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Generates and publishes the digital control document mandatory for road freight transport in Spain. Compliant with Law 9/2025 (5 Oct 2026).
Add attachments by drag and drop directly to native Dolibarr attachment controls, with eight configurable behaviors and no core modification.
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MCP+ connects Claude, ChatGPT and other AI assistants straight to your Dolibarr. Just ask: Which tickets still need an answer?, Show me the unpaid invoices for Miller Ltd — and your assistant works on your real data instead of copy-paste. No extra server, no data handed to third parties: it runs in your own Dolibarr, with clear rights per connection and a full audit log.
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MCP+ connects AI assistants like Claude and ChatGPT directly to your Dolibarr — secure, fully auditable and without a single additional server process.
The server speaks the Model Context Protocol (MCP), the open standard AI clients use to access business data. Whether Claude Desktop, Claude Code, claude.ai in the browser or ChatGPT: the assistant sees your tickets, customers, invoices and projects — with exactly the permissions you grant, and not one more.
MCP+ runs as a regular Dolibarr module inside your existing installation. There is no external Python or Node server, no bridge, no cloud middle layer — and therefore a whole class of failure points and attack surface less.
Full coverage of the key business objects — reading and (switchable per token) writing:
Every request passes a fixed chain of security checks before a single record is read:
Cloud clients cannot store static headers — so MCP+ ships a complete OAuth 2.1 authorization server:
You can always see what an AI client did in your system:
One code base, many environments:
Typical MCP integrations for Dolibarr are external server processes (usually Python/Node) accessing the REST API with a single API key. The difference at a glance:
| MCP+ | External MCP servers / REST bridges | |
|---|---|---|
| Installation & operation | Enable the Dolibarr module — runs inside the existing web server | Separate process with a Python/Node environment that must be installed, started, monitored and updated |
| Authentication | Per-client tokens (hash-only storage) plus OAuth 2.1 with consent | One Dolibarr API key in plaintext in a configuration file |
| Permissions & restrictions | Service user rights, scopes per token, read-only mode, expiration, per-token IPs | Full access of the API key user — all or nothing |
| claude.ai / ChatGPT (cloud) | Yes — built-in OAuth 2.1 server with a separate IP whitelist | Usually no — local stdio servers are unreachable from the cloud |
| Audit & control | Full audit log with UI, rate limiting, instant revocation | At best the log files of the intermediate process |
| Data fidelity | Direct object access including business logic, triggers and entity filters | REST detours with custom mapping — deviations and gaps depending on the implementation |
| Updates | Updates together with the Dolibarr instance, one code base for V20-V24 | Separate release cycle, compatibility with the Dolibarr version must be verified manually |