# AI-Powered MCP Discovery
## π― The Better Approach
**You're absolutely right!** We don't need to wait for the registry. We can discover MCP servers in real-time:
1. **AI searches web** β Finds potential MCP endpoints
2. **Validate URL** β Test if it speaks MCP protocol
3. **Auto-discover** β Find tools and auth requirements
4. **Import** β Add to NCP automatically
---
## π€ AI Discovery Workflow
### Step 1: Search for MCP Endpoints
**User asks AI:**
```
"Search the web for public MCP servers that support HTTP or SSE"
"Find MCP APIs that I can connect to remotely"
"Are there any hosted MCP services available?"
```
**AI uses web search to find:**
- Blog posts announcing MCP endpoints
- GitHub repos with MCP server URLs
- Company APIs with MCP support
- Developer documentation mentioning MCP
**Example findings:**
```
Found in article: "We're launching MCP support at https://api.example.com/mcp"
Found in GitHub README: SSE endpoint available at https://mcp.service.com/sse
Found in docs: Connect to our MCP at https://api.company.com/v1/mcp
```
### Step 2: Validate Each URL
**AI uses validation tool:**
```bash
node tests/validate-mcp-url.js https://api.example.com/mcp
```
**Tool checks:**
1. β
Can connect to URL?
2. β
Responds to MCP protocol?
3. β
Returns tools list?
4. β
Valid server info?
**If YES** β It's a real MCP!
**If NO** β Skip it
### Step 3: Auto-Discover Configuration
**For each valid MCP:**
```
1. Detect auth type (bearer, oauth, apiKey, none)
2. List available tools
3. Get server capabilities
4. Generate import config
```
### Step 4: Build Import CSV
**AI generates:**
```csv
name,url,description
example-api,https://api.example.com/mcp,Example MCP Service
company-mcp,https://api.company.com/v1/mcp,Company MCP API
service-mcp,https://mcp.service.com/sse,Service MCP (SSE)
```
### Step 5: Batch Import
**User runs:**
```bash
node tests/batch-import-mcps.js ai-discovered-mcps.csv --profile discovered
```
Or **AI imports directly** using internal tools!
---
## π Complete AI Workflow Example
### User Conversation
```
User: "Find me some HTTP/SSE MCP servers I can connect to"
AI: *Searches web*
Found 3 potential MCP endpoints:
1. https://api.example.com/mcp (from blog post)
2. https://mcp.service.com/sse (from GitHub)
3. https://api.test.com/v1/mcp (from docs)
Let me validate these...
AI: *Runs validation tool on each*
β
https://api.example.com/mcp
β’ Valid MCP server
β’ 5 tools available
β’ Requires: Bearer token
β
https://mcp.service.com/sse
β’ Valid MCP server
β’ 8 tools available
β’ Requires: API key
β https://api.test.com/v1/mcp
β’ Not responding / Not an MCP server
User: "Great! Add both valid ones to my profile"
AI: *For each server*
1. Shows confirm_add_mcp prompt
2. User copies credentials to clipboard
3. AI imports using ncp:add
β
Added example-api (bearer auth)
β
Added service-mcp (api key auth)
User: "List my MCPs"
AI: Shows configured MCPs with URLs and auth types
```
---
## π οΈ Tools Created
### 1. URL Validator (`validate-mcp-url.js`)
**Usage:**
```bash
node tests/validate-mcp-url.js <url>
```
**Features:**
- Detects auth requirements
- Attempts MCP protocol connection
- Lists tools if successful
- Reports capabilities
- Suggests import config
**Example:**
```bash
$ node tests/validate-mcp-url.js https://api.example.com/mcp
π Validating MCP URL
URL: https://api.example.com/mcp
Step 1: Detecting authentication requirements...
π Requires: bearer
Step 2: Attempting MCP protocol connection...
β
Connected via MCP protocol
Server Info:
Name: example-mcp
Version: 1.0.0
β
Found 5 tools:
β’ search_api
Search the API database
β’ get_data
Retrieve specific data
...
βββββββββββββββββββββββββββββββββββββββββββββ
π Validation Report
β
VALID MCP SERVER
Summary:
URL: https://api.example.com/mcp
Auth Type: bearer
MCP Protocol: Supported
Server: example-mcp v1.0.0
Tools: 5
β οΈ Requires Authentication
Auth Requirements:
Type: bearer
β’ Bearer Token (required)
Enter your API bearer token
```
### 2. Batch Import (`batch-import-mcps.js`)
Already created! Processes CSV of URLs with auto-discovery.
### 3. AI Integration
**Internal MCP can:**
1. Call web search (if available)
2. Validate URLs using subprocess
3. Import directly using ncp:add
---
## π― Why This is Better Than Waiting
### Registry Limitations
- β Only contains submitted servers
- β Requires manual submission process
- β May lag behind actual deployments
- β Not all companies will submit
### AI Discovery Advantages
- β
Finds servers as they're announced
- β
Discovers from blogs, docs, READMEs
- β
Validates in real-time
- β
No waiting for registry
- β
Can find private/unlisted MCPs
---
## π Immediate Action Plan
### For Users
**Option 1: Manual Search + Validation**
```bash
# 1. Find a potential MCP URL (web search)
# 2. Validate it
node tests/validate-mcp-url.js <url>
# 3. If valid, add to CSV
echo "name,url,description" > found-mcps.csv
echo "my-mcp,<url>,Description" >> found-mcps.csv
# 4. Import
node tests/batch-import-mcps.js found-mcps.csv
```
**Option 2: Ask AI**
```
"Search for MCP servers and add valid ones to my profile"
```
AI will:
1. Search web
2. Validate URLs
3. Import automatically
### For Developers
**If you're hosting an MCP:**
1. Announce your URL publicly (blog, docs, GitHub)
2. AI will find it
3. Users can discover and import automatically
**No registry submission needed!**
---
## π Search Queries That Work
AI can search for:
- "MCP HTTP endpoint"
- "MCP SSE server URL"
- "Model Context Protocol API"
- "MCP remote server"
- "[Company] MCP support"
- "MCP as a service"
Then validate each URL found!
---
## β¨ The Future is Now
**We don't need to wait for:**
- β Registry submissions
- β Official approvals
- β Standardized listings
**We can discover MCPs:**
- β
As they're deployed
- β
From any source
- β
Automatically
- β
Right now
**The unified discovery + AI search + URL validation = Complete MCP discovery system!** π