SearXNG-MCP
Provides tools for searching the web through a SearXNG metasearch instance, supporting multiple categories, engines, language filtering, pagination, time range, and safe search settings.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@SearXNG-MCPsearch for privacy-focused search engines"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
SearXNG-MCP
A Model Context Protocol (MCP) server that provides a bridge between AI assistants and SearXNG, a privacy-respecting metasearch engine.
Features
Search Tool: Perform web searches through SearXNG with full support for:
Multiple search categories (general, images, videos, news, music, files, etc.)
Specific engine selection
Language filtering
Pagination
Time range filtering
Safe search settings
Engine Discovery: List all available search engines supported by your SearXNG instance
Transport Support:
Streamable HTTP transport (recommended for web integrations)
Standard I/O transport (for CLI integrations)
Related MCP server: OneSearch MCP Server
Prerequisites
You should enable JSON model in your SearXNG instance.
Locate the search.formats configuration in your settings.yml and includes json:
search:
formats:
- html
- jsonConfiguration
The server can be configured using environment variables:
Variable | Description | Default |
| URL of your SearXNG instance |
|
| Port for HTTP transport |
|
| Transport mode: |
|
Usage
HTTP Transport (Streamable HTTP)
# Start the server
TRANSPORT_MODE=http SEARXNG_URL=https://your-searxng-instance.com npm start
# The server will listen on http://localhost:3000/mcpStdio Transport
# Start with stdio transport
SEARXNG_URL=https://your-searxng-instance.com npm startMCP Client Configuration
For Claude Desktop or other MCP-compatible clients, add to your configuration:
{
"mcpServers": {
"searxng": {
"command": "npx",
"args": [
"-y",
"@bs-mcps/searxng"
],
"env": {
"SEARXNG_URL": "https://your-searxng-instance.com",
}
}
}
}Cloudflare Worker Transport
You can deploy the MCP server as a Cloudflare Worker.
To deploy, you can fork this repository and then create a new Worker linked to your fork.
Or, you can simply click the button below to deploy directly to Cloudflare:
Required Environment Variables
Variable | Description |
| URL of your SearXNG instance |
Available Tools
Tool | Description |
| Perform a web search using SearXNG |
| Get all available search engines supported by the SearXNG instance |
search
Perform a web search using SearXNG.
Parameters:
query(required): The search querycategories: Array of categories (e.g.,["general", "images"])engines: Array of specific engines (e.g.,["google", "duckduckgo"])language: Language code (e.g.,"en")pageno: Page number for paginationtime_range: Time filter ("day","week","month","year")safesearch: Safe search level (0,1,2)
get_engines
Get all available search engines supported by the SearXNG instance.
No parameters required.
Copyright Notice
Copyright 2025-2026 BrandonStudio
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Available Tools
2 toolsget_enginesGet EnginesA
Get all available search engines supported by the SearXNG instance
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description does not disclose behavioral traits beyond the implied read-only list operation. It does not explicitly state lack of side effects or authentication requirements, but for a simple list, minimal disclosure is acceptable.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no wasted words. It is front-loaded and efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite having no output schema, the description only says 'search engines' without specifying what attributes are returned (e.g., names, status). A bit more detail would improve completeness for an agent needing to process the response.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are no parameters, so schema coverage is 100%. The description adds no parameter details, but none are needed. The baseline for zero parameters is high, and this is adequate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly specifies the verb 'get' and the resource 'all available search engines supported by the SearXNG instance', distinguishing it from the sibling tool 'search' which likely performs queries.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
While no explicit when-to-use or when-not-to-use is given, the purpose is distinct from the only sibling 'search', making it clear that this tool lists engines and the other searches. Some implicit guidance exists.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
searchSearchC
Search the web using SearXNG metasearch engine. NOTE: You may need to run twice, as the result of the first run may not be dependable.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | The search query | |
| pageno | No | Page number for pagination (default: 1) | |
| engines | No | Specific engines to use. Use `get_engines` tool to obtain all available engines. | |
| language | No | Language code (e.g., 'en', 'de', 'fr') | |
| categories | No | Categories to search | |
| safesearch | No | Safe search level (0=off, 1=moderate, 2=strict) | |
| time_range | No | Time range filter |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It only discloses that the first result may be unreliable, but lacks details on rate limits, search scope, or how results are returned.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with two sentences. The first sentence states the purpose, and the second is a caveat. No redundant information, but the note could be integrated more cleanly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given 7 parameters and no output schema, the description is incomplete. It does not explain what the tool returns, how to effectively use parameters like pagination, categories, or engines, or any side effects.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% coverage with descriptions for all 7 parameters. The tool description adds no additional context beyond what the schema already provides, so baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Search' and the resource 'the web using SearXNG metasearch engine', making the purpose unambiguous. However, it does not explicitly differentiate from the sibling tool 'get_engines', which is about listing engines, not searching.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides minimal usage guidance, only noting that the first run may not be dependable. It does not explain when to use this tool vs alternatives, nor does it provide any exclusions or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
2 tool updates
v0.4.0-dev.2- First observed
get_engines - First observed
search
TDQS
The two tools, get_engines and search, have completely distinct purposes. One retrieves available engines, the other performs searches, leaving no ambiguity.
Both tool names follow a verb_noun pattern (get_engines, search) with clear, imperative verbs. The pattern is consistent even though search is a single verb.
Two tools is on the lower end for a search engine server. While the core functionality (search and list engines) is covered, the count feels minimal but not unreasonable for a focused tool.
The tools cover basic search and engine listing, but lack features like filtering results, engine configuration, or advanced search parameters. The note about running twice suggests potential reliability issues, indicating minor gaps.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
Scrape, crawl and search the web for AI agents via MCP.
Provides AI assistants with access to Seltz's powerful Web Search capabilities.
Multi-engine search for AI agents. Trust scoring, local corpus, MCP-native. Self-hostable, BYOK.
Serper MCP — wraps the Serper Google Search API (serper.dev)
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceA server that enables language models to perform web searches through SearXNG using the Model Context Protocol standard.2411MIT
- AlicenseAqualityAmaintenanceA Model Context Protocol server that enables web search, scraping, crawling, and content extraction through multiple engines including SearXNG, Firecrawl, and Tavily.4190139MIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server that enables AI assistants to perform web searches using SearXNG, a privacy-respecting metasearch engine.143MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to perform web searches and read URL content via a SearXNG instance.218MIT
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/BrandonStudio/SearXNG-MCP'
If you have feedback or need assistance with the MCP directory API, please join our Discord server