How to make livekit access externel mcp server

Thanks for reaching out, Joshua. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

HTTP(S) (remote MCP)

Thanks — you're asking how to connect LiveKit to a remote MCP server over HTTP(S). I can give a precise code example and steps—quick clarifying question first: Which environment are you using? • Python LiveKit Agents (code example), or • LiveKit Agent Builder UI? Also let me know: • Do you need to send an auth header (Bearer token)? • Will you connect to a single MCP server or multiple? Answer these and I’ll provide the exact setup, sample code, and notes on allowed tools and where to set

mcp_servers

. , with interactive elements

why agent crash when data is big

Thanks — I’m following up about the agent crashing when handling large data. Quick clarifying questions to diagnose this: • What kind of data is large? (LLM context/text, audio file/stream, MCP tool results, RPC payloads, etc.) • Approximate size (MB or token count) when the crash happens. • Where is the agent running? (self‑hosted VM/container, cloud, GPU/CPU) • Any error message or logs you see (process killed, out of memory, REQUEST_PAYLOAD_TOO_LARGE, stack trace)? • Are you connecting to a remote MCP over HTTPS for this flow, or is MCP unrelated to the crash? What I can suggest immediately: • RPC payloads have a 15 KB limit — exceeding that causes REQUEST/RESPONSE_PAYLOAD_TOO_LARGE errors. • Large LLM contexts or model allocations can exhaust memory (reduce context size, use smaller models/quantization, or increase RAM/GPU memory). • Sessions consume memory (WebRTC, STT/TT S buffers); high concurrency needs more CPU/RAM — LiveKit recommends ~4 cores + 8 GB per agent for typical voice workloads. • Tune buffers/queues (e.g., increase

queue_size_ms

for audio) to avoid capture/queue overflows. • Monitor memory and set higher limits or scale horizontally if the process is being killed by the system. If you share the answers to the questions above and a short copy of the crash log, I’ll provide targeted steps (config flags, code/config examples, and which limits to raise). Sources: Why is my Agent insights data missing? | LiveKit | Why is my Agent insights data missing? | LiveKit | Voice Agent Architecture: STT, LLM, and TTS Pipelines Explained | LiveKit | Self-hosted deployments | LiveKit Documentation | docs/backend/SYCL.md, with interactive elements

its still not deploying. is it because the project is free subs

Thanks — I’m replying about your deployment failures and whether the free plan is the cause. Short answer: deployment is supported on the free Build plan, so being on the free subscription alone should not block deployments. The free Build plan includes 1 agent deployment and 1,000 agent session minutes per month, but you can be blocked if you’ve exceeded resource quotas or hit other errors. Please provide: • The exact deployment error message or logs you see. • Whether you already have an active agent deployment on the free plan. • Any quota/usage warnings shown in your dashboard. • Whether the agent crash with large data happens during deployment or only at runtime. What to check right away: • Dashboard usage/quota to confirm you haven’t exceeded monthly limits. • Deployment logs for messages like insufficient resources, config errors, or API key/permission failures. • Agent logs for OOM, REQUEST_PAYLOAD_TOO_LARGE, or process-killed messages. • Your agent code for large payloads (RPC >15 KB) or very large LLM context/tool results — truncate with a

tool_result_resolver

if needed. Share the deployment error/log snippet and I’ll give exact next steps (which log lines to look at, config changes, or quota actions). Sources: Model Context Protocol (MCP) | LiveKit Documentation | Pricing | LiveKit | LiveKit Platform | Build, run, and observe voice AI agents | LiveKit | https://livekit.com/pricing.md| | Agents on LiveKit Cloud | Deploy voice AI on global infrastructure | LiveKi..., with interactive elements

