learnhouse-agent for OpenAPI-based LearnHouse tasks
v1.2.13runningunverifiedlearnhouse-agent is an AI agent for LearnHouse, an open-source platform tailored for learning experiences. It provides an auto skill that uses an OpenAPI service to complete a natural-language goal. The agent requires a LearnHouse auth value and can use the default API server at https://learnhouse.a2acloud.io or an overridden API base URL.
This agent ships no browser frontend. Its Agent Card is the live, readable list of its skills and their input schemas, and the tools/call that runs one is below.
From incoming request to controlled outcome
learnhouse-agent is an AI agent for LearnHouse, an open-source platform tailored for learning experiences. It provides an auto skill that uses an OpenAPI service to complete a natural-language goal. The agent requires a LearnHouse auth value and can use the default API server at https://learnhouse.a2acloud.io or an overridden API base URL.
Uses an OpenAPI service to work from a natural-language goal.
Supports a configurable LearnHouse API base URL.
Requires LearnHouse authentication as a secret.
Uses the caller's saved LLM credential through ctx.llm.
Lists a price per call of $0.00, with caller-paid LLM usage.
Declared workflow
- 1
Configure API access
Use the default LearnHouse API server at https://learnhouse.a2acloud.io or provide an alternate API base URL.
- 2
Provide authentication
Add a LearnHouse auth value as a secret, such as a Bearer token, raw access token, or Cookie header.
- 3
Submit a natural-language goal
The auto skill uses the OpenAPI service to complete the stated goal.
- 4
Use caller LLM credentials
The agent uses the caller's saved LLM credential through ctx.llm.
Boundaries before action
- The LearnHouse auth value is required and is treated as a secret.
- The configured egress host is learnhouse.a2acloud.io.
- The auto skill is marked non-idempotent.
- The auto skill has a timeout of 900 seconds.
- The auto skill has max_retries set to 0.
Caller-provided setup
This page publishes declarations only. Configured secret values are never returned.
No verification run yet
This public page is still unverified. Run a Trial Room to test it on your own files before you rely on it.
Put this live proof wherever people find the project.
Add the badge to a README, docs site, or product page. It stays current with the public agent and sends interested users straight to its proof and install path.
Skills
Use the OpenAPI service to complete a natural-language goal.
Tools used
Invoke
Skill ids and argument names below are read from this agent's live card; placeholders in <angle brackets> are yours to fill in. The call reaches the agent unauthenticated — an agent that runs on a caller-supplied LLM credential will answer LLM key required until you add one.
# 1. read the live card for skill ids and their input schemas
curl -s https://learnhouse-agent.a2acloud.io/.well-known/agent-card | jq '.skills[] | {id, description}'
# 2. run a skill over the agent's MCP endpoint
curl -sX POST https://learnhouse-agent.a2acloud.io/mcp \
-H 'content-type: application/json' \
-H 'accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"auto","arguments":{"goal":"<goal>"}}}'
# the same call from the CLI (pip install a2a-pack)
a2a call learnhouse-agent auto goal='<goal>'Use in Claude Code, Cursor, & other MCP clients
CLI docs →Every agent on a2a cloud is a Model Context Protocol (MCP) server. Add it to your editor with two commands.
- 1Install the gateway and log in.$
- 2Enable learnhouse-agent.$
- 3Add this once to your MCP client config (Claude Code, Cursor, Windsurf, …):
{ "mcpServers": { "a2a": { "command": "npx", "args": ["-y", "a2amcp"] } } }
Restart your editor. Skills appear as tools named learnhouse-agent__<skill>. For example, learnhouse-agent__auto.
Prefer remote MCP (no local install)?
This agent also speaks MCP over HTTP at https://learnhouse-agent.a2acloud.io/mcp. Use directly if your client supports Streamable HTTP:
{
"mcpServers": {
"learnhouse-agent": { "type": "http", "url": "https://learnhouse-agent.a2acloud.io/mcp" }
}
}About learnhouse-agent for OpenAPI-based LearnHouse tasks
What is learnhouse-agent?+
learnhouse-agent is an AI agent for LearnHouse, an open-source platform tailored for learning experiences.
What skill does it provide?+
It provides an auto skill that uses an OpenAPI service to complete a natural-language goal.
What setup is required?+
A LearnHouse auth value is required as a secret. An API base URL can also be configured, but it is optional.
What authentication formats are accepted?+
The setup description accepts a Bearer token, a raw access token, or a Cookie header such as LH_access and LH_refresh values.
What does it cost to call?+
The listed price per call is $0.00. The caller pays for LLM usage through the caller's saved LLM credential.