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Ambivo

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Integrates with Ambivo's CRM API to enable natural language querying of leads, contacts, opportuniti...

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Updated Dec 24, 2025
Not audited
Integrates with Ambivo's CRM API to enable natural language querying of leads, contacts, opportunities, and other business objects with secure JWT authentication and multi-tenant support.
  1. Log in to your Ambivo account or admin dashboard (the Ambivo API base URL is referenced as https://goferapi.ambivo.com). (juheapi.com)

  2. Find the API / Developer / Integrations settings (look for sections named “API Keys”, “Developer”, “Integrations”, or “API Tokens”) and create or view an API credential. Ambivo’s MCP server expects a JWT Bearer token for authentication (the README says the token should be a valid JWT from Ambivo API authentication). (juheapi.com)

  3. Copy the credential you obtain:

    • If you are given a JWT token directly, copy that token.
    • If you are given an API key (not a JWT), copy the API key — some Ambivo integrations use API keys which may need to be exchanged for a JWT or accepted directly by the MCP server depending on your Ambivo account. If Ambivo docs show a “generate token” or “exchange API key for token” endpoint, follow that flow to get a JWT. (pipedream.com)
  4. Open the FastMCP connection interface (click your “Install Now” button to add ENVs).

  5. In the FastMCP ENVs form, set the authentication environment variable(s):

    • Preferred: AMBIVO_AUTH_TOKEN = (this name is commonly used for prepopulating the token). (glama.ai)
    • If Ambivo provided only an API key and your deployment expects that, also try AMBIVO_API_KEY = .
    • Do not include extra whitespace or surrounding quotes when pasting the token.
  6. Save/Install via the “Install Now” button in the FastMCP interface to apply the ENV values.

  7. Verify the server/client authentication:

    • If needed, run the MCP tool call to set the token at runtime (use the server’s set_auth_token tool) with the same JWT you added to the ENVs:
      { "tool": "set_auth_token", "arguments": { "token": "" } }. (juheapi.com)
  8. Test a query (for example, call the natural_query tool) to confirm the token works:

    • Example: { "tool": "natural_query", "arguments": { "query": "Show me leads created this week", "response_format": "both" } }. (juheapi.com)
  9. Secure the token: treat it as a secret (do not commit to source control), restrict access in FastMCP to trusted users, and rotate the token per your organization’s security policy.

  10. If you cannot find a way to generate a JWT in your Ambivo dashboard, contact Ambivo support or check Ambivo developer/docs for the “API keys” or “token” generation instructions — some Ambivo integrations expose an API-key-to-JWT exchange in their docs. (pipedream.com)

How to Install Ambivo

Install Ambivo MCP server with one click through FastMCP. Choose your preferred AI development tool below:

Claude Desktop

Click "Claude Desktop" in Quick Start

Cursor IDE

Click "Cursor IDE" in Quick Start

VS Code

Click "VS Code" in Quick Start

Ambivo is an officially maintained MCP server, verified by the FastMCP team.

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