=> [internal] load remote build context 1.2s => copy /context / 0.0s => resolve image config for docker-image://docker.io/docker/dockerfile:1 2.8s => docker-image://docker.io/docker/dockerfile:1@sha256:2780b5c3bab67f1f76c781860de469442999ed1a0d799 0.9s => => resolve docker.io/docker/dockerfile:1@sha256:2780b5c3bab67f1f76c781860de469442999ed1a0d7992a5e 0.0s => => sha256:bcb5d2ab7af67a669c932851c8bb8a26895dda6258900edfd7429d57bfd3592f 14.11MB / 14.11MB 0.2s => => extracting sha256:bcb5d2ab7af67a669c932851c8bb8a26895dda6258900edfd7429d57bfd3592f 0.7s => [internal] load metadata for docker.io/library/node:22-slim 2.8s => [base 1/3] FROM docker.io/library/node:22-slim@sha256:d415caac2f1f77b98caaf9415c5f807e14bc8d7bdea 0.0s => => resolve docker.io/library/node:22-slim@sha256:d415caac2f1f77b98caaf9415c5f807e14bc8d7bdea62561 0.0s => CACHED [base 2/3] RUN apt-get update -qq && apt-get install --no-install-recommends -y ca-certifi 0.0s => CACHED [base 3/3] RUN npm install -g pnpm@10 0.0s => CACHED [stage-2 1/3] RUN adduser --disabled-password --gecos "" --home "/app" --s 0.0s => CACHED [stage-2 2/3] WORKDIR /app 0.0s => CACHED [build 1/7] WORKDIR /app 0.0s => CACHED [build 2/7] COPY package.json pnpm-lock.yaml ./ 0.0s => CACHED [build 3/7] RUN pnpm install --frozen-lockfile 0.0s => CACHED [build 4/7] COPY . . 0.0s => CACHED [build 5/7] RUN pnpm build 0.0s => CACHED [build 6/7] RUN HOME=/app pnpm download-files 0.0s => CACHED [build 7/7] RUN pnpm prune --prod 0.0s => [stage-2 3/3] COPY --from=build --chown=appuser:appuser /app /app 3.6s => => sha256:82dd35b9bc5de27ee8c44b2792d03cd863fe4c2dbb82744123aa72defdf79564 3.31kB / 3.31kB 0.1s => => sha256:d0513e5eafd994e4de548fc3a33609867d3388add5f07027e59d8ebdc6e4d0af 49.84MB / 49.84MB 3.4s => => sha256:bba7366a523c01a6c2eef57d26db45d83d0a97c45ac42b8bbb0c13139e681840 446B / 446B 0.3s => => sha256:ff86ea2e5edce334d19a34fbc65d1a511aa1fc823dba1110422f991aa56b44d4 28.24MB / 28.24MB 2.3s => exporting to image 8.7s => => exporting layers 8.7s => => exporting manifest sha256:c11c92bd31677edf6a290437cb277eff83c8a5c6a41c1a6912bcae5636b2ce52 0.0s => => exporting config sha256:6f4798b1c8fa67569cc26cf784fc96f1c1a6521b41fd712a8286d296ff4cd294 0.0s => exporting cache to registry 1.1s => => preparing build cache for export 0.4s => => sending cache export 0.7s => => writing layer sha256:2c1ce468d9f3d941396801f6e3afc8921466650dd05430fe644cd3537713d27f 0.1s => => writing layer sha256:142fed4dffbaaabef71e2778735dd89ca31f63b42864333d02e9ccbffb86209a 0.1s => => writing layer sha256:0ff41efc38c17914e128265fe0f0041933ed127fc3ce06aa9c46136a06a2e098 0.1s => => writing layer sha256:31a93ac0e568592f55f4fe500d2b9b4f2a102ba444d62067e0b9eb57407e6cdb 0.0s => => writing layer sha256:431384fa085669eaa9022d4bd4a3ac9ab0261651225d3ea079eb9b16ba802ace 0.0s => => writing layer sha256:539f12fec8ec9c8e1eedfae55c022632384375f1c26e7cbdcb9f8a10df75a6d6 0.0s => => writing layer sha256:6b88a857d8e7c81acf306fd3c45f7eb31f9907d66eda647764bee6c270f589fc 0.0s => => writing layer sha256:744c3d07283fa7d748d9715f2d7ec9090c8c4245e5dc232db4dcbc1aa9c6a926 0.0s => => writing layer sha256:82dd35b9bc5de27ee8c44b2792d03cd863fe4c2dbb82744123aa72defdf79564 0.0s => => writing layer sha256:8605ae4b9339537f06e3b7464f993530202daa364c711bec4affa47c75e90559 0.0s => => writing layer sha256:a3805f9d39ba3ac46e288c162dc4062e6506dff02219e132de0e274a34ba8ab2 0.0s => => writing layer sha256:b6f6c234e245b7523423c89b60432248f616c15bedde61c5c44155ea6351d9b4 0.0s => => writing layer sha256:bba7366a523c01a6c2eef57d26db45d83d0a97c45ac42b8bbb0c13139e681840 0.0s => => writing layer sha256:bc9c7e2d44da1a6bb3b46a460a9f2d3738380941590b00bcb3599e0537e0be6a 0.0s => => writing layer sha256:c1784f0a7d4311e2f6b3079e383b155ccba8045ebc2ce9748d66ce78d89c2933 0.0s => => writing layer sha256:d0513e5eafd994e4de548fc3a33609867d3388add5f07027e59d8ebdc6e4d0af 0.0s => => writing layer sha256:e010fd94a761a4e0a3992623b443d6e21cbf87855ee4ae02364e9387ac804ece 0.0s => => writing layer sha256:e9e164e67fd5972caab05898b6f4448db6f3241a867ed7bdb18b5da00b28df7b 0.0s => => writing layer sha256:ff86ea2e5edce334d19a34fbc65d1a511aa1fc823dba1110422f991aa56b44d4 0.0s => => writing config sha256:02a76a456f7b49e03f1463c49f315e217d6401bc2f73e7373c490758b0a3cd28 0.3s => => writing cache image manifest sha256:01b3dce318e3bbe2686ceb6b7bffad6beac3c1137fb0e39f393a34615e 0.2s

