Connector guide2-minute read9 MCP toolsEN · DE · IT

How to Connect Salesflare to Gemini — via MCP

Manage Salesflare CRM (contacts, accounts, opportunities, tasks, custom fields, tags) from any AI agent. 9 tools, API key header auth.

HCBy HelpCode teamUpdated 2 min read Open source on GitHub

No credit card · 7-day trial · Self-host alternative available

MCP connector

Salesflare

Manage Salesflare CRM (contacts, accounts, opportunities, tasks, custom fields, tags) from any AI agent. 9 tools, API key header auth.

Tools

9

Region

INTL

Category

CRM

Authentication

API Key

Required env vars

SALESFLARE_API_KEY
Install in one click on Cloud

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  • 7-day free trial
    No credit card required
  • GDPR & SOC 2 ready
    EU data residency, audit logs
  • Open-source on GitHub
    Open source AGPL-3.0
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

Skip the install. Get this working in under 2 minutes.

Start a free trial on cloud.anythingmcp.com, add the Salesflare in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.

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Summary

Manage Salesflare CRM (contacts, accounts, opportunities, tasks, custom fields, tags) from any AI agent. 9 tools, API key header auth.

Try asking

Example prompts for Salesflare

Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.

Salesflare · live via MCP
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Opus 4.7

Claude is AI and can make mistakes. Please double-check responses.

💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → Salesflare, paste your credentials, mint an MCP API key — done. No Docker, no git clone, no local server.

Salesflare + Gemini

Manage Salesflare CRM (contacts, accounts, opportunities, tasks, custom fields, tags) from any AI agent. 9 tools, API key header auth.

Prerequisites

See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:

SALESFLARE_API_KEY

Step 1 — Get credentials

This connector wraps the Salesflare REST API v1 (api.salesflare.com).

Setup:

  1. Log into https://app.salesflare.comSettings → Personal API key → Generate.
  2. Set SALESFLARE_API_KEY.

Authentication: Authorization: ${SALESFLARE_API_KEY} (the API key is sent RAW as the Authorization header value — NOT Bearer X, not Basic X). The adapter wires this as a custom-name API_KEY auth.

Entity model: Account (company) → Contact (person at the account) → Opportunity (deal). Tasks + interactions hang off any of these.

Pagination: limit (max 200) + offset (0-based).

Rate limits: 60 req/min per key. 429 with Retry-After.

…(continued in the in-app connector instructions)

Step 2 — Install the adapter

git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d

Step 3 — Add the connector in Gemini

Gemini CLI reads MCP servers from ~/.gemini/settings.json (or %APPDATA%\gemini\settings.json on Windows). Add:

{
  "mcpServers": {
    "anythingmcp": {
      "httpUrl": "https://cloud.anythingmcp.com/mcp",
      "headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
    }
  }
}
  1. Get your MCP API key from AnythingMCP → Profile → MCP API Keys → New Key.
  2. Save the file and restart gemini.
  3. Run /mcp inside the Gemini CLI — Salesflare should be listed as available.
  4. Vertex AI Studio: pass https://cloud.anythingmcp.com/mcp to the tools array of your request with the same Bearer header.

Available tools

ToolWhat it does
salesflare_list_contactsList contacts
salesflare_get_contactGet one contact with full custom fields + accounts
salesflare_create_contactCreate a contact
salesflare_list_accountsList accounts (companies)
salesflare_create_accountCreate an account (company)
salesflare_list_opportunitiesList opportunities (deals)
salesflare_create_opportunityCreate a deal/opportunity
salesflare_list_tasksList tasks
salesflare_create_taskCreate a task

FAQ

Does Gemini 1.5 Pro or 2.x support MCP? Yes — Gemini CLI ≥ 0.4 and Vertex AI tools API both accept MCP httpUrl connectors with Bearer headers.

Next steps

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