AddSearch MCP Server
Equip your AI agent with AddSearch to query your indexed site content, push new documents, and retrieve search analytics instantly.
Ask AI about this MCP Server
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What is the AddSearch MCP Server?
The AddSearch MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to AddSearch via 10 tools. Equip your AI agent with AddSearch to query your indexed site content, push new documents, and retrieve search analytics instantly. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate AddSearch
Ask your AI agent "Show me the top search queries that resulted in 0 hits." and get the answer without opening a single dashboard. With 10 tools connected to real AddSearch data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
AddSearch MCP Server capabilities
10 toolsGet autocomplete suggestions
Requires Secret Key. Permanently delete a document
Requires Secret Key. Add or update an indexed document
Requires Secret Key. List all indexed documents
g., "category=shoes", "brand=nike"). Search indexed content by custom field
Search indexed content by keyword
Retrieve a specific page of search results
Search indexed content with custom sort
Requires Secret Key. Retrieve click-through analytics
Requires Secret Key. Retrieve search query analytics
What the AddSearch MCP Server unlocks
Connect your AddSearch account to your AI agent and turn your site's search index into an interactive, manageable database. Perfect for content teams and developers who need to audit site search performance without opening dashboards.
What you can do
- Deep Search — Query your indexed content using natural language, apply custom field filters (e.g. "category=shoes"), or sort by custom variables
- Document Management — List all indexed pages, import new content directly via JSON, or permanently delete outdated documents from the index
- Search Analytics — Retrieve live statistics on user queries, identifying top searches, zero-result queries, and click-through rates
- Frontend Emulation — Test your auto-suggestions and pagination just like a real user interacting with your search bar
How it works
1. Subscribe to this server
2. Enter your AddSearch Site Key and optional Secret Key
3. Start managing your search index from Claude, Cursor, or any MCP-compatible environment
Who is this for?
- Content Managers — ask your agent what the most popular zero-result queries were this week to identify content gaps
- Developers — debug the search index by looking up a specific URL's metadata or manually pushing a JSON document fix in seconds
- E-Commerce Teams — query specific product categories and verify if the relevance ranking is displaying the right inventory
Frequently asked questions about the AddSearch MCP Server
Can my AI agent manually index new pages?
Yes. If you provide the AddSearch Secret Key, your agent can use the index_document tool. 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.
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Connect AddSearch with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of AddSearch MCP Server
Production-grade AddSearch MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.