Example prompts 1
Suggest peaceful freshwater species for a planted 90-liter aquarium.
Client setup guides
Configure OpenAI Agents SDK to use Atlarium through its public remote MCP endpoint.
Compatible with MCP clients that support remote Streamable HTTP servers.
Install
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async with MCPServerStreamableHttp(
name="Atlarium Habitat Database MCP",
params={"url": "https://mcp.atlarium.bio/mcp", "timeout": 10},
cache_tools_list=True,
) as atlarium:
agent = Agent(
name="Habitat planner",
instructions="Use Atlarium for public habitat data. Treat compatibility and tank suggestions as advisory.",
mcp_servers=[atlarium],
)
result = await Runner.run(
agent,
"Suggest peaceful freshwater species for a 90 liter planted tank at 24 C and pH 6.8.",
)
print(result.final_output)Production notes
Use the public read-only endpoint and treat compatibility and planning results as advisory.
Structured aquarium, marine, terrarium and paludarium data for AI agents.
Public read-only tools only; no workspace, user, authentication, administration or write APIs are exposed.
Example prompts
Examples based on catalog lookup, diagnostics, products, compatibility and planning.
Suggest peaceful freshwater species for a planted 90-liter aquarium.
Compare the compatibility of two species and explain the main risks.
Identify likely causes of an algae problem from the observed symptoms.
Public read-only tools only; no workspace, user, authentication, administration or write APIs are exposed.
Back to AtlariumNo. It exposes only read-only tools backed by public Atlarium data.
No. Workspace, account and administration surfaces are outside this server.
No. They are advisory and must be checked against current husbandry conditions.