JSONPath Extractor Connector for AI agents.
3 live capabilities
Extract precise data from complex JSON structures
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Why people use JSONPath Extractor
Stop manual JSON parsing with JSONPath Extractor
With this MCP, that manual grind disappears. Your agent uses precise paths to reach into the data and pull out exactly what you asked for. You get the specific value you need, instantly, without the clutter.
What Vinkius changes
You stop feeding your agent massive blobs of text and start giving it precise instructions to find data.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Debugging API responses
An engineer gets a massive, messy JSON response from a new endpoint and needs to find one specific nested status code.
- Real-world use case 02
Automated data extraction
A data analyst needs to pull all user email addresses from a large collection of nested user profiles.
- Real-world use case 03
Validating config files
A DevOps engineer uses the capability to verify that a specific configuration flag exists in a complex deployment manifest.
Complete set · 3capabilities
The complete JSONPath Extractor capability set.
These are the exact actions your AI can choose when you ask it to work with JSONPath Extractor.
01—03
3 capabilities in this set.
Part of 3 available through JSONPath Extractor.
- 01 Capability
Evaluate path
Extracts the actual data from a JSON object using a specific path. It's the primary way your agent gets the information it needs.
- 02 Capability
Get path metadata
Returns details about the structure and complexity of the JSON relative to a path. It helps your agent understand the data layout.
- 03 Capability
Validate expression syntax
Checks if a JSONPath expression is written correctly. This prevents your agent from running broken queries against your data.
Set up in minutes
One URL. Then ask JSONPath Extractor to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use JSONPath Extractor 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_zma3LEQE0n7v56WG3ePaZ72SrEvmDmMoo9xTPauo/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 JSONPath Extractor, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable JSONPath Extractor for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_zma3LEQE0n7v56WG3ePaZ72SrEvmDmMoo9xTPauo/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 JSONPath Extractor URL.
- Step 03
Save and start
Save the connection and enable JSONPath Extractor in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"jsonpath-extractor": {
"url": "https://edge.vinkius.com/vk_preview_zma3LEQE0n7v56WG3ePaZ72SrEvmDmMoo9xTPauo/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 JSONPath Extractor
Open Agent mode in chat and ask: "Using JSONPath Extractor, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"jsonpath-extractor": {
"url": "https://edge.vinkius.com/vk_preview_zma3LEQE0n7v56WG3ePaZ72SrEvmDmMoo9xTPauo/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 JSONPath Extractor
Ask Copilot: "Using JSONPath Extractor, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"jsonpath-extractor": {
"url": "https://edge.vinkius.com/vk_preview_zma3LEQE0n7v56WG3ePaZ72SrEvmDmMoo9xTPauo/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 JSONPath Extractor
Open Cascade and ask: "Using JSONPath Extractor, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"jsonpath-extractor": {
"url": "https://edge.vinkius.com/vk_preview_zma3LEQE0n7v56WG3ePaZ72SrEvmDmMoo9xTPauo/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 JSONPath Extractor
Ask Cline: "Using JSONPath Extractor, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add jsonpath-extractor --transport http "https://edge.vinkius.com/vk_preview_zma3LEQE0n7v56WG3ePaZ72SrEvmDmMoo9xTPauo/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 JSONPath Extractor
Ask Claude: "Using JSONPath Extractor, show me...". 3 tools are ready
Where the request belongs
Work JSONPath Extractor can move forward.
This is for developers and data engineers who are tired of manually parsing JSON or writing custom scripts just to extract a few fields from an API response.
Backend Engineer
Quickly validates API response structures during testing or debugging sessions.
Data Scientist
Extracts specific features from large JSON datasets for analysis without writing heavy Python scripts.
DevOps Engineer
Parses configuration files or log outputs to find specific error codes or status flags.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Apple App Store
Manage your iOS apps and TestFlight builds with Apple App Store Connect. track reviews, versions, and sales via AI.
Zapier
Monitor automated workflows, audit app connections, and search for Zap templates on Zapier. the leader in AI orchestration.
X Ads (Twitter)
Connect your X Ads account to any AI agent. audit campaigns, analyze line item performance, and pull engagement reports through natural conversation.
Box
Store, share, and collaborate on files securely with enterprise-grade cloud content management and governance controls.
Bring your own AI
Change the model, client or framework. Keep JSONPath Extractor 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 JSONPath Extractor.
The practical details behind the request, access and result.
How can I use JSONPath Extractor to find data in my AI chat?
You simply provide the JSON data and the path you want to find to your AI client. The MCP handles the heavy lifting of navigating the structure and returning the result.
Will this MCP help me save context window space in Claude or Cursor?
Yes. Instead of feeding the entire JSON object into the chat, you only pull the specific pieces of information you need, which keeps your conversation focused and efficient.
Can I check if my JSONPath expression is right before I run it?
Absolutely. You can use the validation capability to verify your path logic is correct before you actually attempt to extract any data.
Does this work with very large and deeply nested JSON files?
Yes, that is exactly what it is built for. It can navigate through complex, multi-level hierarchies to find specific values without getting lost.
Is it possible to see how a JSON object is structured using this MCP?
Yes, you can use the metadata capability to inspect the depth and complexity of the object relative to a specific path.
How do I verify if my JSONPath is correct?
You can use the validate_expression_syntax capability to check the syntax of your expression without needing to provide a JSON object.
Can I extract multiple values at once?
Yes, using evaluate_path with wildcards or slice notation will return an array of all matching elements found in the JSON object.
How can I check the nesting level of a specific path?
The get_path_metadata capability provides the depth and whether the path terminates at a leaf node or a container.
One connection away
Give your agent a direct line to JSONPath Extractor.
Connect JSONPath Extractor once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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