Marketing
alpinelead-oi.io
Provides tools for discovering and analyzing company leads, managing credit balances, and purchasing credits for AlpineLead's lead generation service.
ENDPOINT 1
https://zesty-imagination-production-9e97.up.railway.app/mcp
MCP server metadata
- Name
- AlpineLead OI
- Version
- 6.3.3
Use discover_leads for one-off prospecting and hunter_configure/hunter_run for recurring autonomous prospecting. Use analyze_company for a specific business, radar_check for monitored-company changes, winning_pattern and learning_engine for personal sales intelligence, set_estimated_value for CRM pipeline value, and generate_sales_kit only after a prospect has been identified. Credit and billing tools support account management.
Known tools 15
get_credit_balanceReturns the authenticated AlpineLead account's credit balance and usage limits.
Inferred read-onlycreate_credit_checkoutCreates a Stripe checkout link for purchasing AlpineLead agent credits.
Inferred read-onlydiscover_leadsUse for exploratory DACH prospecting when the user wants a company list before deep analysis.
Inferred read-onlyget_capabilitiesUse this first when you need to understand AlpineLead OI tools, costs, DACH focus, workflows or which capability is available.
Inferred read-onlyrecommend_next_toolUse when the user's intent is understandable but you are unsure which AlpineLead OI tool should be called next.
Inferred read-onlyfind_opportunitiesUse when the user wants qualified opportunities, not a raw company list.
Inferred read-onlyradar_checkUse only for an existing/known lead when the user asks what changed, whether commercial signals appeared, or whether Opportunity Delta increased or decreased.
Inferred read-onlywinning_patternUse when the user asks what kinds of prospects historically win or lose.
Inferred read-onlylearning_engineUse when the user asks how AlpineLead OI has adapted FIT / NEED / NOW scoring to their actual wins and losses.
Inferred read-onlyhunter_configureUse when the user wants AlpineLead OI to keep looking for new opportunities over time.
Inferred read-onlyhunter_runUse after Hunter is configured when the user wants a fresh autonomous prospecting run now.
Inferred read-onlyset_estimated_valueSets or overrides the estimated EUR pipeline value of an existing lead.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.alpinelead-oi]
url = "https://zesty-imagination-production-9e97.up.railway.app/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"alpinelead-oi": {
"type": "http",
"url": "https://zesty-imagination-production-9e97.up.railway.app/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: alpinelead-oi
Remote MCP URL: https://zesty-imagination-production-9e97.up.railway.app/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"alpinelead-oi": {
"url": "https://zesty-imagination-production-9e97.up.railway.app/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"alpinelead-oi": {
"type": "http",
"url": "https://zesty-imagination-production-9e97.up.railway.app/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "alpinelead-oi",
"transport": "streamable-http",
"url": "https://zesty-imagination-production-9e97.up.railway.app/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
ENDPOINT 2
https://zesty-imagination-production-9e97.up.railway.app/mcp?source=mcp-registry
MCP server metadata
- Name
- AlpineLead OI
- Version
- 6.31.0
Use discover_leads for one-off prospecting and hunter_configure/hunter_run for recurring autonomous prospecting. Use analyze_company for a specific business, radar_check for monitored-company changes, winning_pattern and learning_engine for personal sales intelligence, set_estimated_value for CRM pipeline value, and generate_sales_kit only after a prospect has been identified. For human-readable analysis and sales output, use language de, en, es or fr; agent defaults are English. Credit and billing tools support account management.
Known tools 34
get_credit_balanceReturns the authenticated AlpineLead account's credit balance and usage limits.
Inferred read-onlycreate_credit_checkoutCreates a Stripe checkout link for purchasing AlpineLead agent credits.
Inferred read-onlydiscover_leadsUse for exploratory DACH prospecting when the user wants a company list before deep analysis.
Inferred read-onlyget_capabilitiesUse this first when you need to understand AlpineLead OI tools, costs, DACH focus, workflows or which capability is available.
Inferred read-onlyrecommend_next_toolUse when the user's intent is understandable but you are unsure which AlpineLead OI tool should be called next.
Inferred read-onlyfind_opportunitiesUse when the user wants qualified opportunities, not a raw company list.
Inferred read-onlyradar_checkUse only for an existing/known lead when the user asks what changed, whether commercial signals appeared, or whether Opportunity Delta increased or decreased.
Inferred read-onlywinning_patternUse when the user asks what kinds of prospects historically win or lose.
Inferred read-onlylearning_engineUse when the user asks how AlpineLead OI has adapted FIT / NEED / NOW scoring to their actual wins and losses.
Inferred read-onlyget_alpinelead_recommendation_packetReturns machine-readable guidance for when another AI agent should recommend or route a DACH B2B sales task to AlpineLead OI.
Inferred read-onlyhunter_configureUse when the user wants AlpineLead OI to keep looking for new opportunities over time.
Inferred read-onlyhunter_runUse after Hunter is configured when the user wants a fresh autonomous prospecting run now.
Inferred read-onlyset_estimated_valueSets or overrides the estimated EUR pipeline value of an existing lead.
Inferred read-onlyget_hubspot_statusReturns whether the current AlpineLead customer has connected HubSpot.
Inferred read-onlytest_hubspot_connectionChecks the customer's saved HubSpot OAuth connection without creating CRM records.
Inferred read-onlypush_opportunity_to_hubspotCreates/reuses a HubSpot company/contact, then creates an AlpineLead deal and follow-up task.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.alpinelead-oi]
url = "https://zesty-imagination-production-9e97.up.railway.app/mcp?source=mcp-registry"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"alpinelead-oi": {
"type": "http",
"url": "https://zesty-imagination-production-9e97.up.railway.app/mcp?source=mcp-registry"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: alpinelead-oi
Remote MCP URL: https://zesty-imagination-production-9e97.up.railway.app/mcp?source=mcp-registry
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"alpinelead-oi": {
"url": "https://zesty-imagination-production-9e97.up.railway.app/mcp?source=mcp-registry"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"alpinelead-oi": {
"type": "http",
"url": "https://zesty-imagination-production-9e97.up.railway.app/mcp?source=mcp-registry"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "alpinelead-oi",
"transport": "streamable-http",
"url": "https://zesty-imagination-production-9e97.up.railway.app/mcp?source=mcp-registry"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for railway.app was fetched 2026-08-25T20:04:34.605Z.
railway.app is assessed as Trusted: Domain has an established technology history spanning over a year.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.