An open-source MCP (Model Context Protocol) server that enables AI agents to record and retrieve learning activities through xAPI-compliant Learning
An open-source MCP (Model Context Protocol) server that enables AI agents to record and retrieve learning activities through xAPI-compliant Learning Record Stores. The learnmcp mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 3 defined tools rather than through you.
Everything the assistant can do here goes through one of these:
Prerequisites — Before starting, ensure you have: - Python 3.8 or higher - Access to an xAPI-compliant Learning Record Store (we recommend [LRSInstallation — The Installation tool exposed by this serverConfiguration — LearnMCP-xAPI uses a flexible configuration system supporting both environment variables and configuration filesYou will need 5 environment variables: LRSQL_KEY, LRSQL_SECRET, RALPH_OIDC_TOKEN_URL, RALPH_OIDC_CLIENT_ID, RALPH_OIDC_CLIENT_SECRET. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Before starting, ensure you have: - Python 3.8 or higher - Access to an xAPI-compliant Learning Record Store (we recommend LRS SQL for development) - An MCP-compatible client (such as Claude Desktop)
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
Among the database access options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. LearnMCP's toolset — Prerequisites, Installation, Configuration — is a fair guide to whether it matches your workflow. It is maintained by DavidLMS; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against LearnMCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Prerequisites | Before starting, ensure you have: - Python 3.8 or higher - Access to an xAPI-compliant Learning Record Store (we recommend [LRS SQL](https://github.com/yetanalytics/lrsql) for development) - An MCP-compatible client (suc |
| Installation | The Installation tool exposed by this server. |
| Configuration | LearnMCP-xAPI uses a flexible configuration system supporting both environment variables and configuration files. |
Before starting, ensure you have: - Python 3.8 or higher - Access to an xAPI-compliant Learning Record Store (we recommend LRS SQL for development) - An MCP-compatible client (such as Claude Desktop)
| Variable | Description | Required |
|---|---|---|
| LRSQL_KEY | Credential the server authenticates with. | Yes |
| LRSQL_SECRET | Credential the server authenticates with. | Yes |
| RALPH_OIDC_TOKEN_URL | Credential the server authenticates with. | Yes |
| RALPH_OIDC_CLIENT_ID | Configuration value read at startup. | Optional |
| RALPH_OIDC_CLIENT_SECRET | Credential the server authenticates with. | Yes |
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.