
UniFuncs
OfficialConnects MCP to UniFuncs API for web search, content extraction, and deep research capabilities. Offers both real-time and async processing for complex research tasks.
Provides a bridge to the UniFuncs API for web search and web reading capabilities through TypeScript implementation with Express and NPX commands.
What it does
- Search the web with filtering and pagination
- Extract clean content from web pages
- Perform deep search with streaming results
- Create async research tasks with custom parameters
- Configure research depth and domain scope
- Export results in multiple formats
Best for
About UniFuncs
UniFuncs is an official MCP server published by unifuncs that provides AI assistants with tools and capabilities via the Model Context Protocol. UniFuncs offers a TypeScript bridge to the google web search api, enabling web search and reading with Express and NPX. It is categorized under developer tools.
How to install
You can install UniFuncs in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
UniFuncs is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
UniFuncs MCP Server
MCP Server for the UniFuncs API - Enhanced with Deep Search and Deep Research capabilities
Features
This MCP server provides access to the following UniFuncs APIs:
1. Web Search (web-search)
Real-time web search with comprehensive results
- Search across the internet with keywords
- Filter by freshness (Day/Week/Month/Year)
- Pagination support (1-50 results per page)
- Multiple output formats (JSON/Markdown/Text)
2. Web Reader (web-reader)
Extract detailed content from web pages
- Clean content extraction
- Optional image inclusion
- Link summary support
- Markdown output
3. Deep Search - Sync (deep-search-sync)
Real-time deep search with immediate results
- Model: S3
- Streaming support
- Instant response
4. Deep Search - Async (deep-search-create-task + deep-search-query-task)
Asynchronous deep search for complex queries
- Create task and get task_id immediately
- Poll for task status and results
- Background processing for large queries
5. Deep Research (deep-research-create-task + deep-research-query-task)
Comprehensive deep research capabilities
- Models: U1, U1-Pro
- Customizable research parameters:
- Introduction: Set researcher persona
- Reference style: link/number/footnote
- Max depth: Up to 50 iterations (25 recommended)
- Domain scope: Limit search to specific domains
- Domain blacklist: Exclude specific domains
- Custom output prompts
- Important URLs, keywords, and prompts
- Async task management
Setup
API Key
Get a UniFuncs API Key: https://unifuncs.com/account
NPX (STDIO)
{
"mcpServers": {
"unifuncs": {
"command": "npx",
"args": [
"-y",
"@unifuncs/ufn-mcp-server"
],
"env": {
"UNIFUNCS_API_KEY": "sk-**********"
}
}
}
}
SSE Server
For SSE transport, set the environment variable:
export UNIFUNCS_SSE_SERVER=true
export UNIFUNCS_SSE_SERVER_PORT=5656 # Optional, default is 5656
Or use the --sse flag:
npx @unifuncs/ufn-mcp-server --sse
Tool Reference
web-search
Query: Search keywords
Freshness: Day | Week | Month | Year (optional)
Page: Page number, default 1 (optional)
Count: Results per page, 1-50, default 10 (optional)
Format: json | markdown | text, default json (optional)
web-reader
URL: Page URL to read
Format: markdown (optional)
IncludeImages: boolean (optional)
LinkSummary: boolean (optional)
deep-search-sync
Model: s3 (default: s3)
Messages: Array of {role: "user"|"assistant"|"system", content: string}
Stream: boolean (default: false)
deep-search-create-task
Model: s3 (default: s3)
Messages: Array of {role: "user"|"assistant"|"system", content: string}
Returns: task_id for querying status
deep-search-query-task
Task_ID: Task ID from create_task
Returns: Task status, progress, and results when completed
deep-research-create-task
Model: u1 | u1-pro (default: u1)
Content: Research question/topic
Introduction: Researcher persona (optional)
Reference_Style: link | number | footnote (default: link)
Generate_Summary: boolean (default: false)
Max_Depth: 1-50 (default: 25, recommended)
Domain_Scope: Comma-separated domains (optional)
Domain_Blacklist: Comma-separated domains to exclude (optional)
Output_Prompt: Custom output template (optional)
Important_URLs: Comma-separated URLs (optional)
Important_Keywords: Comma-separated keywords (optional)
Important_Prompt: Important prompt content (optional)
Push_To_Share: boolean (default: false)
Set_Public: boolean (default: false)
Returns: task_id for querying status
deep-research-query-task
Task_ID: Task ID from create_task
Returns: Task status, progress, and results when completed
Examples
Web Search
{
"query": "OpenClaw AI",
"count": 5,
"format": "json"
}
Deep Search Async
// Create task
{
"model": "s3",
"messages": [
{ "role": "user", "content": "What are the latest developments in AI?" }
]
}
// Query task (use returned task_id)
{
"task_id": "3aff2a91-7795-4b73-8dab-0593551a27a1"
}
Deep Research
// Create research task
{
"model": "u1",
"content": "Analyze the impact of AI on healthcare",
"max_depth": 25,
"domain_scope": "arxiv.org, nature.com",
"generate_summary": true
}
// Query research task
{
"task_id": "research-task-id-here"
}
Pricing
- Web Search: Pay per request
- Web Reader: Pay per request
- Deep Search: Pay per token usage
- Deep Research:
- U1: 0.6 PTC/M Tokens
- U1-Pro: 1.2 PTC/M Tokens
For detailed pricing, visit: https://unifuncs.com/pricing
Support
- Documentation: https://unifuncs.com/api
- GitHub: https://github.com/UniFuncs/ufn-mcp-server
- Email: [email protected]
- WeChat: unifuncs
License
MIT
Changelog
v0.1.0 (2026-02-25)
- Added Deep Search sync API support
- Added Deep Search async API (create_task + query_task)
- Added Deep Research async API (create_task + query_task)
- Enhanced documentation with all tool references
- Improved error handling
v0.0.6
- Initial release with web-search and web-reader
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