Streaming Chunk Assembler Connector for AI agents.
3 live capabilities
Reassemble fragmented LLM streaming data into valid JSON
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Why people use Streaming Chunk Assembler
Fix broken LLM streaming with Streaming Chunk Assembler
This MCP changes that by acting as a deterministic buffer. It tracks the state of every character, so you stop dealing with broken fragments and start working with complete, validated data.
What Vinkius changes
That it turns unpredictable streaming fragments into reliable, valid data structures.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Fixing broken JSON in real-time agents
An agent tries to parse a capability call while the LLM is still typing, causing a crash.
- Real-world use case 02
Building reliable streaming dashboards
A developer needs to show live updates from an LLM.
- Real-world use case 03
Automating structured data extraction
An agent extracts info from a long document.
Complete set · 3capabilities
The complete Streaming Chunk Assembler capability set.
These are the exact actions your AI can choose when you ask it to work with Streaming Chunk Assembler.
01—03
3 capabilities in this set.
Part of 3 available through Streaming Chunk Assembler.
- 01 Capability
Append chunk
Adds a new piece of data to the current stream. It updates the internal state to keep the assembly on track.
- 02 Capability
Finalize stream
Closes the stream and runs a final validation. It ensures the resulting text or JSON is perfectly formed.
- 03 Capability
Get current status
Checks how much of the stream has been processed. It lets you see the progress without changing the data.
Set up in minutes
One URL. Then ask Streaming Chunk Assembler to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Streaming Chunk Assembler from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_f6gZFvu2FnL3VPoAuIndMmUUicixpTHZR25bwYOW/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Streaming Chunk Assembler, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Streaming Chunk Assembler for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_f6gZFvu2FnL3VPoAuIndMmUUicixpTHZR25bwYOW/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Streaming Chunk Assembler URL.
- Step 03
Save and start
Save the connection and enable Streaming Chunk Assembler in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"streaming-chunk-assembler": {
"url": "https://edge.vinkius.com/vk_preview_f6gZFvu2FnL3VPoAuIndMmUUicixpTHZR25bwYOW/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Streaming Chunk Assembler
Open Agent mode in chat and ask: "Using Streaming Chunk Assembler, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"streaming-chunk-assembler": {
"url": "https://edge.vinkius.com/vk_preview_f6gZFvu2FnL3VPoAuIndMmUUicixpTHZR25bwYOW/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Streaming Chunk Assembler
Ask Copilot: "Using Streaming Chunk Assembler, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"streaming-chunk-assembler": {
"url": "https://edge.vinkius.com/vk_preview_f6gZFvu2FnL3VPoAuIndMmUUicixpTHZR25bwYOW/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Streaming Chunk Assembler
Open Cascade and ask: "Using Streaming Chunk Assembler, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"streaming-chunk-assembler": {
"url": "https://edge.vinkius.com/vk_preview_f6gZFvu2FnL3VPoAuIndMmUUicixpTHZR25bwYOW/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Streaming Chunk Assembler
Ask Cline: "Using Streaming Chunk Assembler, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add streaming-chunk-assembler --transport http "https://edge.vinkius.com/vk_preview_f6gZFvu2FnL3VPoAuIndMmUUicixpTHZR25bwYOW/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Streaming Chunk Assembler
Ask Claude: "Using Streaming Chunk Assembler, show me...". 3 tools are ready
Where the request belongs
Work Streaming Chunk Assembler can move forward.
This is for developers and AI engineers building real-time applications where data integrity is non-negotiable.
AI Engineer
Building agentic workflows that rely on structured JSON outputs from streaming models.
Backend Developer
Handling real-time data pipelines where LLM responses need to be parsed immediately.
Data Scientist
Processing large-scale streaming inferences that require strict structural validation.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Bring your own AI
Change the model, client or framework. Keep Streaming Chunk Assembler connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Streaming Chunk Assembler.
The practical details behind the request, access and result.
How does Streaming Chunk Assembler handle broken JSON?
It uses a state-machine to track characters as they arrive, ensuring the final object is only released once the syntax is structurally complete and valid.
Can I use Streaming Chunk Assembler with any AI client?
Yes, as long as your client is MCP-compatible, like Claude, Cursor, or Windsurf, you can use this to manage your data streams.
Does Streaming Chunk Assembler work for plain text too?
Yes. While it's great for JSON, it also manages the assembly of plain text fragments into a single, continuous string.
How do I know when my data is ready to be used?
You can monitor the progress or simply call the finalization capability to close the stream and receive the fully assembled, validated content.
Why should I use this instead of a standard string buffer?
Standard buffers don't understand syntax. This MCP tracks the actual structure of JSON and text, preventing errors caused by partial or out-of-order data.
How does the assembler handle missing chunks?
The engine tracks sequence numbers for every stream. If a gap is detected, the missing sequence numbers are recorded and returned in the response.
Can I validate if a JSON object is complete?
Yes. By using finalize_stream, the engine performs a character-level check for balanced braces and brackets to ensure the JSON is structurally sound.
How do I check the progress of a stream?
You can use the get_current_status capability with the specific streamId to retrieve the current buffer and assembly state.
One connection away
Give your agent a direct line to Streaming Chunk Assembler.
Connect Streaming Chunk Assembler once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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