Fast XML Parser Connector for AI agents.
2 live capabilities
Parse legacy SOAP and XML data into clean JSON for your AI
Waiting for input…
Why people use Fast XML Parser
XML <-> JSON Converter for Handling Legacy SOAP Data
This Connector changes that by providing a deterministic bridge. You feed the raw XML into convert_xml_to_json, and it spits out a perfect JSON object. Your AI can then work with that data with 100% accuracy. You stop wasting time on manual cleanup and start getting actual results from your legacy data.
What Vinkius changes
You get a reliable way to feed legacy data into your AI without any hallucinations.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Reading a 2MB SOAP response from a bank
Instead of the AI failing to read the whole thing, use convert_xml_to_json to get a perfect JSON object first.
- Real-world use case 02
Sending a command to an old warehouse system
Have the AI write a JSON command, then use convert_json_to_xml to build the exact XML envelope the system requires.
- Real-world use case 03
Analyzing a complex RSS feed
Use convert_xml_to_json to turn the feed into a list of objects your AI can summarize without losing any metadata.
Complete set · 2capabilities
The complete Fast XML Parser capability set.
These are the exact actions your AI can choose when you ask it to work with Fast XML Parser.
01—02
2 capabilities in this set.
Part of 2 available through Fast XML Parser.
- 01 Capability
Convert json to xml
Converts a JSON object into a well-formed XML string. Use this to format AI-generated data for legacy system requests.
- 02 Capability
Convert xml to json
Turns a raw XML string into a deterministic JSON structure. It handles nested elements, attributes, and CDATA sections perfectly.
Set up in minutes
One URL. Then ask Fast XML Parser to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Fast XML Parser 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_GF46lZFzoMCgxdUs46qeKuOTsGqMxTGfhIntbG1b/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 Fast XML Parser, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Fast XML Parser for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_GF46lZFzoMCgxdUs46qeKuOTsGqMxTGfhIntbG1b/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 Fast XML Parser URL.
- Step 03
Save and start
Save the connection and enable Fast XML Parser in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"xml-json-converter": {
"url": "https://edge.vinkius.com/vk_preview_GF46lZFzoMCgxdUs46qeKuOTsGqMxTGfhIntbG1b/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 Fast XML Parser
Open Agent mode in chat and ask: "Using Fast XML Parser, help me...". 2 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"xml-json-converter": {
"url": "https://edge.vinkius.com/vk_preview_GF46lZFzoMCgxdUs46qeKuOTsGqMxTGfhIntbG1b/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 Fast XML Parser
Ask Copilot: "Using Fast XML Parser, help me...". 2 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"xml-json-converter": {
"url": "https://edge.vinkius.com/vk_preview_GF46lZFzoMCgxdUs46qeKuOTsGqMxTGfhIntbG1b/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 Fast XML Parser
Open Cascade and ask: "Using Fast XML Parser, help me...". 2 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"xml-json-converter": {
"url": "https://edge.vinkius.com/vk_preview_GF46lZFzoMCgxdUs46qeKuOTsGqMxTGfhIntbG1b/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 Fast XML Parser
Ask Cline: "Using Fast XML Parser, help me...". 2 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add xml-json-converter --transport http "https://edge.vinkius.com/vk_preview_GF46lZFzoMCgxdUs46qeKuOTsGqMxTGfhIntbG1b/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 Fast XML Parser
Ask Claude: "Using Fast XML Parser, show me...". 2 tools are ready
Where the request belongs
Work Fast XML Parser can move forward.
This is for the backend developer or data engineer who's tired of debugging hallucinated JSON from an AI that tried to read a 5MB SOAP response. It's for anyone stuck working with legacy enterprise APIs.
Backend Engineer
Converting legacy SOAP responses into JSON for a new frontend.
Data Analyst
Pulling data from old RSS feeds to feed into a custom AI dashboard.
Systems Integrator
Mapping old database exports to modern JSON formats for AI processing.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsHealth XML Export Parser
Parse massive Apple Health or Google Fit XML exports safely without blowing up your AI's context window. Extracts actionable health metrics instantly.
YAML/JSON Converter
Prevent DevOps YAML hallucination. Convert complex YAML files to JSON for safe AI processing, and back to perfect YAML.
OPML Podcast & RSS Parser
Turn standard OPML export files from your podcast app or RSS reader into clean JSON data. Let your AI analyze your subscriptions and become your personal content curator.
RSS Feed Parser
Turn any RSS 2.0 or Atom feed into clean, structured JSON. Extract titles, links, dates, authors, and full content from blogs, news sites, and podcasts. ready for your agent to process.
CSV <-> JSON Converter
Flawless data translation. Convert massive CSV files to JSON and back instantly without LLM hallucination or dropped quotes.
LLM XML Tag Parser
Extract and validate content within XML-style tags from LLM outputs.
Bring your own AI
Change the model, client or framework. Keep Fast XML Parser connected.
-
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 Fast XML Parser.
The practical details behind the request, access and result.
How does the XML <-> JSON Converter help with large files?
It parses massive XML payloads into JSON objects without the AI losing its place. This means you can process huge files without the AI truncating the data or hallucinating missing parts.
Can I use the XML <-> JSON Converter for SOAP requests?
Yes, it's perfect for that. You can have your agent create a JSON object and the Connector will turn it into a valid SOAP XML envelope for your legacy systems.
Will the XML <-> JSON Converter keep my XML attributes?
Yes, it's designed to be deterministic. It keeps 100% of your node attributes and values when converting to JSON, so no data gets lost in translation.
Is the XML <-> JSON Converter safe for sensitive data?
It runs locally within your environment. Your XML payloads don't get sent to an external conversion API, keeping your data secure.
What's the difference between this and just asking an AI to convert XML?
AI models often guess the structure of XML, which leads to errors. This Connector uses a dedicated parser to ensure the conversion is mathematically exact every time.
Does the XML <-> JSON Converter work with RSS feeds?
It handles RSS feeds easily. It turns the raw XML into a structured JSON format that your AI can then analyze or summarize much more effectively.
Does it retain XML attributes?
Yes! Every single attribute is perfectly translated.
Can it handle gigabytes of XML?
It is extremely fast, constrained only by Edge memory limits.
Does it support XML to JSON bidirectional?
Yes, it perfectly rebuilds XML from JSON payloads.
One connection away
Give your agent a direct line to Fast XML Parser.
Connect Fast XML Parser once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available