MarcoPolo MCP Server
MarcoPolo is an MCP-first enterprise AI data platform. Its product surface IS a hosted, remote MCP server that lets any MCP client (Claude, ChatGPT, Cursor, Codex, or a custom agent) connect governed enterprise data sources into a sandboxed workspace, run queries, and cache results in DuckDB - "without the leaks." Operated by Immersa.
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Endpoint
Hosted endpoint · transport streamable-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
install_demo_connection— Deploy demo datasets so a client can begin querying immediately.connection_list— Enumerate the data-source connections available to the workspace.connection_describe— Inspect a connection's table/schema metadata.connection_query— Execute a query file against a data source; full result cached in DuckDB.workspace_shell— Run CLI commands within the sandboxed workspace.connection_setup— Generate a secure credential-configuration link for a new connection.
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.