Social Data
Twitch Clip Transcript MCP
Use Twitch Clip Transcript in your AI assistant to retrieve the available information. Explore supported inputs and use cases below.
Twitch Clip Transcript AI Prompts & Use Cases
After connecting this MCP tool to your AI assistant, you can ask the questions below. Replace bracketed placeholders with your own inputs and use the supported values in Arguments.
New to Nexscope MCP? Follow the connection guide, then use the prompts below. The Integration and Parameters & Response tabs contain the connection steps, call example, and technical reference.
1. Review Twitch Clip Transcript
Prompt: Retrieve Twitch Clip Transcript for [public URL]. Summarize only the information actually returned and preserve source links when available. Report private, restricted, missing or partial results explicitly; missing values are not zero.
2. Transcribe Longer Content Within An Approved Budget
Prompt: Use Twitch Clip Transcript for [public URL]. If the video exceeds the default transcription limit, explain the published duration limit and charging rule first. Enable the paid long-transcription option only after I approve the cost; stop if the duration is unsupported. If native captions are unavailable, enable the documented AI fallback only within that approved budget.
3. Use AI Transcription Only When Captions Are Missing
Prompt: Use Twitch Clip Transcript for [public URL]. Try the documented native-caption path first. Enable paid AI fallback only after I approve the charge and only when captions are unavailable. Distinguish generated transcription from native captions; leave paid long-transcription mode off unless separately approved.
4. Create A Brief From Returned Text
Prompt: Retrieve Twitch Clip Transcript for [public URL] and prepare a brief about [my research question] using only text present in the response. Cite the corresponding source links when returned, distinguish quotations from interpretation, and report insufficient text. Do not claim to have read linked pages or infer private information.
What You Need to Provide
Use only the documented public inputs. Private, restricted, missing and partial results remain distinct; missing metrics are not zero.
Check the current Nexscope price before running the request. Optional enrichment, downloads, transcription and additional pages can incur charges. These examples do not execute a request.
Step 1 · Connect
Connect Your AI Assistant
Connect a compatible MCP client to Nexscope, then select this tool from your assistant. Use the connection settings in your client to complete authentication.
POST https://api.nexscope.ai/mcp
MCP-Protocol-Version: 2025-11-25
Content-Type: application/jsonAuthentication
Use OAuth 2.1 Authorization Code with PKCE and the mcp:tools scope. API keys remain supported as a compatibility option.
Authorization: Bearer nk-xxxxxxxxxxxxxxxxxUsing an API key? Get your key from API Access and include it in the Authorization header shown above.
Call this MCP tool
social_twitch_clip_transcripthttps://api.nexscope.ai/mcptools/callInitialize an MCP 2025-11-25 Streamable HTTP session at https://api.nexscope.ai/mcp, then use tools/call.
{
"jsonrpc": "2.0",
"id": "social-twitch-clip-transcript-1",
"method": "tools/call",
"params": {
"name": "social_twitch_clip_transcript",
"arguments": {
"url": "https://clips.twitch.tv/WrongMagnificentTomatoCorgiDerp-C720OEMqocSPbrqA"
}
}
}MCP 2025-11-25 · Streamable HTTPProgress is delivered on the original POST SSE response. GET SSE carries notifications; reconnecting must query existing asynchronous work rather than submit again.
Arguments
| Name | Type | Required | Description |
|---|---|---|---|
url | string | required | Twitch clip URL Example: https://clips.twitch.tv/WrongMagnificentTomatoCorgiDerp-C720OEMqocSPbrqA |
allow_long_transcription | boolean | optional | Paid opt-in, enabled only by the literal query value 'true' (allow_long_transcription=true). Defaults to false when omitted; other values do not enable paid mode. By default, successful AI transcription of videos up to 120 seconds (two minutes, inclusive) costs a flat 1 credit per request. Over 120 seconds, videos cannot be AI-transcribed by default. Set allow_long_transcription=true to opt into paid AI with no fixed duration cap: ALL successful AI transcriptions in this mode cost 10 credits per started minute, including short videos: 10 * ceil(duration_seconds / 60). For example, 177 seconds costs 30 credits and an opted-in 60 seconds costs 10 credits. Empty AI results and errors cost 0 credits for AI transcription. This flag does not force AI and does not enable transcription or AI fallback by itself. Keep get_transcript=true or use_ai_as_fallback=true where required by the endpoint. Returned native captions still cost 1 credit on dedicated transcript routes, even for long videos with this flag; on detail routes they leave the base price unchanged. These routes remain synchronous. Allow at least 30 seconds on your client. Paid long transcription can exceed resource limits or timeouts, so successful transcription of long videos is not guaranteed. |
use_ai_as_fallback | boolean | optional | Use paid AI only when native captions are unavailable. Defaults to false. By default, successful AI transcription of videos up to 120 seconds (two minutes, inclusive) costs a flat 1 credit per request. Over 120 seconds, videos cannot be AI-transcribed by default. Set allow_long_transcription=true to opt into paid AI with no fixed duration cap: ALL successful AI transcriptions in this mode cost 10 credits per started minute, including short videos: 10 * ceil(duration_seconds / 60). For example, 177 seconds costs 30 credits and an opted-in 60 seconds costs 10 credits. Empty AI results and errors cost 0 credits for AI transcription. These routes remain synchronous. Allow at least 30 seconds on your client. Paid long transcription can exceed resource limits or timeouts, so successful transcription of long videos is not guaranteed. |
Response fields
Treat structuredContent as the programmatic API response payload.
| Name | Type | Required | Description |
|---|---|---|---|
code | integer | required | 0 means accepted or successful; nonzero is a platform error. |
cost | string | required | Elapsed milliseconds, never credits; -1 outside web requests. |
data | any | required | Data value used by this API operation. |
msg | string | null | required | Msg value used by this API operation. |
time | string | required | Server local time: yyyy-MM-dd HH:mm:ss. |
traceId | string | null | required | Trace id value used by this API operation. |
ts | string | required | Epoch milliseconds. |
Any of option 1 — requires platform, resourceStatus, data, usage
| Name | Type | Required | Description |
|---|---|---|---|
data | object | required | Data value used by this API operation. |
data.data | object | required | Data value used by this API operation. |
data.platform | string | required | Platform value used by this API operation. |
data.resourceStatus | string | required | Resource status value used by this API operation. |
data.usage | object | required | Usage value used by this API operation. |
Any of option 2
| Name | Type | Required | Description |
|---|---|---|---|
data | null | required | Data value used by this API operation. |
Workflow Guide
Workflow example, not a verified API response.
Your Goal
Retrieve Twitch Clip Transcript for [public URL]. Summarize only the information actually returned and preserve source links when available. Report private, restricted, missing or partial results explicitly; missing values are not zero.
Suggested Steps
Provide the documented public identifiers or search inputs. The assistant can then make the requested lookup and organize only the returned evidence. Missing or restricted results must be reported explicitly; no actual lookup or returned metrics are claimed here.
About this sample: Workflow example based on the published API document, not a live API response.
Published sample data is not available for this page. A format illustration or workflow guide is not a substitute for a published result.
View the MCP Request & Response Format
Examples
Workflow example, not a verified API response.
The JSON-RPC envelope below illustrates how the shown arguments and payload fit into MCP. It is not captured network traffic or proof of a successful call. Workflow-only examples do not include a result.
MCP Request
No verified MCP request example is available. Refer to Integration and the documented requirements before preparing a call.
MCP Response Format
This workflow does not claim an API result. No verified response example is available; refer to Parameters & Response for the documented response structure.