MCP-IQWiki

MCP-IQWiki

A Model Context Protocol server that allows AI assistants and applications to access IQ.wiki data, enabling retrieval of specific wikis, user-created wikis, user-edited wikis, and detailed wiki activities.

Category
Visit Server

README

MCP-IQWiki: Model Context Protocol Server for IQ.wiki

This project implements a Model Context Protocol (MCP) server to interact with IQ.wiki data. It allows MCP-compatible clients (like AI assistants, IDE extensions, or custom applications) to access wiki information such as specific wikis by ID, user-created wikis, user-edited wikis, and detailed wiki activities.

Features (MCP Tools)

The server exposes the following tools that MCP clients can utilize:

  • GET_WIKI: Get details about a specific wiki from the IQ.wiki platform.

    • Parameters: id (string) - The ID of the wiki to retrieve.
  • GET_USER_CREATED_WIKIS: List wikis created by a specific user on IQ.wiki.

    • Parameters: id (string) - The Ethereum address of the user.
    • Parameters: timeFrameSeconds (number, optional) - Time frame in seconds to filter results.
  • GET_USER_EDITED_WIKIS: List wikis edited by a specific user on IQ.wiki.

    • Parameters: id (string) - The Ethereum address of the user.
    • Parameters: timeFrameSeconds (number, optional) - Time frame in seconds to filter results.
  • GET_USER_WIKI_ACTIVITIES: Get detailed wiki activities (creations or edits) for a user on IQ.wiki.

    • Parameters: id (string) - The Ethereum address of the user.
    • Parameters: activityType (enum: "CREATED" | "UPDATED", optional) - Type of activity to filter by.
    • Parameters: timeFrameSeconds (number, optional) - Time frame in seconds to filter results.

Prerequisites

Installation

There are a few ways to use mcp-iqwiki:

1. Using pnpm dlx (Recommended for most MCP client setups):

You can run the server directly using pnpm dlx without needing a global installation. This is often the easiest way to integrate with MCP clients.

pnpm dlx @iqai/mcp-iqwiki

2. Global Installation from npm (via pnpm):

Install the package globally to make the mcp-iqwiki command available system-wide:

pnpm add -g @iqai/mcp-iqwiki

3. Building from Source (for development or custom modifications):

  1. Clone the repository:

    git clone https://github.com/IQAIcom/mcp-iqwiki.git
    cd mcp-iqwiki
    
  2. Install dependencies:

    pnpm install
    
  3. Build the server: This compiles the TypeScript code to JavaScript in the dist directory.

    pnpm run build
    

Running the Server with an MCP Client

MCP clients (like AI assistants, IDE extensions, etc.) will run this server as a background process. You need to configure the client to tell it how to start your server.

Below is an example configuration snippet that an MCP client might use (e.g., in a mcp_servers.json or similar configuration file):

{
  "mcpServers": {
    "iq-wiki-mcp-server": {
      "command": "pnpm",
      "args": [
        "dlx",
        "@iqai/mcp-iqwiki"
      ]
    }
  }
}

Alternative if Globally Installed:

If you have installed mcp-iqwiki globally, you can simplify the command:

{
  "mcpServers": {
    "iq-wiki-mcp-server": {
      "command": "mcp-iqwiki",
      "args": []
    }
  }
}

Tool Examples

Below are examples of how to use each tool in this MCP server:

GET_WIKI

{
  "id": "bitcoin"
}

GET_USER_CREATED_WIKIS

{
  "id": "0x8AF7a19a26d8FBC48dEfB35AEfb15Ec8c407f889",
  "timeFrameSeconds": 3600
}

GET_USER_EDITED_WIKIS

{
  "id": "0x8AF7a19a26d8FBC48dEfB35AEfb15Ec8c407f889"
}

GET_USER_WIKI_ACTIVITIES

{
  "id": "0x8AF7a19a26d8FBC48dEfB35AEfb15Ec8c407f889",
  "activityType": "CREATED",
  "timeFrameSeconds": 86400
}

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured