Qdrant Filter Builder Connector for AI agents.
3 live capabilities
Convert MongoDB-style filters into valid Qdrant JSON payloads.
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Why people use Qdrant Filter Builder
Qdrant Payload Filter Builder solves broken JSON syntax errors
With this MCP, that manual work disappears. You just provide the logic in a format you already know, and it handles the formatting perfectly. You get valid, executable payloads every single time.
What Vinkius changes
Get the Qdrant Filter Builder answer you need in the AI client you already use.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Building RAG pipelines
An engineer needs to filter vector results by metadata like price or category without writing custom JSON logic manually.
- Real-world use case 02
Automating database maintenance
A developer uses an agent to check if new query patterns are becoming too complex for the cluster using complexity analysis.
- Real-world use case 03
Testing query migrations
Moving from a document store to Qdrant becomes easier when you can reuse existing filter logic through this MCP.
Complete set · 3capabilities
The complete Qdrant Filter Builder capability set.
These are the exact actions your AI can choose when you ask it to work with Qdrant Filter Builder.
01—03
3 capabilities in this set.
Part of 3 available through Qdrant Filter Builder.
- 01 Capability
Analyze filter complexity
Checks how deep or heavy a filter is. This helps you avoid running expensive queries that slow down your cluster.
- 02 Capability
Generate qdrant filter
Turns your MongoDB-style JSON into a valid Qdrant payload. It handles all the structural translation for you.
- 03 Capability
Validate operator syntax
Makes sure the operators you are using are actually supported. This prevents runtime errors in your database.
Set up in minutes
One URL. Then ask Qdrant Filter Builder to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Qdrant Filter Builder 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_yJ6ttm69gh5muC3sBsQSMeP3EEQBACzsCJzGv3SC/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 Qdrant Filter Builder, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Qdrant Filter Builder for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_yJ6ttm69gh5muC3sBsQSMeP3EEQBACzsCJzGv3SC/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 Qdrant Filter Builder URL.
- Step 03
Save and start
Save the connection and enable Qdrant Filter Builder in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"qdrant-payload-filter-builder": {
"url": "https://edge.vinkius.com/vk_preview_yJ6ttm69gh5muC3sBsQSMeP3EEQBACzsCJzGv3SC/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 Qdrant Filter Builder
Open Agent mode in chat and ask: "Using Qdrant Filter Builder, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"qdrant-payload-filter-builder": {
"url": "https://edge.vinkius.com/vk_preview_yJ6ttm69gh5muC3sBsQSMeP3EEQBACzsCJzGv3SC/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 Qdrant Filter Builder
Ask Copilot: "Using Qdrant Filter Builder, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"qdrant-payload-filter-builder": {
"url": "https://edge.vinkius.com/vk_preview_yJ6ttm69gh5muC3sBsQSMeP3EEQBACzsCJzGv3SC/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 Qdrant Filter Builder
Open Cascade and ask: "Using Qdrant Filter Builder, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"qdrant-payload-filter-builder": {
"url": "https://edge.vinkius.com/vk_preview_yJ6ttm69gh5muC3sBsQSMeP3EEQBACzsCJzGv3SC/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 Qdrant Filter Builder
Ask Cline: "Using Qdrant Filter Builder, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add qdrant-payload-filter-builder --transport http "https://edge.vinkius.com/vk_preview_yJ6ttm69gh5muC3sBsQSMeP3EEQBACzsCJzGv3SC/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 Qdrant Filter Builder
Ask Claude: "Using Qdrant Filter Builder, show me...". 3 tools are ready
Build the capability set
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Bring your own AI
Change the model, client or framework. Keep Qdrant Filter Builder connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
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Cline -
Zed -
Continue -
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Pieces -
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Vercel AI SDK
Before you connect
Questions about Qdrant Filter Builder.
The practical details behind the request, access and result.
How can I use Qdrant Payload Filter Builder for vector database queries?
You use it to translate simple MongoDB-style filters into the complex JSON format that Qdrant requires. This makes it much easier for your agent to perform metadata filtering.
Can Qdrant Payload Filter Builder help with MongoDB syntax errors?
Yes. It acts as a translator, taking your existing MongoDB logic and reformatting it into the specific structure needed for Qdrant payloads.
Does Qdrant Payload Filter Builder support complex nested filters?
It does. You can use the complexity analysis capability to check how deep your nested filters are before you send them to your database cluster.
Can I use this MCP with Claude or Cursor?
Yes, it works with any MCP-compatible client like Claude, Cursor, or Windsurf. Once connected via Vinkius, your agent can start generating filters immediately.
Will Qdrant Payload Filter Builder prevent runtime errors?
It significantly reduces them by validating that your operators are supported and that the resulting JSON structure is syntactically correct for Qdrant.
How do I use this with Qdrant?
Use generate_qdrant_filter by providing a dictionary like {price: {$gt: 10}}.
What operators are supported?
The capability supports $eq, $gt, and $lt.
Can it detect errors?
Yes, validate_operator_syntax identifies unsupported MongoDB operators.
One connection away
Give your agent a direct line to Qdrant Filter Builder.
Connect Qdrant Filter Builder once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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