INDIVIDUAL MCP TOOL
get_lead_memo
Returns the research memo Onsa's agent wrote about one lead: role history, company size and stage, what they have said publicly, and the angle on them.
LIVE ENDPOINT
https://api.onsa.ai/api/mcp
Connect to this endpoint to inspect the live schema for get_lead_memo and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
CONNECT 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.onsa]
url = "https://api.onsa.ai/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"onsa": {
"type": "http",
"url": "https://api.onsa.ai/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: onsa
Remote MCP URL: https://api.onsa.ai/api/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": {
"onsa": {
"url": "https://api.onsa.ai/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"onsa": {
"type": "http",
"url": "https://api.onsa.ai/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "onsa",
"transport": "streamable-http",
"url": "https://api.onsa.ai/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
find_leads— Starts a live B2B lead search with Onsa's agent, matching real people (with LinkedIn profiles) against the workspace's ICP.fetch_leads— Returns the status and any results of a find_leads job, by jobId.list_campaigns— Lists the campaigns (past lead searches) in this workspace that the user takes part in, newest first.get_campaign— Returns one campaign's ICP - the ideal-customer profile the agent derived and scores leads against - plus its outreach template and settings.get_campaign_leads— Returns the leads of any campaign by campaignId, with the same fields as fetch_leads, including score and scoreExplanation.continue_campaign— Sends an instruction to the agent inside an existing campaign and returns a jobId to read with fetch_leads.list_pending_outreach— Lists outreach messages the agent has drafted that are waiting for a human to approve - the 'a message for X is ready' queue.rewrite_outreach— Replaces the text of an outreach draft that is waiting for approval.