Wolfram Alpha
Access the Wolfram Alpha API for computational knowledge and real-time data.
MCP-wolfram-alpha
A MCP server to connect to wolfram alpha API.
Components
Prompts
This is analogous to the !wa bang in duckduckgo search.
def wa(query: str) -> f"Use wolfram alpha to answer the following question: {query}"
Tools
Query Wolfram Alpha api.
def query_wolfram_alpha(query: str) -> str
Configuration
You must set the WOLFRAM_API_KEY environment variable. Get an api ket from Wolfram Alpha.
This was tested with the full results API, but it might not be required.
{
"mcpServers": {
"MCP-wolfram-alpha": {
"command": "uv",
"args": [
"--directory",
"C:\\Users\\root\\Documents\\MCP-wolfram-alpha",
"run",
"MCP-wolfram-alpha"
],
"env": {
"WOLFRAM_API_KEY": "your-app-id"
}
}
}
}
Development
Debugging
Since the official MCP inspector does not have good environment support, I reccommend using wong2's mcp-cli-inspector.
Create a config.json file in the same style as claude desktop.
{
"mcpServers": {
"MCP-wolfram-alpha": {
"command": "uv",
"args": [
"--directory",
"/full/path/to/MCP-wolfram-alpha",
"run",
"MCP-wolfram-alpha"
],
"env": {
"WOLFRAM_API_KEY": "your-app-id"
}
}
}
}
Then run:
npx @wong2/mcp-cli -c .\config.json
Servidores relacionados
Perplexity MCP Server
Web search using Perplexity's API.
Google Search by CData
An MCP server for Google Search provided by CData, which requires an external CData JDBC Driver.
Context7 HTTP
An MCP server for the Context7 project, providing HTTP streaming and search endpoints for library information without local installation.
Qdrant MCP Server
Semantic code search using the Qdrant vector database and OpenAI embeddings.
Crossref MCP Server
Search and access academic paper metadata from Crossref.
Reexpress
Enable Similarity-Distance-Magnitude statistical verification for your search, software, and data science workflows
WebSearch-MCP
Self-hosted Websearch API
NPI Registry
Search the National Provider Identifier (NPI) registry for healthcare providers and organizations in the United States.
Crawleo MCP Server
Crawleo MCP - Web Search & Crawl for AI Enable AI assistants to access real-time web data through native tool integration. Two Powerful Tools: web.search - Real-time web search with flexible formatting Search from any country/language Device-specific results (desktop, mobile, tablet) Multiple output formats: Enhanced HTML (AI-optimized, clean) Raw HTML (original source) Markdown (formatted text) Plain Text (pure content) Auto-crawl option for full content extraction Multi-page search support web.crawl - Deep content extraction Extract clean content from any URL JavaScript rendering support Markdown conversion Screenshot capture Multi-URL support Features: ✅ Zero data retention (complete privacy) ✅ Real-time, not cached results ✅ AI-optimized with Enhanced HTML mode ✅ Global coverage (any country/language) ✅ Device-specific search (mobile/desktop/tablet) ✅ Flexible output formats (4 options) ✅ Cost-effective (5-10x cheaper than competitors) ✅ Simple Claude Desktop integration Perfect for: Research, content analysis, data extraction, AI agents, RAG pipelines, multi-device testing
mxHERO Multi-Account Email Search
Search across multiple email accounts using mxHERO's vector search service.