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  3. Prompeteer MCP
Prompeteer MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 5:30:33 PM

Prompeteer MCP

User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
prompt-engineeringaiprompt-libraryoauth

Generate, score, and organize prompts for 140+ AI platforms through an OAuth-protected MCP server.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "prompeteer-prompeteer-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@prompeteer.ai/mcp-server@2.0.3"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (5) Directory Badge Claim listing Alternatives🏒 More in Workplace & Productivity

Overview

Prompeteer generates prompts for text, image, video, audio, and code platforms, then scores them across 16 quality dimensions. It also provides PromptDrive tools for searching, retrieving, and saving prompts. Use it when an agent needs prompt creation, evaluation, or library management.

Use cases

β€’Generate prompts optimized for a specific AI platform
β€’Score a prompt across 16 quality dimensions
β€’Search and filter a PromptDrive library
β€’Retrieve a saved prompt by ID
β€’Save generated prompts to PromptDrive

Key features

β€’Prompt generation for 140+ AI platforms
β€’Quality scoring across 16 dimensions
β€’PromptDrive search, categorization, and auto-tagging
β€’Text, image, video, audio, and code prompt support
β€’Support for 45+ languages
β€’SSE and streamable HTTP transports

Capabilities & Tool Schemas (5) ~76 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Prompeteer MCP.

generate_prompt

Generate an optimized AI prompt for any of 140+ platforms

list_prompts

Browse your PromptDrive library with search and filtering

get_prompt

Retrieve a specific saved prompt by ID

score_prompt

Analyze prompt quality across 16 dimensions

save_to_promptdrive

Save a prompt to your PromptDrive library

Documentation Overview

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:

config.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:

config.json
{
  "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.

Terminal
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 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: β€œGenerate 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:

Terminal
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.

Terminal
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

  • Connection guide
  • Privacy policy
  • Terms of service
  • Issues

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
1d ago
Most recent push to the default branch.
Tools exposed
5
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Prompeteer MCP

It uses OAuth 2.1 with PKCE and supports the mcp:read, mcp:write, and mcp:generate scopes.

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Technical Specs & Signals

Category🏒Workplace & Productivity
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
AuthOAuth
LicenseMIT
ClientsClaude Desktop, Cursor, Windsurf, Cline / VS Code
Last updatedSep 10, 2026
10/11 checks healthy over the last 32d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit1d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 10, 2026
55Quality signal: Good Β· 55/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools27/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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