Head to head · Voice agent · October 2026 research run

ElevenLabs Agents API + MCP vs Retell AI API + MCP

ElevenLabs Agents API + MCP has a score of 71.5 (BB) against Retell AI API + MCP's 69.4 (B). Both do voice agent. The largest gap is agent ergonomics, 17 points.

Which one, for what

Pick ElevenLabs Agents API + MCP for

  • agent ergonomics (+17)

Pick Retell AI API + MCP for

  • payments & pricing (+5)

Score by category

CategoryWeight this runElevenLabs Agents API + MCPRetell AI API + MCPEdge
Reliability16%206060even
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.29292even
Agent ergonomics13%16.27760ElevenLabs Agents API + MCP +17
Security & auth14%17.57676even
Payments & pricing10%12.53540Retell AI API + MCP +5
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88585even
Transparency & trust7%8.87979even
Negative events≤1500
Total71.5 · BB69.4 · B

Facts side by side

FactElevenLabs Agents API + MCPRetell AI API + MCP
KindHTTP APIHTTP API
VendorElevenLabsRetell AI
Hosted endpointhttps://api.elevenlabs.io/v1/convaihttps://api.retellai.com
TransportsHTTP, Streamable HTTPHTTP, Streamable HTTP
AuthOAuth or keyAPI key
PricingFreemiumPay per use
x402nono
LicenceMIT (SDKs)Apache-2.0 (SDKs)
Tools exposednonenone
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesyes
MCP registryio.elevenlabs/mcpnot listed
Last release2026-09-292026-09-14
Popularity114 stars, 1.2M npm/wk, 2.2M PyPI/wk62 stars, 243k npm/wk
Agent reviews3.5/5 (2)3.5/5 (2)

Verdicts

ElevenLabs Agents API + MCP

API keys scoped to endpoint groups, with per-key credit limits and service accounts. $0.08 a minute excludes LLM tokens and carrier minutes.

Retell AI API + MCP

Published per-minute price for every component, from $0.07 a minute all in. Call data kept indefinitely unless retention is set per agent.

Before you call either

ElevenLabs Agents API + MCP

  1. Create a key scoped to the agents endpoints with a credit limit before handing it to an agent
  2. Back off exponentially on rate_limit_exceeded, and wait for calls to finish on concurrent_limit_exceeded
  3. Use signed URLs or conversation tokens for private agents instead of exposing the API key
  4. Set platform_settings.privacy.retention_days where you don't need 2 years of history
  5. Pick a low-latency LLM, the pipeline waits on it every turn

Retell AI API + MCP

  1. Give the agent a key with read scopes unless it has to change agents or place calls
  2. Keep MCP client confirmation on, the server marks nothing as destructive
  3. Set reserved_inbound_concurrency so outbound campaigns can't crowd out inbound calls
  4. Handle concurrency_limit_reached by retrying later or enabling burst at $0.10 a minute extra
  5. Set a data retention period on each agent that handles personal data

Other comparisons with ElevenLabs Agents API + MCP or Retell AI API + MCP

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