Server data from the Official MCP Registry
Contextual prompts and agent skills for 140+ AI platforms.
About
Contextual prompts and agent skills for 140+ AI platforms.
Remote endpoints: streamable-http: https://prompeteer.ai/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 2 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
Prompeteer MCP Server
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:
{
"mcpServers": {
"prompeteer": {
"url": "https://prompeteer.ai/mcp"
}
}
}
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:
{
"mcpServers": {
"prompeteer": {
"command": "npx",
"args": ["-y", "@prompeteer.ai/mcp-server@2.0.3"]
}
}
}
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.
npx @prompeteer.ai/mcp-server@2.0.3
npx @prompeteer.ai/mcp-server@2.0.3 --help
npx @prompeteer.ai/mcp-server@2.0.3 --json
npx @prompeteer.ai/mcp-server@2.0.3 --version
--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.
Prompeteer reports 12,000+ users across 160 countries and supports 129 languages. These company facts were approved for publication in September 2026.
Registry and source
The official MCP registry lists the server as io.github.prompeteer/prompeteer-mcp. This is separate from first-party connector directories.
server.json describes both the npm stdio bridge and the hosted Streamable HTTP endpoint. Its registry description uses the canonical tagline because the registry limits descriptions to 100 characters. The full description is preserved in publisher metadata. .mcp/server.json is an identical compatibility copy.
Version 2.0.3 adds a working stdio bridge and corrects stale setup instructions. Earlier npm 2.0.0 printed setup instructions and exited, even though registry versions 2.0.0 through 2.0.2 advertised it as a stdio transport. The hosted endpoint remains https://prompeteer.ai/mcp.
Repository manifests for Cursor and Gemini CLI
plugin.json and mcp.json provide the portable Agent Plugins format supported by Cursor. After installing the plugin through Cursor, connect Prompeteer and complete browser sign-in. The direct Cursor configuration above also works as a manual setup format. Generated skills are returned as content; connecting does not run or install a generated skill.
gemini-extension.json provides a Gemini CLI extension using the hosted HTTP endpoint and OAuth discovery. Once the manifest is available in the public repository, install with:
gemini extensions install https://github.com/prompeteer/prompeteer-mcp
Restart Gemini CLI and complete the Prompeteer connection when prompted. Generation and scoring can consume account quota; requested saves write to your PromptDrive.
These manifests have been structurally validated. Installation and OAuth in the actual Cursor and Gemini CLI applications have not been tested for this release. Their presence does not establish a marketplace listing or platform approval. See the Cursor plugin documentation and Gemini extension reference.
Plugin source for Claude Code, Cowork and Grok Build
.claude-plugin/plugin.json supplies plugin metadata and .mcp.json connects the client directly to https://prompeteer.ai/mcp over HTTP. This plugin contains one remote MCP connection. It adds no local command, hook, skill, agent, or shell execution. It does not start the npm bridge or install its runtime dependencies.
For a local Claude Code check after cloning this repository:
claude plugin validate .
claude --plugin-dir .
Use /mcp in Claude Code to complete the Prompeteer OAuth connection. For Grok Build, the repository can be installed through a marketplace entry that pins its exact public commit. Marketplace submission, listing, and functional client testing are separate outcomes; these source files alone do not establish any of them.
Network access and account permissions
The client contacts https://prompeteer.ai/mcp and Prompeteer's OAuth discovery, registration, authorization and token endpoints on https://prompeteer.ai. Prompeteer sign-in may redirect to the identity provider selected by the user. Credentials remain in the client's supported OAuth flow; the plugin contains no tokens, API keys or environment-variable readers.
A Prompeteer account is required. Tool availability depends on the authenticated account, approved scopes and plan allowances. PromptDrive tools read or save account records; Memory tools access the user's Prompeteer Memory when enabled and authorized. Memory refers to Prompeteer's stored sources, not the host assistant's memory or conversation history. Generation and scoring can consume quota, and successful generation automatically saves its result to PromptDrive as part of the service workflow. The actual returned savedToVault and promptId fields indicate the persistence outcome. Generated skills are returned as content; this plugin does not execute them.
Privacy policy
Tool inputs and any requested saved-content or Memory results are processed by the Prompeteer service and returned to the connected client. Prompeteer's backend may use AI providers to carry out generation or scoring. See the published privacy policy for service data practices, terms, and plans. Contact info@prompeteer.com for support or privacy questions. Disconnect the MCP connection in the client when it is no longer needed.
Build and verify from source
Use Node.js 22.14.0 or later. The source lock pins the maintained proxy and its dependencies. Build copies those unmodified runtime files, with their licenses, into the release package.
npm ci --ignore-scripts
npm run build
npm run check
npm test
npm audit
npm pack --dry-run --json --ignore-scripts
The explicit build uses mcp-remote 0.8.6 and patched qs 6.16.0. Tests run protocol forwarding and startup-disconnect checks against local fixtures; they do not generate prompts or make paid service calls. The vendor/ build output is included in npm releases and is not committed to this repository.
Support and license
The bridge wrapper and documentation in this repository are MIT licensed. The hosted Prompeteer platform is proprietary.
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