developer-tools

Prompts.chat

by f

Prompts.chat — proxy to the prompts.chat API offering a searchable prompt library with filtering by keyword, type, categ

Proxy server that forwards requests to the prompts.chat API, providing access to a curated collection of prompts with search and filtering capabilities by keyword, type, category, and tag.

github stars

25

Remote server option — zero setupThousands of curated promptsTemplate variable support

best for

  • / Developers looking for coding prompts and templates
  • / AI users building prompt libraries
  • / Teams sharing and discovering prompt collections

capabilities

  • / Search AI prompts by keyword, category, or tag
  • / Retrieve specific prompts by ID with variable substitution
  • / Save new prompts to your prompts.chat account
  • / Browse prompts using MCP prompts capability
  • / Filter prompts by type and category

what it does

Provides access to a curated collection of AI prompts from prompts.chat with search functionality and template variable support. Lets you discover, retrieve, and save prompts directly in your AI coding assistant.

about

Prompts.chat is a community-built MCP server published by f that provides AI assistants with tools and capabilities via the Model Context Protocol. Prompts.chat — proxy to the prompts.chat API offering a searchable prompt library with filtering by keyword, type, categ It is categorized under developer tools. This server exposes 3 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Prompts.chat in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Prompts.chat is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

prompts.chat

prompts.chat MCP Server

Access thousands of AI prompts directly in your AI coding assistant

Website NPM Version License

--- ## Features - **MCP Prompts** - Browse and use prompts directly via MCP prompts capability - **Search Prompts** - Search for AI prompts by keyword, category, or tag - **Get Prompt** - Retrieve prompt details by ID with variable substitution - **Variable Support** - Prompts with `${variable}` syntax are automatically handled ## 🛠️ Installation ### Requirements - Node.js >= v18.0.0 - An MCP-compatible client (Cursor, Windsurf, VS Code, Claude Code, etc.)
Install in Cursor Add this to your Cursor MCP config file (`~/.cursor/mcp.json`): #### Remote Server (Recommended) ```json { "mcpServers": { "prompts-chat": { "url": "https://prompts.chat/api/mcp" } } } ``` #### Local Server ```json { "mcpServers": { "prompts-chat": { "command": "npx", "args": ["-y", "@fkadev/prompts.chat-mcp"] } } } ```
Install in Windsurf Add this to your Windsurf MCP config file: #### Remote Server (Recommended) ```json { "mcpServers": { "prompts-chat": { "serverUrl": "https://prompts.chat/api/mcp" } } } ``` #### Local Server ```json { "mcpServers": { "prompts-chat": { "command": "npx", "args": ["-y", "@fkadev/prompts.chat-mcp"] } } } ```
Install in VS Code Add this to your VS Code MCP settings: #### Remote Server (Recommended) ```json "mcp": { "servers": { "prompts-chat": { "type": "http", "url": "https://prompts.chat/api/mcp" } } } ``` #### Local Server ```json "mcp": { "servers": { "prompts-chat": { "type": "stdio", "command": "npx", "args": ["-y", "@fkadev/prompts.chat-mcp"] } } } ```
Install in Claude Code #### Remote Server (Recommended) ```sh claude mcp add --transport http prompts-chat https://prompts.chat/api/mcp ``` #### Local Server ```sh claude mcp add prompts-chat -- npx -y @fkadev/prompts.chat-mcp ```
Install in Zed Add this to your Zed `settings.json`: ```json { "context_servers": { "prompts-chat": { "command": { "path": "npx", "args": ["-y", "@fkadev/prompts.chat-mcp"] } } } } ```
## ⚙️ Configuration The local server supports the following environment variables: | Variable | Description | |----------|-------------| | `PROMPTS_API_KEY` | Optional API key for authenticated requests | | `PROMPTS_QUERY` | Optional query string to filter prompts (e.g., `users=a,b&categories=c,d&tags=e,f`) | ### Example with Environment Variables ```json { "mcpServers": { "prompts-chat": { "command": "npx", "args": ["-y", "@fkadev/prompts.chat-mcp"], "env": { "PROMPTS_API_KEY": "your-api-key", "PROMPTS_QUERY": "users=username&categories=coding&tags=productivity" } } } } ``` ## 🔨 Available Tools | Tool | Description | |------|-------------| | `search_prompts` | Search for AI prompts by keyword. Supports filtering by type, category, and tag. | | `get_prompt` | Get a prompt by ID. Supports variable elicitation for prompts with template variables. | | `save_prompt` | Save a new prompt to your account. **Requires `PROMPTS_API_KEY`.** | ## 📚 MCP Prompts This server exposes all public prompts from prompts.chat as MCP prompts. Use `prompts/list` to browse available prompts and `prompts/get` to retrieve them with variable substitution. ## 📖 Example Usage Ask your AI assistant: ``` Search for prompts about code review ``` ``` Get the prompt for "act as a linux terminal" ``` ## 🔗 Links - [prompts.chat](https://prompts.chat) - Browse all prompts - [API Documentation](https://prompts.chat/docs/api) - API reference - [GitHub](https://github.com/f/prompts.chat) - Source repository ## 📄 License ISC

FAQ

What is the Prompts.chat MCP server?
Prompts.chat is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Prompts.chat?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Prompts.chat is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Prompts.chat against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Prompts.chat is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Prompts.chat reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Prompts.chat for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Prompts.chat surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Prompts.chat has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Prompts.chat benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Prompts.chat into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Prompts.chat is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.