Scavio MCP, SearXNG, Brave Search API and Exa are the best privacy-focused MCP servers for AI agents in 2026. Each handles query privacy differently: billing-only logging with no query storage, fully self-hosted zero-logging search, independent indexing outside ad networks, and neural search with minimal data retention.
Transparency: Scavio operates one of the MCP servers reviewed here. We include it because it meets the privacy criteria we set for this guide -- no query logging beyond billing, no resale of query data, HTTPS-only transport -- and we disclose the relationship so you can evaluate the recommendation on its merits. All pricing and features were verified in October 2026.
Quick comparison
| MCP server | Data source | Pricing | Self-hostable | Query logging | Best for |
|---|---|---|---|---|---|
| Scavio MCP | 55+ platforms (Google, Amazon, Reddit, etc.) | $30/mo (7,000 credits) | No (hosted API) | Billing only, no resale | Production agents needing breadth |
| SearXNG | 250+ search engines (meta-search) | Free (self-hosted) | Yes (required) | None (you control it) | Maximum control, zero cost |
| Brave Search API | Brave's independent index | ~$5/1K queries | No (hosted API) | Minimal (no profiling) | Independent index, no Google dependency |
| Exa | Exa's neural index | $4--7/1K queries | No (hosted API) | Usage-based | Semantic search, research agents |
Why privacy matters in the MCP layer
When an AI agent calls a search tool, the query often contains information the user considers private. A customer asking your support agent "Why was I charged twice for order #48291?" generates a search query that includes an order number. A research agent investigating a competitor's pricing sends queries that reveal your business strategy. An internal tool searching for employee policy documents exposes what your team is working on.
The MCP server sits between your agent and the search provider. Every query passes through it. If that layer logs queries, correlates them with user identifiers, or sells aggregated search data to third parties, your agent's privacy guarantees are only as strong as the weakest link in the chain.
Three properties define a privacy-respecting MCP search server:
- Minimal logging -- the server retains only what's needed for billing and abuse prevention, not behavioral profiles.
- No query resale -- search data is not aggregated, anonymized, and sold to data brokers or advertisers.
- Transport security -- all queries travel over HTTPS/TLS with no plaintext fallback.
A fourth property -- self-hostability -- gives you maximum control by keeping queries entirely on your infrastructure, but it comes with operational overhead that not every team can justify.
1. Scavio MCP -- structured data from 55+ platforms, no query profiling
Scavio's MCP server at mcp.scavio.dev/mcp exposes the full Scavio API as MCP tools. Your agent can search Google, pull Amazon product data, read Reddit threads, check YouTube analytics, monitor Walmart prices, and access 40+ other platforms -- all through the standard MCP protocol.
Privacy posture: Scavio logs API calls for billing and rate limiting. Queries are not used to build user profiles, not sold to third parties, and not shared with the upstream data sources in identifiable form. Transport is HTTPS-only.
What sets it apart for privacy-conscious teams: Most search MCP servers give you web search results -- ten blue links from Google or Bing. Scavio returns structured data: product prices, review text, social media metrics, business listings, and search results as typed JSON fields. This means your agent's queries can be more specific ("get Amazon product B0DCXKZ9MM") rather than broad keyword searches that leak more intent.
Pricing: Growth plan at $30/month includes 7,000 credits. Google search costs 2 credits per query. Amazon product lookups cost 2 credits. 50 free credits on signup, no credit card required.
Setup:
{
"mcpServers": {
"scavio": {
"url": "https://mcp.scavio.dev/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}Best for: Production agents that need to search across multiple platforms (not just web search) while keeping query data out of advertising pipelines. The breadth -- 55+ platforms in one MCP server -- means fewer integration points and fewer places where query data is exposed.
2. SearXNG -- self-hosted meta-search, zero external logging
SearXNG is a free, open-source metasearch engine that aggregates results from 250+ search sources including Google, Bing, DuckDuckGo, Wikipedia, and dozens of specialized engines. You host it on your own infrastructure, which means search queries never leave your network unless they're forwarded to the upstream engines -- and even then, the upstream engine sees your server's IP, not the user's.
Privacy posture: The strongest in this guide by definition. SearXNG performs no tracking, stores no query history, and builds no user profiles. Since you operate the instance, you control what gets logged. The software itself logs nothing by default.
The catch: Self-hosting means self-maintaining. You need a server, Docker or a bare-metal install, ongoing updates, and monitoring. A single-user instance also makes your search pattern more identifiable to upstream engines compared to a shared instance serving hundreds of users.
MCP integration: SearXNG exposes a JSON API when the json format is enabled in its settings file. Community-built MCP wrappers exist on GitHub that bridge this JSON API to the MCP protocol. The setup is not turnkey -- you configure the SearXNG instance, enable the JSON API, then point the MCP wrapper at it.
Pricing: Free. Your only cost is the server running it (a $5/month VPS handles moderate search volume).
