Skip to main content
Using Claude? The plugin is the recommended path — one install adds the connection and a skill that makes Claude noticeably better at multi-step lead work. Install the Enrichley plugin →
Using ChatGPT? The visual ChatGPT connector guide is the shortest setup and requires no Terminal. If you want the connector and Enrichley workflow skill bundled together, use the early-access ChatGPT plugin.
This page covers direct connector setup for Cursor, VS Code, Codex, and other MCP clients. You will need an Enrichley account on a paid plan.

MCP endpoint

Use this URL wherever your client asks for the MCP server URL:

Client setup

Add the Enrichley server to your Cursor MCP configuration.File: .cursor/mcp.json (project-level) or ~/.cursor/mcp.json (global)
1

Create or edit the config file

Open .cursor/mcp.json in your project root, or ~/.cursor/mcp.json for all projects.
2

Paste the config above

Save the file.
3

Restart Cursor

Restart Cursor, enable the Enrichley server in the MCP/tools panel, and complete the OAuth browser flow when prompted.
Use the project-level config (.cursor/mcp.json) to scope Enrichley to a single repo. Use the global config (~/.cursor/mcp.json) to make it available everywhere.
Need to test the server outside of an AI client? See Debugging with MCP Inspector.

More clients

Beyond the clients above, the Enrichley MCP server has been validated against these additional MCP-compatible clients.
Amazon Q Developer CLI supports remote HTTP MCP servers with OAuth.Config file: ~/.aws/amazonq/mcp.json (global) or .amazonq/mcp.json (workspace)
After saving, start a Q CLI session with an agent that includes this server. Run /mcp — Q CLI will mark the server as “not yet loaded” and provide an authorization URL. Open it in your browser, sign in to Enrichley, and authorize the requested scopes.
Cline supports remote HTTP MCP servers via the streamableHttp transport, including OAuth.Open the Cline panel → Configure → Configure MCP Servers, and add:
On first connect, Cline displays an OAuth URL in VS Code. Click it to complete sign-in in your browser. Cline stores credentials securely and reconnects automatically when you reload.
Gemini CLI supports remote HTTP MCP servers with OAuth via auto-discovery.Config file: ~/.gemini/settings.json (user) or .gemini/settings.json (project)
Gemini CLI auto-detects HTTP transport, falls back to SSE if needed, and discovers the OAuth flow from the server’s protected-resource metadata. On first use it opens your browser for sign-in.
JetBrains AI Assistant supports remote MCP servers with OAuth 2.1 + PKCE in version 2025.2 and newer.Open Settings → Tools → AI Assistant → Model Context Protocol (MCP) and add a new server, or edit the JSON config directly:
When you first invoke an Enrichley tool, the IDE opens your browser to complete the OAuth flow. Tokens are stored and refreshed automatically.
Requires AI Assistant 2025.2 or newer for full OAuth + Streamable HTTP support.
Roo Code’s native streamable-http transport does not yet trigger OAuth flows reliably on a 401 challenge (tracked in Issue #8119). Until that ships, use mcp-remote as a local stdio bridge — it handles OAuth on Roo Code’s behalf.Open Roo Code’s MCP settings and add:
mcp-remote opens your browser for OAuth on first run and caches tokens locally. Once Roo Code adds native OAuth 2.1 support, you can switch to a direct HTTP config.
Zed supports remote HTTP MCP servers with OAuth. Note that Zed uses context_servers in its config (not mcpServers).Open Zed’s settings (Cmd+, on macOS) and add:
When no Authorization header is configured, Zed initiates the standard MCP OAuth flow on first use.
There are open reports of Zed’s OAuth flow not always triggering reliably (Issue #43162). If you hit this, fall back to mcp-remote as a stdio bridge.

Not currently supported

GitHub Copilot Coding Agent cannot be used with the Enrichley MCP server. Per GitHub’s documentation, the Copilot cloud agent does not support remote MCP servers that use OAuth for authentication. We will revisit this when GitHub adds OAuth support.

Other MCP-compatible clients

The Enrichley MCP server works with any client that implements Streamable HTTP transport with OAuth 2.1 + PKCE. If your client meets that bar, point it at https://mcp.enrichley.io/mcp.
Static-API-key client configurations (using a header field like x-api-key) are not supported. The Enrichley MCP server requires OAuth.
If you get it working with a client we haven’t documented, let us know at support@enrichley.io and we’ll add it.

Verify the connection

Ask your AI assistant:
“Check my Enrichley credit balance.”
Your assistant should call the enrichley_get_account_status tool and return your available credits. This call is free. If it works, you’re done. If not, see Troubleshooting.

Optional: give a direct connector the Enrichley workflow

A direct MCP connection supplies Enrichley’s live tools, authentication, and UI. It does not automatically install the using-enrichley skill that ships inside the complete plugin. If your AI client supports personal or custom skills, share the canonical skill source with it and ask whether it can create or install a skill from those instructions:
This is an optional client-specific step, not an automatic GitHub installation flow. Review the generated skill before enabling it. A personal copy is a snapshot and does not update when Enrichley changes; recreate or re-import it to receive newer guidance. The complete Enrichley plugin remains the canonical auto-bundled tools-and-skill package.

Next steps

Tools Reference

See what each tool returns and how credits are counted.

Authentication

Learn how authorization works and how to disconnect.