Knuckles-Team/searxng-mcp
3.2
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Searxng MCP Server is a model context protocol server designed to facilitate seamless integration and communication between various search engines and applications.
SearXNG - A2A | AG-UI | MCP
Version: 0.1.24
Overview
SearXNG MCP Server + A2A Server
It includes a Model Context Protocol (MCP) server and an out of the box Agent2Agent (A2A) agent
Perform privacy-respecting web searches using SearXNG through an MCP server!
This repository is actively maintained - Contributions are welcome!
Supports:
- Privacy-respecting metasearch
- Customizable search parameters (language, time range, categories, engines)
- Safe search levels
- Pagination control
- Basic authentication support
- Random instance selection
MCP
MCP Tools
| Function Name | Description | Tag(s) |
|---|---|---|
web_search | Perform web searches using SearXNG, a privacy-respecting metasearch engine. Returns relevant web content with customizable parameters. | search |
Using as an MCP Server
The MCP Server can be run in two modes: stdio (for local testing) or http (for networked access). To start the server, use the following commands:
Run in stdio mode (default):
searxng-mcp --transport "stdio"
Run in HTTP mode:
searxng-mcp --transport "http" --host "0.0.0.0" --port "8000"
AI Prompt:
Search for information about artificial intelligence
AI Response:
Search completed successfully. Found 10 results for "artificial intelligence":
1. **What is Artificial Intelligence?**
URL: https://example.com/ai
Content: Artificial intelligence (AI) refers to the simulation of human intelligence in machines...
2. **AI Overview**
URL: https://example.org/ai-overview
Content: AI encompasses machine learning, deep learning, and more...
A2A Agent
This package also includes an A2A agent server that can be used to interact with the SearXNG MCP server.
Architecture:
---
config:
layout: dagre
---
flowchart TB
subgraph subGraph0["Agent Capabilities"]
C["Agent"]
B["A2A Server - Uvicorn/FastAPI"]
D["MCP Tools"]
F["Agent Skills"]
end
C --> D & F
A["User Query"] --> B
B --> C
D --> E["Platform API"]
C:::agent
B:::server
A:::server
classDef server fill:#f9f,stroke:#333
classDef agent fill:#bbf,stroke:#333,stroke-width:2px
style B stroke:#000000,fill:#FFD600
style D stroke:#000000,fill:#BBDEFB
style F fill:#BBDEFB
style A fill:#C8E6C9
style subGraph0 fill:#FFF9C4
Component Interaction Diagram
sequenceDiagram
participant User
participant Server as A2A Server
participant Agent as Agent
participant Skill as Agent Skills
participant MCP as MCP Tools
User->>Server: Send Query
Server->>Agent: Invoke Agent
Agent->>Skill: Analyze Skills Available
Skill->>Agent: Provide Guidance on Next Steps
Agent->>MCP: Invoke Tool
MCP-->>Agent: Tool Response Returned
Agent-->>Agent: Return Results Summarized
Agent-->>Server: Final Response
Server-->>User: Output
Usage
MCP CLI
| Short Flag | Long Flag | Description |
|---|---|---|
| -h | --help | Display help information |
| -t | --transport | Transport method: 'stdio', 'http', or 'sse' [legacy] (default: stdio) |
| -s | --host | Host address for HTTP transport (default: 0.0.0.0) |
| -p | --port | Port number for HTTP transport (default: 8000) |
| --auth-type | Authentication type: 'none', 'static', 'jwt', 'oauth-proxy', 'oidc-proxy', 'remote-oauth' (default: none) | |
| --token-jwks-uri | JWKS URI for JWT verification | |
| --token-issuer | Issuer for JWT verification | |
| --token-audience | Audience for JWT verification | |
| --oauth-upstream-auth-endpoint | Upstream authorization endpoint for OAuth Proxy | |
| --oauth-upstream-token-endpoint | Upstream token endpoint for OAuth Proxy | |
| --oauth-upstream-client-id | Upstream client ID for OAuth Proxy | |
