prompeteer/prompeteer-mcp

Contextual prompts and agent skills for 140+ AI platforms.
Prompeteer generates contextual prompts and agent skills tuned to the model you are actually using, across 140+ AI platforms and 129 languages. Every prompt gets a 16-dimension Prompt Score, and skills get a Skill Score. Saved prompts live in PromptDrive and roam across platforms. Free to start.
Connect to the hosted server
| Setting | Value |
| --- | --- |
| Endpoint | https://prompeteer.ai/mcp |
| Transport | Streamable HTTP |
| Authentication | OAuth 2.1 with PKCE S256 |
| Connection guide | prompeteer.ai/connect |
Use a client that supports remote MCP and OAuth discovery. Add the endpoint in its remote-server settings and complete the browser sign-in. Access depends on the account, plan, consented scopes, and client support.
For Cursor, add this entry to .cursor/mcp.json:
Other clients have their own configuration formats. Use the connection guide for client-specific setup.
Connect through the npm stdio bridge
For clients that launch local MCP commands, use Node.js 22.14.0 or later and add:
The command runs a stdio bridge to the same hosted Prompeteer endpoint. It uses the pinned mcp-remote 0.8.6 proxy for Streamable HTTP and OAuth. The client opens a browser for sign-in when authorization is needed. The local bridge does not run Prompeteer's generation models or product service.
The endpoint and OAuth resource are fixed to https://prompeteer.ai/mcp. The wrapper uses a loopback OAuth callback, runs without a shell, and forwards MCP messages through stdout. Connection diagnostics use stderr. It does not accept arbitrary endpoints, authentication headers, or debug flags. Native remote clients can use the direct URL without installing the bridge.
--json prints the direct remote configuration for Cursor. --help and --version do not start a connection.
OAuth credentials are managed by mcp-remote, using its local ~/.mcp-auth cache by default. On POSIX systems, new credential files are written with mode 0600. The bridge does not add its own token store. The package includes the tested proxy runtime and the patched query parser used by its callback server. Client installation does not resolve a different proxy dependency tree.
Capabilities
| Tool family | Examples |
| --- | --- |
| Prompt and skill generation | generate_prompt, generate_skill |
| Prompt Score | score_prompt |
| PromptDrive | list_prompts, get_prompt, save_to_promptdrive |
| Private Memory | list_memory_sources, search_memory, get_memory_page, ask_memory, get_memory_settings, update_memory_settings |
Skills receive a Skill Score as part of the skill workflow; score_skill is not a separate advertised MCP tool. Discover the current tool schemas through the authenticated server. Generation, scoring, writes, and private Memory operations may require additional scopes or consume plan allowances.
Example: “Generate a prompt for a product launch email in Claude. Show its Prompt Score, then save the approved version to PromptDrive.”
Authentication
The server advertises OAuth metadata and requests the scopes needed for authorized work. Keep credentials in the MCP client's managed authentication flow.
| Scope | Purpose |
| --- | --- |
| mcp:read | Read prompts and vault metadata |
| mcp:write | Save prompts |
| mcp:generate | Generate prompts and skills |
| memory:read | Read private Memory |
| memory:write | Update Memory settings |
OAuth metadata and protected resource metadata are publicly discoverable. An unauthenticated MCP request returns HTTP 401 until you sign in.
Pricing and public facts
Free to start. See current plans and allowances.