Use Vercel AI SDK Stream Parser with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Deterministic parser for Vercel AI SDK 3.0 Data Stream protocol chunks.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 3 capabilities
The complete Vercel AI SDK Stream Parser capability set.
These are the exact actions your AI can choose when you ask it to work with Vercel AI SDK Stream Parser.
01-03
3 capabilities in this set.
Part of 3 available through Vercel AI SDK Stream Parser.
- 01
Calculate stream metrics
Provides usage-related metadata for a given stream chunk
- 02
Parse raw stream
0 stream string. Deconstructs a raw, newline-delimited stream string into structured protocol events
- 03
Verify protocol integrity
Validates whether a given stream segment adheres to the V1/V3 protocol
Observed, not estimated
638ms average. Fast in production.
Vercel AI SDK Stream Parser is checked daily against the live service.
- Fastest day
- 504ms
- Slowest day
- 805ms
- 14-day trend
- Slowing+60%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Vercel AI SDK Stream Parser, so you can see the experience inside your AI.
It does not authenticate your account with Vercel AI SDK Stream Parser. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Vercel AI SDK Stream Parser Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_z0yjryUgcMiLQIpGzlCtO7Bwe63ECJaK0FtIjUEz/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Vercel AI SDK Stream Parser capabilities are ready to use.
{
"mcpServers": {
"vercel-ai-sdk-stream-parser-mcp": {
"url": "https://edge.vinkius.com/vk_preview_z0yjryUgcMiLQIpGzlCtO7Bwe63ECJaK0FtIjUEz/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Vercel AI SDK Stream Parser owners ask.
- 01
How does the parser handle capability calls within a stream?
The parse_raw_stream capability identifies lines starting with the '2:' prefix and uses native V8 JSON.parse to extract the structured payload, allowing you to retrieve function arguments directly.
- 02
Can I validate if a stream segment is structurally sound?
Yes, you can use verify_protocol_integrity to check for valid prefixes (0:, 2:, b:) and ensure that any JSON payloads within capability call chunks are well-formed.
- 03
How can I estimate the token usage of a stream chunk?
The calculate_stream_metrics capability provides an estimation of total tokens and event counts based on the character density and length of the provided raw stream string.
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