jmespath-query-executor Connector for AI agents.
3 live capabilities
Extract precise values from complex JSON datasets.
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Why people use jmespath-query-executor
Jmespath-query-executor solves the JSON inspection headache
With this MCP, you just tell your agent what you're looking for. It digs through the layers, finds the exact key, and hands it to you instantly.
What Vinkius changes
You get clean, filtered data without any manual parsing.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Parsing API Responses
An engineer needs one specific ID from a 5MB JSON response and asks their agent to find it using `execute_jmespath_query`.
- Real-world use case 02
Schema Verification
A developer uses `inspect_json_schema` to confirm that a new microservice is sending the correct top-level keys.
- Real-world use case 03
Automated Data Cleaning
An automation specialist uses `validate_query_syntax` to ensure their batch processing queries are error-free before deployment.
Complete set · 3capabilities
The complete jmespath-query-executor capability set.
These are the exact actions your AI can choose when you ask it to work with jmespath-query-executor.
01—03
3 capabilities in this set.
Part of 3 available through jmespath-query-executor.
- 01 Capability
Execute jmespath query
Runs a specific query against your JSON data to pull out exactly what you need.
- 02 Capability
Validate query syntax
Checks your query string for errors before you try to run it against a dataset.
- 03 Capability
Inspect json schema
Looks at the top level of your JSON structure so you know which keys are available.
Set up in minutes
One URL. Then ask jmespath-query-executor to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use jmespath-query-executor 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_6aXPbraQWAHtprq4O0Qtanxssza6E78IBBMaRWJX/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 jmespath-query-executor, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable jmespath-query-executor for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_6aXPbraQWAHtprq4O0Qtanxssza6E78IBBMaRWJX/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 jmespath-query-executor URL.
- Step 03
Save and start
Save the connection and enable jmespath-query-executor in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"jmespath-query-executor": {
"url": "https://edge.vinkius.com/vk_preview_6aXPbraQWAHtprq4O0Qtanxssza6E78IBBMaRWJX/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 jmespath-query-executor
Open Agent mode in chat and ask: "Using jmespath-query-executor, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"jmespath-query-executor": {
"url": "https://edge.vinkius.com/vk_preview_6aXPbraQWAHtprq4O0Qtanxssza6E78IBBMaRWJX/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 jmespath-query-executor
Ask Copilot: "Using jmespath-query-executor, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"jmespath-query-executor": {
"url": "https://edge.vinkius.com/vk_preview_6aXPbraQWAHtprq4O0Qtanxssza6E78IBBMaRWJX/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 jmespath-query-executor
Open Cascade and ask: "Using jmespath-query-executor, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"jmespath-query-executor": {
"url": "https://edge.vinkius.com/vk_preview_6aXPbraQWAHtprq4O0Qtanxssza6E78IBBMaRWJX/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 jmespath-query-executor
Ask Cline: "Using jmespath-query-executor, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add jmespath-query-executor --transport http "https://edge.vinkius.com/vk_preview_6aXPbraQWAHtprq4O0Qtanxssza6E78IBBMaRWJX/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 jmespath-query-executor
Ask Claude: "Using jmespath-query-executor, show me...". 3 tools are ready
Where the request belongs
Work jmespath-query-executor can move forward.
Data engineers and backend developers who are tired of manually inspecting massive JSON responses to find a single nested key.
Data Engineer
Automating the extraction of specific metrics from API logs.
Backend Developer
Verifying that payload structures match expected schemas during testing.
DevOps Engineer
Parsing configuration files or deployment manifests to extract version numbers.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsJSON Path Query Engine
Extract specific data from massive JSON payloads using JSONPath expressions.
JSON Schema Validator and Flattener
Strictly validate JSON against schemas and flatten nested structures using dot notation.
Dot-Notation Object Flattener
Convert deeply nested JSON objects into flat structures using dot-separated keys.
JSONBin.io
Store, manage, and retrieve JSON data effortlessly. Create bins, manage collections, and handle large datasets directly from your AI agent.
JSONPath Query Executor
Execute deterministic JSONPath queries against any JSON data.
URL Query String Deep Parser
Transforms flat URL query strings into deeply nested JSON objects and arrays.
Bring your own AI
Change the model, client or framework. Keep jmespath-query-executor 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 jmespath-query-executor.
The practical details behind the request, access and result.
How can I use jmespath-query-executor to find data in large files?
You can ask your agent to run a query against the file, and it will return only the matching pieces of information.
Is jmespath-query-executor safe for production environments?
Yes, because it uses a deterministic syntax instead of executing arbitrary code or scripts.
Can I check my queries before running them with jmespath-query-executor?
You can use the validation capability to ensure your query string is structurally sound before you attempt to execute it.
Does jmespath-query-executor work with any JSON structure?
It works with any valid JSON, from simple key-value pairs to deeply nested arrays and objects.
How do I see the structure of a new dataset using jmespath-query-executor?
You can ask your agent to inspect the top-level keys so you know exactly what you're working with.
What tokens are supported in the query string?
The engine supports three primary tokens: '.' for property access, '[]' for array flattening, and '*' for wildcards.
How can I verify if my query is valid before running it?
You can use the validate_query_syntax capability to check your string for structural validity.
Does this capability modify my original JSON data?
No, the engine treats the input JSON as a read-only structure and builds a new resulting structure without modifying the source.
One connection away
Give your agent a direct line to jmespath-query-executor.
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