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MCP server · Developer Tools

ufn-server

MCP Server for the UniFuncs API

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Scored 6 days ago · breakdown

About ufn-server

ufn-server is an MCP server published by UniFuncs in the Developer Tools category: mCP Server for the UniFuncs API.

The repository has 11 stars and 4 forks, with the last commit a month ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

Install
npx @unifuncs/ufn-mcp-server
Claude Code
claude mcp add ufn-mcp-server -- npx -y @unifuncs/ufn-mcp-server
npx
npx -y @unifuncs/ufn-mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 6 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • !License declaredNo license file. Legally you have no right to use it in a product.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

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 / S3 Pro
  • 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: U3, U3 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-**********"
            }
        }
    }
}

Note: the npx experience reflects the latest package published to npm, not necessarily the current main branch. If the published npm version is behind main, use the source build instructions below to reproduce the latest merged toolset.

Source Build (Local)

git clone https://github.com/UniFuncs/ufn-mcp-server.git
cd ufn-mcp-server
yarn install
npm run build
UNIFUNCS_API_KEY=sk-********** node build/index.js

Example Codex MCP config:

[mcp_servers.unifuncs-local]
command = "node"
args = ["/absolute/path/to/ufn-mcp-server/build/index.js"]

[mcp_servers.unifuncs-local.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 / s3-pro (default: s3)
Messages: Array of {role: "user"|"assistant"|"system", content: string}
Stream: boolean (default: false)

deep-search-create-task

Model: s3 / s3-pro (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: u3 | u3-pro (default: u3)
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": "u3",
  "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:
    • U3: M Tokens
    • U3 Pro: M Tokens

For detailed pricing, visit: https://unifuncs.com/pricing

Support

Maintainer Release Checklist

Before documenting new tools in the npx setup section, make sure the npm package has been published and smoke-tested.

  1. Bump the package version.
  2. Install dependencies and run npm run build.
  3. Publish the package to npm.
  4. Verify npm view @unifuncs/ufn-mcp-server version matches the intended release.
  5. Verify npx -y @unifuncs/ufn-mcp-server exposes the same tools described in this README.
  6. Update the changelog and README after the npm release is available.

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

README fetched from the repository 6 days ago. The original is authoritative.

Questions

About ufn-server

How do I install ufn-server?

Run npx @unifuncs/ufn-mcp-server, then add the server to your MCP client's configuration.

Is ufn-server safe to use with an AI agent?

Its trust score is 51 out of 100 (fair). It passes 3 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is ufn-server still maintained?

Yes — the last commit was a month ago. The repository has 11 stars and 4 forks and 1 open issues.