Skip the install. Get this working in under 2 minutes.
Start a free trial on cloud.anythingmcp.com, add the Freshchat 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.
Summary
Manage Freshchat (live chat + messaging: users, conversations, messages, channels, agents) from any AI agent. 9 tools, Bearer token.
Try asking
Example prompts for Freshchat
Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.
Claude is AI and can make mistakes. Please double-check responses.
💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → Freshchat, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
Freshchat + Gemini
Manage Freshchat (live chat + messaging: users, conversations, messages, channels, agents) from any AI agent. 9 tools, Bearer token.
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:
FRESHCHAT_API_TOKEN
Step 1 — Get credentials
This connector wraps the Freshchat API v2 (per-region — api.freshchat.com/v2).
Setup:
- Log into your Freshchat portal → ⚙️ → Account Settings → API Tokens → Generate Token.
- Note your region — Freshchat hosts data per region:
api.freshchat.com(US),api.eu.freshchat.com(EU),api.au.freshchat.com(AU),api.in.freshchat.com(IN). Change baseUrl to match. - Set
FRESHCHAT_API_TOKEN.
Authentication: Authorization: Bearer ${FRESHCHAT_API_TOKEN}.
Conversation model: User → Conversation → Messages[]. A conversation is associated with at most one user; messages carry actor + actor_type (user, agent, system).
…(continued in the in-app connector instructions)
Step 2 — Install the adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Step 3 — Add the connector in Gemini
Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (
https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide showsYOUR_SERVER_ID.
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/YOUR_SERVER_ID",
"headers": { "X-API-Key": "YOUR_MCP_API_KEY" }
}
}
}
- Get your MCP API key from AnythingMCP → MCP Servers → your server → API keys.
- Save the file and restart
gemini. - Run
/mcpinside the Gemini CLI —Freshchatshould be listed as available. - Vertex AI Studio: pass
https://cloud.anythingmcp.com/mcp/YOUR_SERVER_IDto thetoolsarray of your request with the sameX-API-Keyheader.
Available tools
| Tool | What it does |
|---|---|
freshchat_list_users | List users (end-customers) |
freshchat_get_user | Get one user by ID with profile + properties + tags |
freshchat_create_user | Create an end-user |
freshchat_list_conversations | List conversations of a user |
freshchat_get_conversation | Get one conversation with status + assigned agent + recent messages |
freshchat_send_message | Post a message into a conversation |
freshchat_update_conversation | Update a conversation's status, assigned agent, group, or tags |
freshchat_list_agents | List agents (staff) |
freshchat_list_channels | List channels (topics) — the conversation routing targets |
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 custom headers.
Next steps
Was this guide helpful?
