moodle-mcp-server: Ask your AI assistant about Moodle coursework and grades
moodle-mcp-server, developed by Jawadh Salih, is an open-source MCP server that lets Moodle users query academic data using conversational AI assistants. The tool maps common student questions into assistant responses so users can request course overviews, grade status, assignment lists, deadline checks, and notifications in plain language. Primary features include course listing, grade tracking, assignment visibility, deadline monitoring, and notification reading. Students and educators who use Moodle gain conversational access to academic status and schedules.
How the server plugs Moodle into the Model Context Protocol
The server implements the Model Context Protocol to expose Moodle information to MCP-compatible clients. It queries Moodle via the platform's Web Services interface and packages returned records as MCP context that an assistant can consume, so the assistant produces context-aware replies. The project also serves as a reference implementation for developers who want an MCP server pattern that integrates an LMS without modifying Moodle itself.
Performance and deployment emphasize low-latency, single-binary operation
Written in Go, the server compiles to a standalone binary for straightforward deployment across Windows, macOS, and Linux. The developer notes the Go implementation for stability and performance, which reduces runtime footprint compared to interpreted runtimes. This design makes the server suitable for modest hosting environments and for developers who prefer a single executable to run alongside other campus services.
Input requirements and permission constraints determine available actions
Using the server requires a Moodle instance with the Mobile Web Service enabled and a valid Moodle API token from the user's profile security keys. The token's permissions control what data and actions the server can access; advanced administrative operations such as grading depend on those API scopes. The server works with MCP-compatible clients such as Claude Desktop, Cursor, or LobeChat to surface the results conversationally.
Best fit and practical limits for classrooms and developer experimentation
The project targets students and educators who want conversational read-access and developers seeking a Go-based MCP example. It is recognized in MCP registries like LobeHub for turning Moodle data into assistant context. Practical limits include dependency on institutional Moodle settings and token scopes, so treat the server as an information interface for classroom workflows rather than a substitute for Moodle's administrative consoles.
A practical option for read-oriented Moodle workflows and developer experiments
The server is a practical option for students and developers who need conversational access to Moodle information; it suits read-oriented workflows and experimental MCP projects. Expect the tool to surface summaries and statuses rather than perform institutional administration. For tasks that change grades or submissions, validate permissions and perform the final action inside the LMS rather than relying solely on assistant output.
Pros
Implements the MCP standard for compatibility with MCP clients
Student-focused design surfaces academic status conversationally
Go implementation enables single-binary deployment across major platforms
Cons
Requires institution to enable Moodle Mobile Web Service feature
Available actions depend on the Moodle API token's permissions
Not intended as a full administrative interface for grading
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