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Summary
Drive Folk (modern relationship CRM) from any AI agent: people, companies, groups, deals, custom fields. 9 tools, Bearer auth.
Try asking
Example prompts for Folk
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 → Folk, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
Folk + Gemini
Drive Folk (modern relationship CRM) from any AI agent: people, companies, groups, deals, custom fields. 9 tools, Bearer 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:
FOLK_API_TOKEN
Step 1 — Get credentials
folk.app).
Setup:
- Sign in to https://app.folk.app → bottom-left avatar → API & Integrations → API → Generate API token.
- Set
FOLK_API_TOKEN. - Note your workspace's groups — Folk's groups are loose collections (use them like tags).
Authentication: Authorization: Bearer ${FOLK_API_TOKEN}.
People / Companies / Deals: standard CRM objects, plus the relationship-graph idea — every person is linked to one or more companies, plus a free-form network of contacts.
Groups: flexible — Folk's primary segmentation. Add a person to multiple groups; each group has its own custom fields visible only when the person is in that group.
…(continued in the in-app connector instructions)
Step 2 — Install the adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(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 —Folkshould 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 |
|---|---|
folk_me | Return the user the token belongs to |
folk_list_people | List people with cursor pagination |
folk_get_person | Fetch a person by ID with full contact details + groups + companies |
folk_create_person | Create a person |
folk_update_person | Update a person (PATCH) |
folk_list_companies | List companies |
folk_create_company | Create a company |
folk_list_groups | List groups (collections) |
folk_list_group_custom_fields | List custom fields defined on a specific group |
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
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