| --oauth-upstream-client-secret | Upstream client secret for OAuth Proxy | |
| --oauth-base-url | Base URL for OAuth Proxy | |
| --oidc-config-url | OIDC configuration URL | |
| --oidc-client-id | OIDC client ID | |
| --oidc-client-secret | OIDC client secret | |
| --oidc-base-url | Base URL for OIDC Proxy | |
| --remote-auth-servers | Comma-separated list of authorization servers for Remote OAuth | |
| --remote-base-url | Base URL for Remote OAuth | |
| --allowed-client-redirect-uris | Comma-separated list of allowed client redirect URIs | |
| --eunomia-type | Eunomia authorization type: 'none', 'embedded', 'remote' (default: none) | |
| --eunomia-policy-file | Policy file for embedded Eunomia (default: mcp_policies.json) | |
| --eunomia-remote-url | URL for remote Eunomia server |
A2A CLI
Endpoints
- Web UI:
http://localhost:8000/(if enabled) - A2A:
http://localhost:8000/a2a(Discovery:/a2a/.well-known/agent.json) - AG-UI:
http://localhost:8000/ag-ui(POST)
| Short Flag | Long Flag | Description |
|---|---|---|
| -h | --help | Display help information |
| --host | Host to bind the server to (default: 0.0.0.0) | |
| --port | Port to bind the server to (default: 9000) | |
| --reload | Enable auto-reload | |
| --provider | LLM Provider: 'openai', 'anthropic', 'google', 'huggingface' | |
| --model-id | LLM Model ID (default: qwen/qwen3-coder-next) | |
| --base-url | LLM Base URL (for OpenAI compatible providers) | |
| --api-key | LLM API Key | |
| --mcp-url | MCP Server URL (default: http://localhost:8000/mcp) | |
| --web | Enable Pydantic AI Web UI |
Using as an MCP Server
The MCP Server can be run in two modes: stdio (for local testing) or http (for networked access). To start the server, use the following commands:
Run in stdio mode (default):
searxng-mcp --transport "stdio"
Run in HTTP mode:
searxng-mcp --transport "http" --host "0.0.0.0" --port "8000"
AI Prompt:
Search for information about artificial intelligence
AI Response:
Search completed successfully. Found 10 results for "artificial intelligence":
1. **What is Artificial Intelligence?**
URL: https://example.com/ai
Content: Artificial intelligence (AI) refers to the simulation of human intelligence in machines...
2. **AI Overview**
URL: https://example.org/ai-overview
Content: AI encompasses machine learning, deep learning, and more...
Agentic AI
searxng-mcp is designed to be used by Agentic AI systems. It provides a set of tools that allow agents to search the web using SearXNG.
Agent-to-Agent (A2A)
This package also includes an A2A agent server that can be used to interact with the SearXNG MCP server.
CLI
| Argument | Description | Default |
|---|---|---|
--host | Host to bind the server to | 0.0.0.0 |
--port | Port to bind the server to | 9000 |
--reload | Enable auto-reload | False |
--provider | LLM Provider (openai, anthropic, google, huggingface) | openai |
--model-id | LLM Model ID | qwen/qwen3-coder-next |
--base-url | LLM Base URL (for OpenAI compatible providers) | http://ollama.arpa/v1 |
--api-key | LLM API Key | ollama |
--mcp-url | MCP Server URL | http://searxng-mcp:8000/mcp |
--allowed-tools | List of allowed MCP tools | web_search |
Examples
Run A2A Server
searxng-agent --provider openai --model-id gpt-4 --api-key sk-... --mcp-url http://localhost:8000/mcp
Run with Docker
docker run -e CMD=searxng-agent -p 8000:8000 searxng-mcp
Docker
Build
docker build -t searxng-mcp .
Run MCP Server
docker run -p 8000:8000 searxng-mcp
Run A2A Server
docker run -e CMD=searxng-agent -p 8001:8001 searxng-mcp
Deploy MCP Server as a Service
The ServiceNow MCP server can be deployed using Docker, with configurable authentication, middleware, and Eunomia authorization.
