About Onsa
Find scored B2B leads, read campaign replies and send approved LinkedIn outreach
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://api.onsa.ai/api/mcpclaude mcp add --transport http ai-onsa-onsa https://api.onsa.ai/api/mcp{"mcpServers":{"ai-onsa-onsa":{"type":"http","url":"https://api.onsa.ai/api/mcp"}}}Open in Cursor{"servers":{"ai-onsa-onsa":{"type":"http","url":"https://api.onsa.ai/api/mcp"}}}Open in VS Code{"mcpServers":{"ai-onsa-onsa":{"type":"http","url":"https://api.onsa.ai/api/mcp"}}}{"mcpServers":{"ai-onsa-onsa":{"serverUrl":"https://api.onsa.ai/api/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
16| Parameter | Type | Required | Description |
|---|---|---|---|
| note | string | Yes | |
| title | string | Yes | |
| leadIds | array | Yes | |
| campaignId | string | Yes | |
| includeRationale | boolean | Yes | When true, each person in the snapshot carries a fit rating (1–5, or null when none is stored) and a why-matched explanation; when false, the rating is null and the explanation empty. |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.