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Start a free trial on cloud.anythingmcp.com, add the EspoCRM 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
EspoCRM open-source CRM: accounts, contacts, leads, opportunities, cases, calls, meetings and tasks, plus a generic entity route for custom entities. API-key auth against your own instance.
Try asking
Example prompts for EspoCRM
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 → EspoCRM, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
EspoCRM + Gemini
EspoCRM open-source CRM: accounts, contacts, leads, opportunities, cases, calls, meetings and tasks, plus a generic entity route for custom entities. API-key auth against your own instance.
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:
ESPOCRM_URL, ESPOCRM_API_KEY
Step 1 — Get credentials
Getting a key
- In EspoCRM go to Administration → API Users and create an API user. Choose API Key authentication (not HMAC — this adapter sends the plain key).
- Assign a role that grants read access to the entities the agent should see. EspoCRM enforces roles per entity and per field, so a restricted role produces fewer rows and fewer columns rather than an error.
- Copy the generated key into
ESPOCRM_API_KEYand setESPOCRM_URLto your instance root (no trailing slash, no/api/v1).
The header is X-Api-Key.
…(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 —EspoCRMshould 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 |
|---|---|
espocrm_get_app_user | Read the API user this key belongs to, with their roles and the entity permissions they carry |
espocrm_list_entities | List records of any entity type with a single where clause |
espocrm_get_entity | Read one record of any entity type by id, with every attribute the API user's role permits |
espocrm_list_accounts | List accounts — the customer companies — with their name, industry, website, phone, billing city and assigned user |
espocrm_list_contacts | List contacts with their name, account, e-mail, phone and title, to find the person before logging an interaction against them |
espocrm_list_opportunities | List opportunities with their name, account, amount, stage, probability and close date — the sales-pipeline view |
espocrm_list_leads | List leads with their name, company, status, source, e-mail and phone — the top of the funnel, before conversion into an account |
espocrm_list_cases | List support cases with their number, subject, status, priority, account and assigned user |
espocrm_get_related | List the records linked to one record — the contacts on an account, the opportunities on a contact, the activities on anything |
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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