Koskamo

ToFlow MCP

An MCP server that connects AI assistants to the toflow.ai workspace, enabling automated prospecting, multi-channel outreach via email, LinkedIn, and WhatsApp, contact enrichment, CRM management, and AI-driven sales workflows.

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

ToFlow MCP logo, by toflow.aiCommunity listingStreamable HTTPOAuth sign-inEndpoint checked 2026-11-07Published by toflow.ai
You need:A toflow.ai account — sign up free
MCP endpoint (Streamable HTTP)
https://mcp.toflow.ai/mcp
Vendor documentation

Checks and signals

Each line is separate evidence, not a trust score.

  • Passed Endpoint answered the live check ·
  • Availability 1 of 1 checks passed in 30 days

What you can do with it

  • Search for prospects using Sales Navigator-style filters
  • Build multi-step outreach sequences across email, LinkedIn, and WhatsApp
  • Enrich contacts with verified emails and phone numbers
  • Manage CRM records including people, companies, and deals

Source and maintenance

Community listingRegistry 0.0.1
mcp-registry: io.github.toflow-ai/toflow@0.0.1Source repository
Maintenance checked

Tools

Reported by the attributed source; not independently observed by Koskamo.

No tool definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
444 ms
95th percentile latency
444 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 444 ms · metadata changed · refuses unauthenticated initialize (HTTP 401)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http toflow-mcp https://mcp.toflow.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add toflow-mcp --url https://mcp.toflow.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable toflow-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "toflow-mcp": {
      "url": "https://mcp.toflow.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "toflow-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.toflow.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start toflow-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "toflow-mcp": {
      "type": "http",
      "url": "https://mcp.toflow.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http toflow-mcp https://mcp.toflow.ai/mcp

Claude Desktop

Open Claude Settings > Connectors > Add custom connector, enter this server URL and enable it for the conversation. This is a manual remote-connector handoff, not a desktop JSON configuration.
Claude Desktop configuration
https://mcp.toflow.ai/mcp

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "toflow-mcp": {
      "serverUrl": "https://mcp.toflow.ai/mcp"
    }
  }
}

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