open-index/open-npm huggingface dataset:
npm package: @fastmcp-me/growthbook-mcp
Description: MCP Server for interacting with GrowthBook
Author: GrowthBook
Latest version: 1.1.0

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# GrowthBook MCP Server

With the GrowthBook MCP server, you can interact with GrowthBook right from your LLM client. See experiment details, add a feature flag, and more.

<a href="https://glama.ai/mcp/servers/@growthbook/growthbook-mcp">
  <img width="380" height="200" src="https://glama.ai/mcp/servers/@growthbook/growthbook-mcp/badge" alt="GrowthBook Server MCP server" />
</a>

## Setup

**Environment Variables**
Use the following env variables to configure the MCP server.

| Variable Name | Status   | Description                                                       |
| ------------- | -------- | ----------------------------------------------------------------- |
| GB_API_KEY    | Required | A GrowthBook API key or PAT. When using a PAT, MCP server capabilities are limited by its permissions. E.g., if the user can't create an experiment in the app, they also won't be able to create one with the MCP server.                                             |
| GB_EMAIL      | Required | Your email address used with GrowthBook. Used when creating feature flags and experiments.|
| GB_API_URL    | Optional | Your GrowthBook API URL. Defaults to `https://api.growthbook.io`. |
| GB_APP_ORIGIN | Optional | Your GrowthBook app URL Defaults to `https://app.growthbook.io`.  |


Add the MCP server to your AI tool of choice. See the [official docs](https://docs.growthbook.io/integrations/mcp) for complete a complete guide.
npm package: @fastmcp-me/jfk-mcp
Description: An MCP server for JFK files
Author: wconvery
Latest version: 1.0.2

[![Add to Cursor](https://fastmcp.me/badges/cursor_dark.svg)](https://fastmcp.me/MCP/Details/597/jfk-assassination-documents)
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# JFK MCP 

This MCP server leverages the Archives API to query JFK documents. You can obtain your API key from [archives-api.com](https://archives-api.com).

Below is the JSON configuration for MCP Claude Desktop. Replace `"your-api-key-here"` with your actual Archives API key.

```json
{
  "mcpServers": {
    "jfk-mcp": {
      "command": "npx",
      "args": ["-y", "jfk-mcp"],
      "env": {
        "ARCHIVES_API_KEY": "your-api-key-here"
      }
    }
  }
}
```

Github: https://github.com/WesternConcrete/jfk-mcp

NPM: https://www.npmjs.com/package/jfk-mcp
npm package: @fastmcp-me/linear-issues-mcp-server
Description: MCP server for Linear issues read-only access
Author: Keegan Carruthers-Smith
Latest version: 0.0.1

[![Add to Cursor](https://fastmcp.me/badges/cursor_dark.svg)](https://fastmcp.me/MCP/Details/659/linear-issues)
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# Linear Issues MCP Server

This is a simple MCP (Model Context Protocol) server that provides read-only access to Linear issues. It allows language models to fetch Linear issues and their associated data using a Linear API token.

## Features

The server provides two tools:

- `linear_get_issue`: Fetches basic details about a Linear issue by URL or identifier
- `linear_get_issue_with_comments`: Fetches complete information about a Linear issue including all comments

## Requirements

- Node.js
- A Linear API token or OAuth access token

## Installation

No installation is needed if you use npx. Just make sure you have Node.js and npm installed.

## Getting a Linear API Token

You can obtain a Linear API token in two ways:

1. **API Key (simplest):** Generate an API key in your [Linear API settings](https://linear.app/settings/api)

2. **OAuth Token:** For more advanced use cases or user-specific access
   - [Create an OAuth2 application in Linear](https://linear.app/settings/api/applications/new)
   - Follow the OAuth flow to get a user access token

## Usage with Claude for Desktop

To use this MCP server with Claude for Desktop:

1. Make sure you have your Linear API token ready
2. Add the server to your Claude for Desktop configuration at:

   - MacOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
   - Linux: `~/.config/Claude/claude_desktop_config.json`
   - Windows: `%AppData%\Claude\claude_desktop_config.json`

Example configuration:

```json
{
  "mcpServers": {
    "linear-issues": {
      "command": "npx",
      "args": ["-y", "@keegancsmith/linear-issues-mcp-server"],
      "env": {
        "LINEAR_API_TOKEN": "your_linear_api_token_here"
      }
    }
  }
}
```

3. Restart Claude for Desktop

## Example Usage

Once the server is set up, you can use it in Claude to interact with Linear issues:

```
Can you get me the details for issue ENG-123?
```

Claude will use the `linear_get_issue` tool with your issue ID, accessing the token from environment variables.

```
What are all the comments on the issue at https://linear.app/company/issue/ENG-123/issue-title?
```

Claude can use `linear_get_issue_with_comments` to fetch the full issue details including comments.

## License

MIT
npm package: @fastmcp-me/markdown2pdf-mcp
Description: ⚡ MCP client for markdown2pdf.ai - Convert markdown to PDF with Lightning payments
Author: Serendipity AI
Latest version: 0.1.3

[![Add to Cursor](https://fastmcp.me/badges/cursor_dark.svg)](https://fastmcp.me/MCP/Details/553/markdown-to-pdf)
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# markdown2pdf-mcp

⚡ Markdown to PDF conversion, for agents. ⚡

> Agents speak Markdown. Humans prefer PDF.
> We bridge the gap for the final stage of your agentic workflow.
> No sign-ups, no credit cards, just sats for bytes.

Read the full documentation at [markdown2pdf.ai](https://markdown2pdf.ai)

Here’s the output of a markdown file converted to PDF format, showing cover page, table of contents and table support. Our engine is powered by LaTeX rather than HTML to PDF conversion as many other libraries and services use, which results in a much higher quality, print-ready output.

<img src="https://raw.githubusercontent.com/Serendipity-AI/markdown2pdf-python/refs/heads/master/images/examples.png" />

This package provides MCP server support for clients such as Claude Desktop. You can read full instructions on how to configure Claude in [our documentation](https://markdown2pdf.ai/mcp).

## Quickstart

Just drop the following into your Claude Desktop configuration file.

```json
"mcpServers": {

    "markdown2pdf": {
      "command":"npx",
      "args": ["@serendipityai/markdown2pdf-mcp"],
      "cwd": "~"
    }
}
```

Once you've done that, try asking Claude:

`Generate some lorem ipsum in markdown format and then make a PDF out of it`
npm package: @fastmcp-me/mcp-bocha
Description: A simple but helpful MCP server using bocha api service
Author: HumanSean
Latest version: 1.0.1

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# mcp-bocha

A Model Context Protocol (MCP) server that provides web search capabilities to AI agents using the Bocha API.

<a href="https://glama.ai/mcp/servers/@intounknown/mcp-bocha">
  <img width="380" height="200" src="https://glama.ai/mcp/servers/@intounknown/mcp-bocha/badge" alt="MCP-Bocha MCP server" />
</a>

## Introduction

MCP-Bocha is a tool that exposes Bocha AI's web search API capabilities through the Model Context Protocol. It allows AI assistants to search the web programmatically, enabling tasks such as information retrieval, research, and up-to-date data collection.

## Tools

| Tool Name            | Description                      | Parameters                                                                           |
| -------------------- | -------------------------------- | ------------------------------------------------------------------------------------ |
| `mcp-bocha_search`   | Search the web for information   | `query`: The search query string<br>`freshness`: Optional time filter ["oneDay", "oneWeek", "oneMonth", "oneYear", "noLimit"]<br>`summary`: Optional boolean for summarized results<br>`include`: Optional array of domains to include<br>`exclude`: Optional array of domains to exclude<br>`count`: Optional number of results to return |

## Usage

```json
{
  "mcpServers": {
    "mcp-bocha": {
      "command": "npx",
      "args": ["-y", "@humansean/mcp-bocha"],
      "env": {
        "BOCHA_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}
```

## License

Apache-2.0 license