Thanks — I’m looking at the build output you pasted and will help troubleshoot deployment failures. Short answers first: • The Build plan supports deployments, so the free subscription itself usually does not block deployments unless you’ve exceeded quotas. • Your logs show a successful image build/export — the failure is likely occurring after the image build (push, registry access, or runtime start), or due to resource/quota or runtime crashes (OOM, payload limits). Please check these in order and share any errors you find: 1. Registry & image availability ◦ Confirm the image was pushed to the registry your deployment expects and is reachable from the LiveKit deployment environment. ◦ If you use a private registry, ensure credentials are configured where LiveKit pulls the image. 1. Deployment logs and UI ◦ Open the deployment logs or CLI output for the step after the build (image push, deploy start, container start) and paste any error lines. ◦ Check the LiveKit dashboard for deployment errors or quota warnings. 1. Credentials & config ◦ Verify agent API key/secret and any environment variables (including MCP URL and auth headers) are set in the deployment configuration. ◦ Ensure

mcp_servers

is correctly configured for HTTP(S) and any auth headers are present. 1. Runtime failures (if container starts then dies) ◦ Inspect agent/server logs for OOM, process killed,

REQUEST_PAYLOAD_TOO_LARGE

/

RESPONSE_PAYLOAD_TOO_LARGE

, or stack traces. ◦ If your agent handles large data, implement truncation (e.g.,

tool_result_resolver

) or reduce LLM context/tool result sizes to avoid memory/payload limits. 1. Quotas & resources ◦ Confirm you haven’t used the free plan’s agent deployment slot or exceeded the 1,000 session minutes or inference credits. ◦ If your agent requires more memory/CPU than default, increase resources or scale horizontally. If you paste: • The deployment error lines from the UI/CLI after the build (not the build output), and • Any container/agent start logs showing why the process exited, I’ll pinpoint the cause and give exact fixes (registry auth steps, env var examples, memory flags, or config snippets). , with interactive elements

