Connect your chat repl to wolfram alpha computational intelligence
A MCP server to connect to wolfram alpha API.
This is analogous to the !wa
bang in duckduckgo search.
def wa(query: str) -> f"Use wolfram alpha to answer the following question: {query}"
Query Wolfram Alpha api.
def query_wolfram_alpha(query: str) -> str
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"
}
}
}
}
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
Repomix
📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.
Ctgov_mcp
Mcp Ollama
Query model running with Ollama from within Claude Desktop or other MCP clients
The Azure MCP Server, bringing the power of Azure to your agents.
DButils is an all-in-one MCP service that enables your AI to do data analysis by harnessing versatile types of database (sqlite, mysql, postgres, and more) within a unified configuration of multiple connections in a secured way (like SSL and controlled write access).