Using Docker Run
docker pull knucklessg1/searxng-mcp:latest
docker run -d \
--name searxng-mcp \
-p 8004:8004 \
-e HOST=0.0.0.0 \
-e PORT=8004 \
-e TRANSPORT=http \
-e AUTH_TYPE=none \
-e EUNOMIA_TYPE=none \
-e SEARXNG_URL=https://searxng.example.com \
-e SEARXNG_USERNAME=user \
-e SEARXNG_PASSWORD=pass \
-e USE_RANDOM_INSTANCE=false \
knucklessg1/searxng-mcp:latest
For advanced authentication (e.g., JWT, OAuth Proxy, OIDC Proxy, Remote OAuth) or Eunomia, add the relevant environment variables:
docker run -d \
--name searxng-mcp \
-p 8004:8004 \
-e HOST=0.0.0.0 \
-e PORT=8004 \
-e TRANSPORT=http \
-e AUTH_TYPE=oidc-proxy \
-e OIDC_CONFIG_URL=https://provider.com/.well-known/openid-configuration \
-e OIDC_CLIENT_ID=your-client-id \
-e OIDC_CLIENT_SECRET=your-client-secret \
-e OIDC_BASE_URL=https://your-server.com \
-e ALLOWED_CLIENT_REDIRECT_URIS=http://localhost:*,https://*.example.com/* \
-e EUNOMIA_TYPE=embedded \
-e EUNOMIA_POLICY_FILE=/app/mcp_policies.json \
-e SEARXNG_URL=https://searxng.example.com \
-e SEARXNG_USERNAME=user \
-e SEARXNG_PASSWORD=pass \
-e USE_RANDOM_INSTANCE=false \
knucklessg1/searxng-mcp:latest
Using Docker Compose
Create a docker-compose.yml file:
services:
searxng-mcp:
image: knucklessg1/searxng-mcp:latest
environment:
- HOST=0.0.0.0
- PORT=8004
- TRANSPORT=http
- AUTH_TYPE=none
- EUNOMIA_TYPE=none
- SEARXNG_URL=https://searxng.example.com
- SEARXNG_USERNAME=user
- SEARXNG_PASSWORD=pass
- USE_RANDOM_INSTANCE=false
ports:
- 8004:8004
For advanced setups with authentication and Eunomia:
services:
searxng-mcp:
image: knucklessg1/searxng-mcp:latest
environment:
- HOST=0.0.0.0
- PORT=8004
- TRANSPORT=http
- AUTH_TYPE=oidc-proxy
- OIDC_CONFIG_URL=https://provider.com/.well-known/openid-configuration
- OIDC_CLIENT_ID=your-client-id
- OIDC_CLIENT_SECRET=your-client-secret
- OIDC_BASE_URL=https://your-server.com
- ALLOWED_CLIENT_REDIRECT_URIS=http://localhost:*,https://*.example.com/*
- EUNOMIA_TYPE=embedded
- EUNOMIA_POLICY_FILE=/app/mcp_policies.json
- SEARXNG_URL=https://searxng.example.com
- SEARXNG_USERNAME=user
- SEARXNG_PASSWORD=pass
- USE_RANDOM_INSTANCE=false
ports:
- 8004:8004
volumes:
- ./mcp_policies.json:/app/mcp_policies.json
Run the service:
docker-compose up -d
Configure mcp.json for AI Integration
{
"mcpServers": {
"searxng": {
"command": "uv",
"args": [
"run",
"--with",
"searxng-mcp",
"searxng-mcp"
],
"env": {
"SEARXNG_URL": "https://searxng.example.com",
"SEARXNG_USERNAME": "user",
"SEARXNG_PASSWORD": "pass",
"USE_RANDOM_INSTANCE": "false"
},
"timeout": 300000
}
}
}
Install Python Package
python -m pip install searxng-mcp
uv pip install searxng-mcp
Repository Owners
