About Oneprofile
Oneprofile is a remote MCP server listing for Oneprofile, a workspace for prospect research and email and LinkedIn outreach. The provided information describes its registry entry and OAuth connection.
Key features
- 01Remote Streamable HTTP server
- 02OAuth sign-in
- 03Listed in the official MCP Registry
Use cases
- 01Connect an MCP client to Oneprofile
- 02Find the Oneprofile server listing
MCP support
Oneprofile provides a remote MCP server at `https://api.getoneprofile.ai/mcp`, using Streamable HTTP and OAuth. Its listing is registered as `ai.getoneprofile/oneprofile` in the official MCP Registry.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://api.getoneprofile.ai/mcpclaude mcp add --transport http ai-getoneprofile-oneprofile https://api.getoneprofile.ai/mcp{"mcpServers":{"ai-getoneprofile-oneprofile":{"type":"http","url":"https://api.getoneprofile.ai/mcp"}}}Open in Cursor{"servers":{"ai-getoneprofile-oneprofile":{"type":"http","url":"https://api.getoneprofile.ai/mcp"}}}Open in VS Code{"mcpServers":{"ai-getoneprofile-oneprofile":{"type":"http","url":"https://api.getoneprofile.ai/mcp"}}}{"mcpServers":{"ai-getoneprofile-oneprofile":{"serverUrl":"https://api.getoneprofile.ai/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEOneprofile in the MCP Registry
server.json lists Oneprofile's remote MCP server, https://api.getoneprofile.ai/mcp (Streamable HTTP, signed in with OAuth), in the official MCP Registry as ai.getoneprofile/oneprofile. The registry holds metadata only. Directories and MCP clients that read from it pick up the listing from there.
See the current listing with:
curl "https://registry.modelcontextprotocol.io/v0.1/servers?search=ai.getoneprofile/oneprofile"
Support
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.