AddSearch Connector for AI agents.
10 live capabilities
Audit site search performance and manage content indexes instantly.
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Why people use AddSearch
AddSearch for Site Search Analytics and Content Audits
This Connector changes that by bringing your index and your analytics into one chat. You can ask your agent to find every query that returned no results and then have it list the documents that are closest matches. You get a clear picture of your content gaps and search performance in seconds.
What Vinkius changes
You get a conversational interface for your entire site search index.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Finding missing content
A content manager asks the agent to show the top 5 zero-result queries from last week to plan new blog posts.
- Real-world use case 02
Fixing index errors
A developer has the agent use index_document to push a corrected JSON fix for a broken URL in the search results.
- Real-world use case 03
Verifying category ranking
An e-commerce lead asks the agent to run search_filtered for brand=nike and category=shoes to check inventory visibility.
Complete set · 10capabilities
The complete AddSearch capability set.
These are the exact actions your AI can choose when you ask it to work with AddSearch.
01—04
4 capabilities in this set.
Part of 10 available through AddSearch.
- 01 Capability
Search sorted
Run a search and organize the results by a custom variable. This helps you check the relevance of your sorting logic.
- 02 Capability
Stats queries
Retrieve data on what users are typing into your search bar. This helps you identify content gaps and missing pages.
- 03 Capability
Search keyword
Perform a standard keyword search across your indexed content. This mimics how a normal user would search your site.
- 04 Capability
Stats clicks
Pull analytics on how many times users clicked on specific results. Use this to see which search results actually convert.
05—07
3 capabilities in this set.
Part of 10 available through AddSearch.
- 05 Capability
Autosuggest
Fetch autocomplete suggestions for specific search prefixes. This allows you to test your frontend search experience.
- 06 Capability
Delete document
Permanently remove a document from your search index. This helps keep your results clean of outdated content.
- 07 Capability
Search filtered
Find content using specific filters like category or brand. This lets you verify if specific products are ranking correctly.
08—10
3 capabilities in this set.
Part of 10 available through AddSearch.
- 08 Capability
Index document
Add or update a document in your index using a JSON payload. Use this to push manual fixes or new content quickly.
- 09 Capability
List documents
Display a full list of all documents currently in your index. This is useful for auditing what the AI can actually see.
- 10 Capability
Search pagination
Grab a specific page of results for testing navigation. Use this to see how your site handles multiple pages of results.
Set up in minutes
One URL. Then ask AddSearch to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use AddSearch 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_Lk90LaSuwxzHV4MxJBjoXa4PbfYg842s227Obcqs/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 AddSearch, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable AddSearch for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_Lk90LaSuwxzHV4MxJBjoXa4PbfYg842s227Obcqs/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 AddSearch URL.
- Step 03
Save and start
Save the connection and enable AddSearch in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"addsearch": {
"url": "https://edge.vinkius.com/vk_preview_Lk90LaSuwxzHV4MxJBjoXa4PbfYg842s227Obcqs/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 AddSearch
Open Agent mode in chat and ask: "Using AddSearch, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"addsearch": {
"url": "https://edge.vinkius.com/vk_preview_Lk90LaSuwxzHV4MxJBjoXa4PbfYg842s227Obcqs/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 AddSearch
Ask Copilot: "Using AddSearch, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"addsearch": {
"url": "https://edge.vinkius.com/vk_preview_Lk90LaSuwxzHV4MxJBjoXa4PbfYg842s227Obcqs/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 AddSearch
Open Cascade and ask: "Using AddSearch, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"addsearch": {
"url": "https://edge.vinkius.com/vk_preview_Lk90LaSuwxzHV4MxJBjoXa4PbfYg842s227Obcqs/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 AddSearch
Ask Cline: "Using AddSearch, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add addsearch --transport http "https://edge.vinkius.com/vk_preview_Lk90LaSuwxzHV4MxJBjoXa4PbfYg842s227Obcqs/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 AddSearch
Ask Claude: "Using AddSearch, show me...". 10 tools are ready
Where the request belongs
Work AddSearch can move forward.
Content managers who need to spot content gaps, developers debugging search relevance, and e-commerce leads auditing inventory visibility.
Content Manager
Identifies zero-result queries to create new blog posts or product pages.
Search Engineer
Debugs index metadata and pushes manual document fixes without using a CLI.
E-commerce Specialist
Verifies that specific categories are ranking correctly in search results.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Manage enterprise search via Elastic. search engines and documents, handle indexing, and monitor search analytics directly from any AI agent.
Meilisearch
Manage your Meilisearch instance. handle indexes, documents, and search configurations directly from your AI agent.
Fern
Manage and interact with Fern documentation platforms. generate access tokens, index websites for AI, and query analytics directly from your agent.
Orama Hybrid Search Query Builder
Generate syntactically perfect Orama search payloads with deterministic JSON structure.
watsonx Discovery
Search and analyze complex data with AI-powered insights on IBM watsonx Discovery. the cognitive search engine.
Bring your own AI
Change the model, client or framework. Keep AddSearch 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 AddSearch.
The practical details behind the request, access and result.
Can I use AddSearch MCP to see what my users are actually typing?
Yes. You can ask your agent to pull the latest search query analytics to see exactly what terms people are using most often.
How does AddSearch MCP help with content planning?
It helps you identify content gaps by pulling 'zero-result' queries, showing you exactly what your audience wants but can't find.
Can the AddSearch MCP delete pages from my index?
Yes. You can instruct your agent to permanently remove specific documents or outdated pages from your search index to keep results clean.
Is AddSearch MCP good for checking search ranking?
It's excellent for that. You can run filtered searches to verify that specific products or categories are appearing in the correct order.
Can I push new content to my AddSearch index using an AI agent?
Yes. You can have your agent push new content directly to your index using JSON data, skipping the need for manual dashboard uploads.
Does AddSearch MCP provide click-through data?
Yes. It can retrieve analytics on how many times users actually clicked on your search results, helping you measure content effectiveness.
Can my AI agent manually index new pages?
Yes. If you provide the AddSearch Secret Key, your agent can use the index_document capability. You can supply a URL and a JSON payload containing the title and body, and the agent will push it directly into your live search index without waiting for the web scraper.
What kind of search analytics can I retrieve?
Using the Secret Key, your agent can call two analytics endpoints: stats_queries (to see what users searched for, including top searches and zero-result queries) and stats_clicks (to see the click-through rates and popular URLs users navigated to from the search bar).
Do I need the Secret Key if I just want to test search queries?
No, if your goal is solely to run searches, paginate results, or check auto-suggestions, the public 'Site Key' is completely sufficient. The Secret Key is only required to list all documents, modify the index, and fetch analytics.
One connection away
Give your agent a direct line to AddSearch.
Connect AddSearch once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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