Prompeteer

io.github.prompeteerPublished by GitHub account prompeteerv2.0.3Updated Oct 24, 2026

Contextual prompts and agent skills for 140+ AI platforms.

VerifiedStreamable HTTPWeb executableProductivity & WorkflowKnowledge & MemoryAI & ML

Overview

AI-generated overview

Prompeteer generates contextual prompts and agent skills for 140+ AI platforms, scores them, and saves them to PromptDrive, with private Memory search.

What you can do
  • Generate prompts and agent skills tuned to the model in use, across many platforms and languages
  • Score a prompt on a 16-dimension Prompt Score
  • List, read and save prompts in PromptDrive
  • Search and query private Memory sources, and read or update Memory settings
When to use it
Useful when you want the assistant to draft, rate and store reusable prompts or skills for a specific model, or to look things up in your own Prompeteer Memory while working in a supported MCP client.
Requirements
A Prompeteer account and browser sign-in through OAuth 2.1 with PKCE. Either the hosted Streamable HTTP endpoint or the npm stdio bridge, which needs Node.js 22.14.0 or later and opens a browser for authorization. Network access to the Prompeteer service and its OAuth endpoints.
Before you install
Generation, scoring and Memory operations can consume plan quota, and successful generation is automatically saved to PromptDrive. Saves and Memory settings changes write to your account. Tool inputs and requested results are processed by the Prompeteer service, which may use AI providers. Access depends on the scopes you consent to (mcp:read, mcp:write, mcp:generate, memory:read, memory:write). Generated skills are returned as content and are not executed.

Installation

In SourceWeft

  1. Open Prompeteer in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.prompeteer%2Fprompeteer-mcp/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "prompeteer": {
      "type": "http",
      "url": "https://prompeteer.ai/mcp"
    }
  }
}

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

SettingValue
Endpointhttps://prompeteer.ai/mcp
TransportStreamable HTTP
AuthenticationOAuth 2.1 with PKCE S256
Connection guideprompeteer.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:

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:

json
{  "mcpServers": {    "prompeteer": {      "command": "npx",      "args": ["-y", "@prompeteer.ai/[email protected]"]    }  }}

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.

sh
npx @prompeteer.ai/[email protected]npx @prompeteer.ai/[email protected] --helpnpx @prompeteer.ai/[email protected] --jsonnpx @prompeteer.ai/[email protected] --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 familyExamples
Prompt and skill generationgenerate_prompt, generate_skill
Prompt Scorescore_prompt
PromptDrivelist_prompts, get_prompt, save_to_promptdrive
Private Memorylist_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.

ScopePurpose
mcp:readRead prompts and vault metadata
mcp:writeSave prompts
mcp:generateGenerate prompts and skills
memory:readRead private Memory
memory:writeUpdate 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:

sh
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:

sh
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 [email protected] 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.

sh
npm ci --ignore-scriptsnpm run buildnpm run checknpm testnpm auditnpm 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.

Source: README.md at commit e035a0e

Tools

0
SourceWeft has not read this server's tools yet.

Version history

1
  1. v2.0.3LatestSep 16, 2026

Score

85% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts