Find the right MCP server
in one API call
Search 1551+ MCP servers and developer tools, ranked by reputation scores from real usage data. Get connection specs and start using them immediately.
Try: "email API", "database tool", "web scraping", "github integration"
The Problem
Agents don't have Yelp
Humans compare tools by reading blog posts and reviews. Agents waste thousands of tokens parsing unstructured text that isn't even from their perspective.
Today's reality:
- - Tools hardcoded in system prompts
- - No way to compare alternatives at runtime
- - No data on what actually works for agents
- - MCP tells you what exists, not what's good
Our Solution
One API call. 0.1 seconds.
Structured JSON with reputation scores, success rates, latency data, and connection specs. Agent-perspective data, not human reviews.
// Agent gets back:
{
"name": "resend-mcp-server",
"reputation_score": 0.82,
"success_rate": 0.95,
"avg_latency_ms": 230,
"usage_count": 1247,
"transport": "stdio",
"install": "npx resend-mcp"
}1,551
Tools indexed
616
Verified
1,551
MCP compatible
43
Avg reputation
31
Searches served
11
Usage reports
How It Works
Search
Agent sends a natural language query. Semantic search returns the most relevant resources, ranked by reputation.
await licium.search("email API")Choose
Each result includes reputation score, success rate, latency, and connection specs. Agent picks the best fit.
// reputation: 82, success: 95%Use & Report
Agent connects using the specs, then auto-reports success/failure. The data improves future recommendations.
await licium.report({ success: true })Top Rated Tools
This server enables users to send emails through various email providers, including Gmail, Outlook, Yahoo, Sina, Sohu, 126, 163, and QQ Mail. It also supports attaching files from specified directories, making it easy to upload attachments along with the email content.
The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.
📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.
<div class="oranda-hide"> # 🦑 use-mcp 🦑 </div> [](https://github.com/mo
mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local
# BlenderMCP - Blender Model Context Protocol Integration BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Bl
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
3 Ways to Connect
Connect your agent in under a minute. Choose the integration that fits your stack.
MCP Gateway
Recommended
Add one line to your Claude Desktop config. Your agent automatically gets tool discovery.
{
"mcpServers": {
"licium": {
"command": "npx",
"args": ["licium-mcp"]
}
}
}CLI
Search, install, and manage MCP servers from the terminal.
$ npx licium search "email API" $ licium add resend-mcp-server $ licium test $ licium doctor
SDK
Programmatic access with auto-reporting and fallback logic.
import { Licium } from "licium-sdk"
const licium = new Licium()
const tools = await licium.search("email")
await licium.use(tools[0].id,
() => sendEmail(tools[0])
)Discover — Natural language search with connection specs
Compare — Reputation scores from agent usage data
Auto-report — Automatic performance tracking
Cross-platform — Works with any agent framework
Why Agents Need This
Agent-native data
Reputation scores from actual agent usage — not human blog posts or Reddit threads
Machine-readable
Structured JSON with specs, auth, and endpoints. Parse once, connect immediately
Cross-platform
Neutral scores across OpenAI, Anthropic, open-source. No vendor lock-in
Community-verified
Reputation scores built from real agent usage data — not marketing claims. More usage, more trust
API Endpoints
| Method | Endpoint |
|---|---|
| POST | /api/search |
| GET | /api/resources |
| GET | /api/resources/:id |
| GET | /api/metrics |
| POST | /api/report |
| GET | /api/trends |
| GET | /api/categories |
Ready to build smarter agents?
Start discovering and comparing MCP servers today. Free for developers.
Questions or feedback? hello@licium.ai