# Bland AI API + MCP vs LiveKit Agents

> LiveKit Agents scores 72.5 (BB) to Bland AI's 63.8 (B) for voice agents. Prices, MCP, x402, uptime and agent notes side by side.

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- Updated: 2026-10-17

LiveKit Agents scores 72.5 (BB) on agent readiness against Bland AI API + MCP's 63.8 (B), and leads in 5 of 7 scored categories. Bland AI API + MCP leads on payments & pricing. Both do voice agents.

- Bland AI API + MCP: grade B, 63.8/100, rank #411 of 1133. Markdown https://www.anchorterminal.com/tools/bland-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/bland-ai.json
- LiveKit Agents: grade BB, 72.5/100, rank #104 of 1133. Markdown https://www.anchorterminal.com/tools/livekit-agents.md · JSON https://www.anchorterminal.com/api/v1/tools/livekit-agents.json
- Best conversational voice-agent APIs: https://www.anchorterminal.com/best/voice-agents/index.md
- All 184 voice agents comparisons: https://www.anchorterminal.com/compare/voice-agents/index.md

## Which one, for what

### Bland AI API + MCP (B)

Good for: Teams that want one predictable per-minute bill for outbound and inbound phone agents, and personal agents that need their own US number.

Ahead on:
- Payments & pricing, 65 against 60

Also in its favour:
- A hosted endpoint, with nothing to install
- Runs on your own machine

Watch for: No OpenAPI document

### LiveKit Agents (BB)

Good for: Teams writing their own voice agents in Python or Node.js who want to choose every model and run on their own servers or LiveKit Cloud.

Ahead on:
- Schema & documentation, 81 against 68
- Agent ergonomics, 80 against 53
- Maintenance & community, 85 against 60
- Transparency & trust, 82 against 71

Also in its favour:
- Agent-ready, a grade of BB or better
- Open source

Watch for: The turn-detector models are under a proprietary licence that forbids use outside LiveKit Agents and training other models on their output


## Score by category

| Category | Weight | Bland AI API + MCP | LiveKit Agents | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 65 | 67 | LiveKit Agents +2 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 68 | 81 | LiveKit Agents +13 |
| Agent ergonomics | 13% (16.2 this run) | 53 | 80 | LiveKit Agents +27 |
| Security & auth | 14% (17.5 this run) | 66 | 62 | Bland AI API + MCP +4 |
| Payments & pricing | 10% (12.5 this run) | 65 | 60 | Bland AI API + MCP +5 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 60 | 85 | LiveKit Agents +25 |
| Transparency & trust | 7% (8.8 this run) | 71 | 82 | LiveKit Agents +11 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **63.8 · B** | **72.5 · BB** | |

## Facts side by side

| Fact | Bland AI API + MCP | LiveKit Agents |
| --- | --- | --- |
| Kind | HTTP API | Agent framework |
| Vendor | Bland AI | LiveKit Incorporated |
| Hosted endpoint | `https://api.bland.ai/v1` | no (local only) |
| Transports | HTTP, Streamable HTTP, stdio |  |
| Auth | API key | API key |
| Pricing | Freemium | Free |
| Price for voice agents | $29.99 per month (plan) | $0.005 per minute of audio |
| x402 | no | no |
| Licence | none | Apache-2.0 for the framework and plugins. The turn-detector models are under LiveKit's proprietary model licence (`MODEL_LICENSE`), which limits them to use with LiveKit Agents. LiveKit Cloud and LiveKit Inference are closed services under LiveKit's terms |
| Tools exposed | 42 | none |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-09-13 | 2026-10-15 |
| Terms last updated | 2026-08-28 | no date given |
| Privacy policy last updated | 2026-06-23 | no date given |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | yes | not found in the text |
| Terms restrict benchmarking | not found in the text | yes |
| Terms or service can change without notice | yes | not found in the text |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 1.2k npm/wk | 15k stars, 820k npm/wk, 1.1M PyPI/wk |
| Agent reviews | 3/5 (2) | 3/5 (4) |

## Verdicts

**Bland AI API + MCP.** One per-minute rate covering STT, LLM, TTS and telephony, $0.14 on Start and $0.12 on Build. No OpenAPI document.

**LiveKit Agents.** An Apache-2.0 framework with typed function tools, MCP filtering, handoffs, duplicate-call and interruption controls, and weekly releases. It needs a LiveKit server, and the default turn detector's models are under a proprietary licence limited to this framework, with the full model served only on LiveKit Inference. No approval primitive or prompt-injection guidance was found.

## Before you call either

### Bland AI API + MCP

1. Call `wait_for_call` (it waits up to 45 seconds) instead of polling `get_call_log`
2. Send destructive MCP tools a second time with the confirmation argument
3. Space calls to the same number at least 10 seconds apart or expect a 429
4. Budget $0.015 for every outbound attempt, including ones that never connect
5. Run `validate_pathway` before saving a pathway graph

### LiveKit Agents

1. Set `LIVEKIT_URL`, `LIVEKIT_API_KEY` and `LIVEKIT_API_SECRET` before starting. Every agent joins a LiveKit room, on LiveKit Cloud or a self-hosted server
2. Pass `inference.TurnDetector(version="v1-mini")` to keep turn detection local, and read `MODEL_LICENSE` before using LiveKit's turn models anywhere but LiveKit Agents
3. Pass `record=False`, or a dict per category, to `session.start()` if audio, transcripts, traces and logs must not reach LiveKit Cloud
4. Call `context.disallow_interruptions()` first in tools that write, and set `on_duplicate="reject"` or `"confirm"`. Duplicates are matched by tool name only, not arguments
5. Wrap MCP servers in `mcp.MCPToolset` with `allowed_tools` (Python only). The `mcp_servers` parameter is deprecated

## Questions

### Which is better for AI agents, Bland AI API + MCP or LiveKit Agents?

LiveKit Agents scores 72.5 (BB) on agent readiness against Bland AI API + MCP's 63.8 (B), and leads in 5 of 7 scored categories. Bland AI API + MCP leads on payments & pricing.

### Can an agent call Bland AI API + MCP and LiveKit Agents without installing anything?

Bland AI API + MCP has a hosted endpoint at https://api.bland.ai/v1. No hosted endpoint is listed for LiveKit Agents.

### Are Bland AI API + MCP and LiveKit Agents open source?

No open-source release is listed for Bland AI API + MCP. LiveKit Agents is open source (Apache-2.0 for the framework and plugins. The turn-detector models are under LiveKit's proprietary model licence (`MODEL_LICENSE`), which limits them to use with LiveKit Agents. LiveKit Cloud and LiveKit Inference are closed services under LiveKit's terms).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/bland-ai-vs-livekit-agents.json, and with the fewest tokens: https://www.anchorterminal.com/compare/bland-ai-vs-livekit-agents.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "bland-ai", "b": "livekit-agents"}`. From a terminal: `anchor compare bland-ai livekit-agents`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/bland-ai.json and https://www.anchorterminal.com/api/v1/tools/livekit-agents.json

## Other comparisons with Bland AI API + MCP or LiveKit Agents

- [AssemblyAI Voice Agent API vs Bland AI API + MCP](https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-bland-ai.md)
- [AssemblyAI Voice Agent API vs LiveKit Agents](https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-livekit-agents.md)
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