MCP server · Aquant

Aquant MCP Server (Authenticated)

One-click install for Cursor, VS Code, Claude, and 20+ other MCP clients, powered by API Commons MCP Install — visit install.apicommons.org for more information.

Provider: Aquant Type: Hosted endpoint Transport: http Host: mcp.aquant.ai

Endpoint

https://mcp.aquant.ai/mcp

Hosted endpoint · transport http

Connect

This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):

# mcp client config (e.g. .mcp.json / mcp settings) { "mcpServers": { "aquant": { "url": "https://mcp.aquant.ai/mcp" } } }

For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:

# Add to claude_desktop_config.json { "mcpServers": { "aquant": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.aquant.ai/mcp"] } } }

If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:

curl -i -X POST https://mcp.aquant.ai/mcp \ -H "Content-Type: application/json" -H "Accept: application/json, text/event-stream" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Tools

part_catalog_lookup — Look up part information from the catalog using a triage product ID and a user question.
part_info — Retrieve detailed part information given catalog data from the lookup tool.
part_sources — Retrieve sources for parts given catalog data, model, and question.
agent_data — Retrieve agents and their proficiency scores based on an observation name.
technician_proximity — Retrieve technicians and their proximity to an asset location.
observation_existence — Check if an observation exists in the loaded data.
asset_location — Retrieve the location of an asset based on its ID.
preventive_maintenance_check_list — Generate a preventive maintenance check list for a model or asset.
summary_report — Generate a summary report for a chat history.
next_symptom — Generate a next symptom for an asset based on its ID.
health_check — ### Responses:

About MCP

The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.

Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.

Work with this as data

Every MCP server here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for mcp servers

4 MCP tools reach this

find_mcpBrowse and filter every MCP server in the catalog.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This MCP server

curl "https://apis.io/api/v1/mcp/aquant-mcp-server-authenticated"

All mcp servers

curl "https://apis.io/api/v1/mcp?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.