brightai-public
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.
Endpoint
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, …):
For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:
If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:
Tools
brightai_overview— Who BrightAI is, what the Stateful platform does, canonical platform-scale figures, and the live worldwide opportunity numbers from BrightAI's Global Observability Database (BGOD). Includes press-facts and investor-thesis sections. Start here.list_industries— Every essential-services vertical BrightAI has mapped, each with live anonymized aggregates - addressable annual impact (USD/yr), operators profiled, and observability problem-family count.get_industry— One vertical in depth - live aggregates plus its top observability problem families (names, first-sentence definitions, applicability). Accepts the slug from list_industries or a close industry name.list_problem_families— The canonical catalog of observability problem families BrightAI has mapped worldwide (the public taxonomy). Optionally filter by industry slug or a name substring.get_problem_family— The complete public definition of one observability problem family - formal definition, anatomy (manifestations / measurement / intervention), typical assets, and which verticals it applies to.check_company— Name (or website domain) lookup against BrightAI's Global Observability Database. Returns neutral public facts only - whether the company is profiled, its industry, HQ, a one-line description, and the names and count of observability problem families identified for it. Minor spelling variations are matched automatically; a matched_via "close_spelling" flag marks a did-you-mean correction. Deeper detail is available only to verified employees of the company itself.
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.