eyeot ERP
Server Details
ERP français avec serveur MCP natif : plus de 1 800 actions métier auto-générées via OpenAPI.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- Termi24/ERP-by-Eyeot-Software
- GitHub Stars
- 1
- Server Listing
- eyeot-mcp
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 2.9/5 across 33 of 33 tools scored. Lowest: 1.4/5.
Most tools target distinct resources, but the presence of generic tools like eyeot_call and multiple dashboard-related tools (dashboard_alerts, dashboard_kpis, stock_dashboard) can cause confusion. Several dedicated tools overlap with what eyeot_call could do, and the distinction between search and eyeot_help with search parameter is unclear.
Tool names mix French and English, and use different patterns: verb_noun (list_clients), noun_verb (dashboard_alerts), and prefix (eyeot_call). Some use underscores, others don't. Inconsistent naming conventions and language reduce predictability.
33 tools is high but somewhat justified for a multi-module ERP. However, many dedicated tools might be redundant given eyeot_call and eyeot_help, suggesting over-specification. A more concise set could better serve the same purpose.
The tool set covers major CRM, HR, inventory, and IT modules, but lacks update and delete operations for most resources (e.g., no update_employee, no delete_anything). Missing leave approval, order fulfillment, and other lifecycle actions. The surface is partial.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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