how many regions in livekit

By regions for agent deployment on LiveKit Cloud, there are currently three supported regions: us-east (Virginia, USA), eu-central (Frankfurt, Germany), and ap-south (Mumbai, India). LiveKit also operates a broader global edge network across many locations (US, Europe, Asia, Australia, Brazil, Middle East, Africa, etc.), and more regions are being added — see the agent deployment regions docs for the latest list: https://docs.livekit.io/deploy/admin/regions/agent-deployment/ Sources: Agents on LiveKit Cloud | Deploy voice AI on global infrastructure | LiveKi... | Build voice, video, and physical AI | LiveKit, with interactive elements

what is the best if in ph

You're likely asking which LiveKit region is best if you're in the Philippines. Recommendation: • Use ap-south (Mumbai, India) — it’s the nearest LiveKit Cloud region and will typically give the lowest latency among the currently supported regions (us-east, eu-central, ap-south). If you need even lower latency: • Consider self‑hosting in a closer cloud region (e.g., Singapore) or a nearby provider region if your traffic/requirements demand it. Tip: • Check your dashboard when creating the deployment to confirm region selection and run a quick ping/test from your client to compare latency., with interactive elements

Error connecting to LiveKit WebSocket (body=null, retryable=true)

I’m responding to your “Error connecting to LiveKit WebSocket (body=null, retryable=true)” message. Quick checks to run now: • Verify the LiveKit server URL is correct and uses wss:// (or https:// for SDKs that upgrade). • Confirm your JWT token is valid (correct API key/secret, not expired) and client clock isn’t skewed. • Run the LiveKit Connection Test utility to check WebSocket/TURN reachability: https://kb.livekit.io/articles/3972989092-diagnosing-connection-errors-with-connectionchecker • Check network/firewall: allow TCP 443 (and 7880/7881) and UDP 7882, or force TURN relay if direct connectivity is blocked: https://kb.livekit.io/articles/1724892785-establishing-media-connection-firewall-troubleshooting • Inspect client and server logs for more detail (HTTP status, 401/403, TLS errors, or connection refused). Please paste: • The exact server URL you’re connecting to (sanitized if needed), • The client-side SDK error stack or server log lines around the failure, • Whether you see a 401/403 or other HTTP status, and I’ll give targeted steps (token examples, TLS checks, or config changes). Sources: Troubleshooting 401 Unauthorized and Token Errors | LiveKit | Troubleshooting 401 Unauthorized and Token Errors | LiveKit | Diagnosing Connection Errors with Connection Test Utility | Firewall Tips | Running LiveKit on AWS | LiveKit, with interactive elements

Thanks — I’ll help debug the WebSocket issue for your URL: wss://kiosk-y8v9qrlx.livekit.cloud. Please check and share the following so I can pinpoint the cause: 1. JWT/token • Are you using a server-generated room token or an API key/secret JWT? • Paste (sanitized) the token payload expiry (exp) or tell me if it’s expired. 1. Client error logs • Full SDK error stack or console lines around the WebSocket failure. • Any HTTP status (401/403) shown in logs. 1. Server reachability • Can you successfully open the WebSocket from your machine? Run: ◦ curl -v -H "Origin: https://example.com" "wss://kiosk-y8v9qrlx.livekit.cloud" (or use a WebSocket client) and paste result. 1. Network / firewall • Are you behind a corporate NAT/firewall? Confirm outbound TCP 443 is allowed. If restrictive, try forcing TURN relay. 1. TLS / custom domain • Are you using the LiveKit cloud domain as-is, or a custom domain with custom certs? If custom, confirm the cert is valid (no hostname mismatch). 1. Clock sync • Confirm client/server clocks are in sync (JWT expiry depends on this). Quick checks you can run now: • Use the Connection Test utility: https://kb.livekit.io/articles/3972989092-diagnosing-connection-errors-with-connectionchecker • Try connecting with a freshly generated short-lived token and paste the client logs. Share the token expiry, client logs, and curl/WebSocket test output and I’ll give exact fixes (token generation example, TLS steps, or firewall/TURN settings). , with interactive elements