MCP server

Onsa Official

ai.onsa/onsa

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Find scored B2B leads, read campaign replies and send approved LinkedIn outreach.

Website

At a glance

Type

MCP server

Publisher

onsa.ai (verified by the MCP Registry)

Status

Working at last check

Tools

16

Token cost

About 7,444 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http onsa https://api.onsa.ai/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.onsa]
url = "https://api.onsa.ai/api/mcp"

Gemini CLI

{"mcpServers":{"onsa":{"httpUrl":"https://api.onsa.ai/api/mcp"}}}

Cursor

{"mcpServers":{"onsa":{"url":"https://api.onsa.ai/api/mcp"}}}

VS Code

{"servers":{"onsa":{"type":"http","url":"https://api.onsa.ai/api/mcp"}}}

Antigravity

agy mcp add onsa https://api.onsa.ai/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"onsa","server_url":"https://api.onsa.ai/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"onsa","server_url":"https://api.onsa.ai/api/mcp"}

Tools

• continue_campaign ~589 tokens
  Sends an instruction to the agent inside an existing campaign and returns a jobId to read with fetch_leads. This is the tool that grows or steers a cohort in place - 'find 5 more like these', 'look at Singapore and the Gulf instead of US institutions', 'focus on funds over $5bn AuM'. find_leads alwa
• create_shortlist ~606 tokens
  Publishes a preview_shortlist snapshot as a link. It requires the previewKey that preview_shortlist returned, and confirmPublic: true. The server itself requests no confirmation from the user: confirmPublic: true records the caller's statement that the user reviewed this snapshot and confirmed publi
• fetch_leads ~734 tokens
  Returns the status and any results of a find_leads or continue_campaign job, by jobId. Status values are "pending", "completed" and "stalled", and `leads` can hold a partial list while "pending". For a find_leads job: "pending" while it has no leads, the agent has not answered and it is under about
• find_leads ~538 tokens
  Starts a live B2B lead search with Onsa's agent, matching real people (with LinkedIn profiles) against the workspace's ICP. Takes a natural-language brief - titles, company type, geography, e.g. 'find 5 fintech founders in NYC'. Returns a jobId immediately, with campaignUrl and a `progress` note. Th
• get_campaign ~352 tokens
  Returns one campaign's ICP - the ideal-customer profile the agent derived and scores leads against - plus its outreach template and settings. The ICP comes back exactly as stored, in snake_case: `perfect_lead` and `reachable_market` are one-line summaries, while `company` and `person` hold the rules
• get_campaign_leads ~398 tokens
  Returns the leads of any campaign by campaignId, with the same fields as fetch_leads, including score and scoreExplanation. It covers campaigns not started in this session, which fetch_leads cannot reach because fetch_leads requires a jobId from a find_leads call in the same session. Passing `leadId
• get_campaign_stats ~627 tokens
  Returns the outreach funnel for one campaign: invites sent, invites accepted, messages sent, and replies split into positive / negative / other by sentiment. LinkedIn and email are merged, as on Onsa's Overview page. These count leads rather than actions - a lead invited twice counts once - so where
• get_lead_memo ~273 tokens
  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. It is usually far richer than scoreExplanation, and it is the source material for outreach built on a specific, checkable fact rather than a generic
• list_campaigns ~305 tokens
  Lists the campaigns (past lead searches) in this workspace that the user takes part in, newest first. Returns the newest `limit` of them, default 50; `returned` against `total` shows whether older campaigns were omitted. Each entry has id, title, leadsTotal, hasIcp, tags, createdAt and updatedAt. An
• list_next_steps ~518 tokens
  Returns read-only guidance for what to do next. Without campaignId, it returns the first-search question, active search progress, or campaign names and statuses to choose from. A single accessible campaign is resolved automatically. With campaignId, it returns a ranked to-do list: people who replied
• list_pending_outreach ~340 tokens
  Lists outreach messages the agent has drafted that are waiting for a human to approve - the 'a message for X is ready' queue. Each entry carries the draft text, the lead it is for, and why that lead scored as it did. Without campaignId, the list covers every campaign in this workspace that the user
• list_replies ~620 tokens
  Returns the text of what prospects replied, for every lead in the campaign that answered, paired with the outbound message it answers. get_campaign_stats counts replies and labels them; this returns the words. `sentiment` is Onsa's own label, written once per lead on their first reply - later replie
• preview_shortlist ~458 tokens
  Prepares a preview of 1–50 selected prospects from a campaign the user takes part in, and publishes nothing. The snapshot holds a list title, which is the campaign's name, the note, and for each person only a name, role, company, LinkedIn profile and, when includeRationale is true, a fit rating and
• revoke_shortlist Changes accounts · ~168 tokens
  Revokes a list link by the id create_shortlist returned; only the user who created the link can revoke it. Future views stop immediately; previously copied or downloaded information cannot be recalled.
• rewrite_outreach ~409 tokens
  Replaces the text of an outreach draft that is waiting for approval. The current draft and the lead's scoreExplanation come from list_pending_outreach; get_lead_memo carries the richer research on that person. The rewritten draft stays in the approval queue, and this tool sends nothing. LinkedIn fol
• send_outreach Sends messages · ~509 tokens
  Queues one already-approved outreach draft for delivery to a real person on LinkedIn. It requires `confirmText`, the draft body character-for-character as stored, and `confirmName`, the recipient's name: drafts are often near-identical between people, so matching the body alone does not identify whi

Browse

• Email
• Social media
• To-do lists
• Email marketing

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