elba": {
"command": "npx",
"args": ["-y", "@kolsetu-opensource/elba-mcp-server"],
"env": {
"ELBA_INTEGRATION_TOKEN": "your-token-here"
}
}
}
}
}Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"elba": {
"command": "npx",
"args": ["-y", "@kolsetu-opensource/elba-mcp-server"],
"env": {
"ELBA_INTEGRATION_TOKEN": "your-token-here"
}
}
}
}3. Start using it
Once connected, ask your AI assistant things like:
"List all my Elba agents"
"Create a new voice agent called 'Support Bot' that handles customer billing questions"
"What voices are available? Switch my agent to use a different voice"
"Update the system prompt for my agent to be more friendly"
Available Tools
Tool | Description |
| List all agents in your organization — returns ID, name, and status |
| Browse available voices — returns ID, name, description, and provider |
| Create or update a voice AI agent — matches by name or explicit ID |
Architecture
┌─────────────────┐ stdio ┌──────────────────┐ HTTPS ┌──────────────┐
│ MCP Client │◄──────────────►│ Elba MCP Server │◄────────────►│ Elba API │
│ (Claude, Cursor │ │ (this project) │ │ (backend) │
│ VS Code, etc.) │ │ Thin client │ │ │
└─────────────────┘ └──────────────────┘ └──────────────┘Thin client — no business logic here; the server translates MCP calls into API requests
Local execution — runs as a stdio child process, no network exposure
Org-scoped tokens — each integration token is limited to a single organization
Roadmap
Phase 1 — Core Agent Management ✅
Tool | Description | Status |
| List all agents in your organization | ✅ Done |
| Create or update a voice AI agent | ✅ Done |
| Browse available voices with descriptions | ✅ Done |
Phase 2 — Deploy & Test
Tool | Description | Status |
| Deploy agent as embeddable web widget | Planned |
| Trigger a test call to your agent | Planned |
| View recent call history and outcomes | Planned |
| Check organization credit balance | Planned |
Phase 3 — IVR & Telephony
Tool | Description | Status |
Workflow tools | IVR replacement, call routing | Future |
Phone number management | Twilio BYOC import, number assignment | Future |
Security
This project takes supply chain security seriously:
Measure | Status |
Static analysis on every push & PR | |
Dependency vulnerability scanning via Google OSV | |
Block PRs introducing known-vulnerable packages | |
Audit all outbound network calls in CI | |
Pinned Actions | All GitHub Actions pinned to full SHA commits |
npm Provenance | Published with npm provenance for verifiable builds |
Signed Commits | DCO sign-off required on all contributions |
Authentication
Log in to Elba
Go to Settings → Integrations
Generate or copy your integration token
Set it as
ELBA_INTEGRATION_TOKENin your MCP client config
Tokens are scoped to your organization — they can only access agents and data within your org.
Vulnerability Reporting
Do NOT open public issues for security vulnerabilities. See SECURITY.md for responsible disclosure via GitHub Security Advisories.
Development
# Clone the repo
git clone https://github.com/Kolsetu-Opensource/elba-mcp-server.git
cd elba-mcp-server
# Install dependencies
npm install
# Build
npm run build
# Run tests
npm test
# Type-check
npm run typecheck
# Lint
npm run lint
# Start in dev mode
npm run devRequires Node.js ≥ 20 (see .nvmrc).
Project Structure
src/
├── index.ts # CLI entry point
├── server.ts # MCP server init, tool registration
├── config.ts # Environment config
├── auth.ts # Token format validation
├── elba-client.ts # Elba API client
└── tools/
├── list-agents.ts
├── list-voices.ts
└── upsert-agent.ts
__tests__/ # Mirrors src/ structure (vitest)Troubleshooting
"ELBA_INTEGRATION_TOKEN environment variable is required"
Make sure you've set the token in your MCP client config. See Quick Start for examples.
"Invalid or expired integration token"
Your token may have been revoked or expired. Generate a new one from Elba Dashboard → Settings → Integrations.
Server not starting
Check you're running Node.js ≥ 20:
node --versionTry running directly:
ELBA_INTEGRATION_TOKEN=your-token npx @kolsetu-opensource/elba-mcp-serverCheck your MCP client logs for error messages
Still stuck?
Open a discussion for questions
File an issue for bugs
Contributing
Contributions are welcome! See CONTRIBUTING.md for guidelines.
Quick version:
# Make your changes, then:
npm run lint && npm run typecheck && npm test
npx changeset # describe your change
git commit -s # sign-off required (DCO)License
MIT — see LICENSE for details.
Available Tools
3 toolslist_agentsA
List all voice AI agents in your Elba organization. Returns each agent's ID, name, and status (active/inactive).
Inputs: no named parameters.
list_voicesA
List available voices for Elba voice AI agents. Returns voice ID, name, description, and provider. Use the voice ID as the "voice" parameter in upsert_agent.
Inputs: no named parameters.
upsert_agentA
Create or update a voice AI agent. If an agent with the given name exists, it will be updated. Otherwise, a new agent is created with sane defaults.
Inputs: name (required), system_prompt (required), voice, agent_id.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 3 tools
Each tool targets a distinct resource: list_agents for agents, list_voices for voices, upsert_agent for creating/updating agents. No functional overlap.
All tools use a consistent verb_noun pattern (list_agents, list_voices, upsert_agent) with clear, predictable naming.
Three tools is well-scoped for a voice AI agent management server, covering listing agents and voices, and creating/updating agents without unnecessary clutter.
The set covers the main lifecycle operations (list, create/update) but lacks a delete tool, which may be needed for full management. However, upsert covers creation and updates adequately.
Maintenance
Related MCP Connectors
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Real-time chat hub for AI agents — Claude Code, Cursor, Cline, Codex over MCP or REST.
Talk to your public-facing AI from any MCP client — Claude, ChatGPT, Cursor, Cline, Windsurf.
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