Scira AI MCP Server
Mentioned as part of People Search functionality, enabling retrieval of GitHub profiles alongside other social media information when searching for detailed people profiles.
Listed as a prerequisite for running the MCP server (version 20.0.0 or higher required).
Used for package management in setting up and running the MCP server.
Used for parameter validation in the server's architecture.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Scira AI MCP Serversearch for recent advancements in quantum computing"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Scira AI MCP Server
A Model Context Protocol (MCP) server that provides AI-powered search capabilities through the Scira AI platform. This server offers three specialized search tools for comprehensive information retrieval.
Features
This MCP server provides the following tools:
🔍 Web Search (search)
Description: Search the web for comprehensive information
Use Case: Get real-time web search results with AI-powered analysis
Returns: Structured search results with sources
👥 People Search (people)
Description: Search for detailed people profiles and information
Use Case: Find professional profiles, social media, and biographical data
Returns: Name, social profiles (X, LinkedIn, GitHub), website, and bio
🐦 X Platform Search (xsearch)
Description: Search for posts and content on X (formerly Twitter)
Use Case: Find relevant tweets, discussions, and social media content
Parameters: Query string and optional username filter
Returns: X posts and content with sources
👽 Reddit Search (reddit)
Description: Search Reddit for posts and discussions
Use Case: Find relevant Reddit threads, advice, and community discussions
Returns: AI-powered summary with sources
Example:
curl -X POST https://api.scira.ai/api/reddit \
-H "Content-Type: application/json" \
-H "x-api-key: YOUR_API_KEY" \
-d '{
"query": "Best practices for deploying Next.js on Vercel?"
}'Related MCP server: Tavily Web Search MCP Server
Prerequisites
Node.js 20.0.0 or higher
A valid Scira AI API key
How to use the MCP server
Put the MCP server url: https://mcp.scira.ai/mcp
Get the API Key from the Scira AI Platform(https://api.scira.ai)
Put the API Key in the MCP server config with the key
x-api-key:
{
"x-api-key": "your-api-key"
}You can use the MCP server in your Scira AI MCP client(https://mcpchat.scira.ai)
Setup
Clone this repository
Install dependencies:
pnpm installSet up your Scira AI API key (the server expects it via
x-api-keyheader orAuthorization: Bearer <token>)
Development
Run the development server:
pnpm devThis starts the MCP server in development mode with hot reloading.
Building for Production
Build the project:
pnpm buildRunning in Production
Start the HTTP server:
pnpm startThe server will run on port 3002 by default (configurable in xmcp.config.ts).
Configuration
The server is configured via xmcp.config.ts with the following defaults:
Port: 3002
CORS: Enabled for all origins
Body Size Limit: 10MB
API Authentication
All tools require authentication through the Scira AI API. The server accepts API keys via:
x-api-keyheaderAuthorization: Bearer <token>header
Architecture
This project uses the xmcp framework with automatic tool discovery. Each tool is defined in the src/tools/ directory with:
Schema: Zod-based parameter validation
Metadata: Tool description and annotations
Implementation: Async function that calls Scira AI APIs
Learn More
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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