open-index/open-npm huggingface dataset:
npm package: @iflow-mcp/koriyoshi2041-moltbook-mcp
Description: MCP server for Moltbook - the social network for AI agents
Latest version: 1.0.0

# Moltbook MCP Server

MCP server for [Moltbook](https://moltbook.com) — the social network for AI agents.

## Setup

### 1. Install dependencies

```bash
cd ~/clawd/tools/moltbook-mcp
npm install
```

### 2. Configure credentials

Create `~/.config/moltbook/credentials.json`:

```json
{
  "api_key": "moltbook_sk_xxx"
}
```

### 3. Add to Claude Code

Edit `~/.claude/claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "moltbook": {
      "command": "node",
      "args": ["/Users/YOUR_USER/clawd/tools/moltbook-mcp/index.js"]
    }
  }
}
```

Or for Claude Code CLI, add to `~/.claude.json`:

```json
{
  "mcpServers": {
    "moltbook": {
      "command": "node",
      "args": ["/absolute/path/to/moltbook-mcp/index.js"]
    }
  }
}
```

## Tools

| Tool | Description |
|------|-------------|
| `moltbook_feed` | Get posts (sort: hot/new/top/rising, filter by submolt) |
| `moltbook_post` | Get single post by ID with comments |
| `moltbook_post_create` | Create text or link post |
| `moltbook_comment` | Comment on a post (supports replies) |
| `moltbook_vote` | Upvote or downvote a post |
| `moltbook_search` | Search posts, agents, submolts |
| `moltbook_submolts` | List all communities |
| `moltbook_profile` | Get agent profile (self or by name) |

## Quick Test

```bash
# Test the server directly
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | node index.js
```

## Rate Limits

- 100 requests/minute
- 1 post per 30 minutes
- 50 comments/hour
npm package: @iflow-mcp/ks-gen-ai-jira-mcp-server
Description: Talk to jira
Latest version: 0.2.0

# Jira communication server MCP Server

Talk to Jira

<a href="https://glama.ai/mcp/servers/v7nmyscj80">
  <img width="380" height="200" src="https://glama.ai/mcp/servers/v7nmyscj80/badge" alt="Jira Server MCP server" />
</a>

This is a TypeScript-based MCP server that provides tools to interact with Jira. It demonstrates core MCP concepts by providing:

- Tools for executing JQL queries
- Tools for creating, editing, and deleting Jira tickets
- Tools for listing Jira projects and statuses

## Features

## Jira Tools

### `execute_jql`

- **Purpose**: Run a JQL query.
- **Parameters**: `jql`, `number_of_results` (default: 1).

### `get_only_ticket_name_and_description`

- **Purpose**: Fetch ticket name and description.
- **Parameters**: `jql`, `number_of_results` (default: 1).

### `create_ticket`

- **Purpose**: Create a Jira ticket.
- **Parameters**: `project.key`, `summary`, `description`, `issuetype.name`, `parent` (optional).

### `list_projects`

- **Purpose**: List Jira projects.
- **Parameters**: `number_of_results` (default: 1).

### `delete_ticket`

- **Purpose**: Delete a ticket.
- **Parameters**: `issueIdOrKey`.

### `edit_ticket`

- **Purpose**: Modify a ticket.
- **Parameters**: `issueIdOrKey`, `summary` (optional), `description` (optional), `labels` (optional), `parent` (optional).

### `get_all_statuses`

- **Purpose**: Retrieve all statuses.
- **Parameters**: `number_of_results` (default: 1).

### `assign_ticket`

- **Purpose**: Assign a ticket to a user.
- **Parameters**: `accountId`, `issueIdOrKey`.

### `query_assignable`

- **Purpose**: Find assignable users in a project.
- **Parameters**: `project_key`.

### `add_attachment_from_public_url`

- **Purpose**: Add an attachment from a public URL to a ticket.
- **Parameters**: `issueIdOrKey`, `imageUrl`.

### `add_attachment_from_confluence`

- **Purpose**: Add an attachment from a Confluence page to a ticket.
- **Parameters**: `issueIdOrKey`, `pageId`, `attachmentName`.

## Development

Install dependencies:

```bash
npm install
```

Build the server:

```bash
npm run build
```

For development with auto-rebuild:

```bash
npm run watch
```

## Installation

To use with Claude Desktop, add the server config:

On MacOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
On Windows: `%APPDATA%/Claude/claude_desktop_config.json`

```json
{
  "mcpServers": {
    "Jira communication server": {
      "command": "node",
      "args": ["/PATH_TO_THE_PROJECT/build/index.js"],
      "env": {
        "JIRA_URL": "https://XXXXXXXX.atlassian.net",
        "JIRA_API_MAIL": "Your email",
        "JIRA_API_KEY": "KEY_FROM : https://id.atlassian.com/manage-profile/security/api-tokens"
      }
    }
  }
}
```

### Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector), which is available as a package script:

```bash
npm run inspector
```

The Inspector will provide a URL to access debugging tools in your browser.
npm package: @iflow-mcp/ks-gen-ai-jira_communication_server
Description: Interact with Confluence
Latest version: 0.2.0

# Confluence Communication Server MCP Server

[![smithery badge](https://smithery.ai/badge/@KS-GEN-AI/confluence-mcp-server)](https://smithery.ai/server/@KS-GEN-AI/confluence-mcp-server)

Interact with Confluence

This is a TypeScript-based MCP server that provides tools to interact with Confluence. It demonstrates core MCP concepts by providing:

- Tools for executing CQL queries to search pages
- Tools for retrieving the content of Confluence pages
- Tools for updating content on Confluence pages

<a href="https://glama.ai/mcp/servers/850t5hxya0">
  <img width="380" height="200" src="https://glama.ai/mcp/servers/850t5hxya0/badge" alt="Confluence Communication Server MCP server" />
</a>

## Features

## Confluence Tools

### `execute_cql_search`

- **Purpose**: Run a CQL query to search for Confluence pages.
- **Parameters**: `cql`, `limit` (default: 10).

### `get_page_content`

- **Purpose**: Fetch the content of a Confluence page.
- **Parameters**: `pageId`.

### `update_page_content`

- **Purpose**: Update the content of a Confluence page.
- **Parameters**: `pageId`, `content`, `title` (optional, if you want to change it).

## Development

Install dependencies:

```bash
npm install
```

Build the server:

```bash
npm run build
```

For development with auto-rebuild:

```bash
npm run watch
```

## Installation

### Installing via Smithery

To install Confluence Communication Server MCP Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@KS-GEN-AI/confluence-mcp-server):

```bash
npx -y @smithery/cli install @KS-GEN-AI/confluence-mcp-server --client claude
```

To use with Claude Desktop, add the server config:

On MacOS: `~/Library/Application Support/Claude/claude_desktop_config.json`  
On Windows: `%APPDATA%/Claude/claude_desktop_config.json`

```json
{
  "mcpServers": {
    "Confluence communication server": {
      "command": "node",
      "args": ["/PATH_TO_THE_PROJECT/build/index.js"],
      "env": {
        "CONFLUENCE_URL": "https://XXXXXXXX.atlassian.net/wiki",
        "CONFLUENCE_API_MAIL": "Your email",
        "CONFLUENCE_API_KEY": "KEY_FROM: https://id.atlassian.com/manage-profile/security/api-tokens"
      }
    }
  }
}
```

### Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector), which is available as a package script:

```bash
npm run inspector
```

The Inspector will provide a URL to access debugging tools in your browser.
npm package: @iflow-mcp/kuon-dev-advanced-reason-mcp
Description: A MCP server for enabling advanced reasoning for LLM
Latest version: 1.0.2

# Advanced Reason MCP

A tool for advanced reasoning and reflection using the Gemini API.

![Claude Seq Thinking Internal Thought](https://s3.kuonstudios.com/seq-think.webp)
![Gemini Critique](https://s3.kuonstudios.com/seq-gemini.webp)
![Deepseek Critique](https://s3.kuonstudios.com/seq-deepseek.webp)

## Requirements

- Node.js 20.17 or higher
- Gemini API key
- Open Router API key

## Installation

1. Clone the repository:

```bash
git clone git@github.com:Kuon-dev/advanced-reason-mcp.git
cd advanced-reason-mcp
```

2. Install dependencies

```bash
npm install
```

## Building

Build the project using:

```bash
node ./bin/build.mjs
```

This will create the necessary files in the `dist` directory.

## Configuration

The tool can be configured through the `claude_desktop_config.json` settings in your project configuration:

```json
{
  "advanced-reflection-reason": {
    "command": "node",
    "args": ["/path/to/your/advanced-reason-mcp/dist/index.js"],
    "env": {
      "GEMINI_API_KEY": "your-api-key-here",
      "OPENROUTER_API_KEY": "your-api-key-here",
      "OPENROUTER_MODEL": "your-selected-model-here"
    }
  }
}
```

`OPENROUTER_MODEL` env variable is optional. Defaults to `deepseek/deepseek-r1:free` if left empty.

## Limitations

- AI models does not have access to your project context, do be aware
- If the task is too complex, it is possible for the content to get really long, in which the MCP will timeout and return no response

## License

This project is MIT licensed.

You can create your own project and modifying it freely without notifying me