Best for: Teams with strict data sovereignty requirements where no query can touch a third-party service's logging infrastructure. Also suitable for research operations that need to query many search engines simultaneously without creating a trackable profile on any single one.
Limitation: Returns web search results only -- no structured product data, no social media APIs, no marketplace data. If your agent needs Amazon prices or TikTok analytics, SearXNG can't help.
3. Brave Search API -- independent index, privacy-first company
Brave Search runs its own web index rather than proxying Google or Bing, which is a meaningful privacy distinction: your queries are not contributing to Google's or Microsoft's advertising profiles. The API provides web search, news, and image results with a focus on minimal data retention.
Privacy posture: Brave's stated policy is no user profiling from API queries. The company built its reputation on privacy (Brave Browser, Brave Ads with anonymous confirmations), and the search API extends that philosophy. Queries are processed for results and billing, not for behavioral targeting.
Pricing: Approximately $5 per 1,000 queries on the Search plan, with $5 in free monthly credits. The search plan supports 50 queries per second. An Answers plan at roughly $4 per 1,000 queries adds AI-summarized answers with additional token charges.
MCP integration: Official and community MCP wrappers exist for Brave Search. The API returns structured JSON with web results, news results, and local results.
Best for: Agents that need a privacy-respecting web search with an independent index. If your concern is specifically about not feeding queries into Google's or Bing's data pipelines, Brave is the most established alternative with its own crawl infrastructure.
Limitation: Web search only. No product data, no social media APIs, no marketplace-specific endpoints. The index, while growing, is smaller than Google's -- obscure or very recent pages may not appear.
4. Exa -- neural search for research agents
Exa builds its own neural search index using embeddings rather than keyword matching. This means queries like "companies that pivoted from B2C to B2B in 2025" return conceptually relevant results rather than pages that happen to contain those exact words. The results include page content by default -- no separate scraping step needed.
Privacy posture: Exa processes queries through its own neural index without forwarding them to Google or Bing. Usage is tracked for billing. The company does not advertise a "no profiling" policy as prominently as Brave, so review their current terms if privacy is your primary criterion.
Pricing: Search with contents starts at $4 per 1,000 requests on the Instant tier, $7 per 1,000 on the Fast/Auto tier. Deep search runs at $12 per 1,000 requests. New accounts receive sign-up credits (amounts vary; check exa.ai for current offers).
MCP integration: Exa provides an official MCP server. Configuration follows the standard pattern with an API key.
Best for: Research agents that need semantic understanding of queries rather than keyword matching. Particularly strong for competitive intelligence, academic research, and any use case where the query is a natural language question rather than a keyword string.
Limitation: The neural index is smaller than a traditional web index. Product-specific searches (Amazon ASINs, Walmart items) are not in scope -- Exa indexes web pages, not marketplace data.
Choosing your search stack
Maximum privacy, technical team -- SearXNG self-hosted. No queries leave your infrastructure. Pair with Scavio MCP for structured marketplace data that SearXNG can't provide.
Production agents, privacy-aware -- Scavio MCP for breadth (55+ platforms, structured data, one integration point) plus Brave Search API for independent web search that doesn't feed Google's index.
Research and semantic search -- Exa for natural language queries where keyword search falls short. Supplement with Scavio for any platform-specific data needs.
Budget-constrained -- SearXNG (free) plus Scavio's 50 free credits covers both web search and structured platform data at zero cost to start.
No single MCP server covers every need. The privacy-optimal stack for most production agents combines a structured data API (Scavio) with either a self-hosted meta-search engine (SearXNG) or a privacy-focused web search API (Brave) -- keeping query data out of advertising pipelines while maintaining result quality across data types.
Frequently Asked Questions
Three properties: minimal logging (only what billing and abuse prevention require), no query resale (search data is not aggregated and sold to data brokers or advertisers), and transport security (all queries travel over HTTPS with no plaintext fallback). A fourth property -- self-hostability -- gives maximum control by keeping queries on your own infrastructure, but adds operational overhead.
Yes. The MCP protocol supports multiple servers in a single agent configuration. A common privacy-optimized setup pairs Scavio MCP (for structured data from 55+ platforms) with either SearXNG (for self-hosted web search) or Brave Search API (for independent web search). The agent selects the appropriate tool based on the query type.
SearXNG itself is free and open-source software. Your cost is the server to run it -- a $5/month VPS handles moderate search volume. You also invest time in setup, configuration, and ongoing maintenance. There are no per-query charges because you are aggregating results from upstream search engines directly, though heavy use from a single IP may trigger rate limits on some upstream sources.
No. Scavio logs API calls for billing and rate limiting only. Queries are not used to build user profiles, not aggregated for sale to third parties, and not shared with upstream data sources in identifiable form. All API communication uses HTTPS. The 55+ platforms data sources are accessed through Scavio's infrastructure, so your queries do not appear in those platforms' analytics as individual user searches.