mcp
Integrates Wolfram Language and Wolfram|Alpha accessing curated data and sophisticated algorithms.
Should I use this
Quality & Safety
Findings (5)
- HIGHTool description contains imperative instructionin WolframLanguageEvaluator
- HIGHTool poisoning patterns detected
- LOWTool 'WolframContext' doesn't follow camelCase/snake_casein WolframContext
- LOWTool 'WolframLanguageEvaluator' doesn't follow camelCase/snake_casein WolframLanguageEvaluator
- LOWTool 'WolframAlpha' doesn't follow camelCase/snake_casein WolframAlpha
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"mcp": {
"url": "https://agenttools.wolfram.com/mcp"
}
}
}Remote endpoints
https://agenttools.wolfram.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (3)
🟢WolframContext(context)
Uses semantic search to retrieve any relevant information from Wolfram. Always use this tool at the start of new conversations or if the topic changes to ensure you have up-to-date relevant information. This uses semantic search, so the context argument should be written in natural language (not a search query) and contain as much detail as possible (up to 250 words).
Input Schema
{
"type": "object",
"properties": {
"context": {
"type": "string",
"description": "A detailed summary of what the user is trying to achieve or learn about."
}
},
"required": [
"context"
]
}🟢WolframLanguageEvaluator(code, timeConstraint)
Evaluates Wolfram Language code for the user in a Wolfram Language kernel. If a formatted result is provided as a markdown link, use that in your response instead of typing out the output. Parse natural language input with `\[FreeformPrompt]["query"]`, which is analogous to ctrl+= input in notebooks. Natural language input is parsed before evaluation, so it works like macro expansion. You should ALWAYS use this natural language input to obtain things like `Quantity`, `DateObject`, `Entity`, etc. This is a stateless kernel, so you cannot reuse definitions from previous evaluations.
Input Schema
{
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "The Wolfram Language code to evaluate."
},
"timeConstraint": {
"type": "number",
"description": "The time constraint for the evaluation (default is 60 seconds)."
}
},
"required": [
"code"
]
}🟢WolframAlpha(query)
Use natural language queries with Wolfram|Alpha to get up-to-date computational results about entities in chemistry, physics, geography, history, art, astronomy, and more.
Input Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Wolfram Alpha query"
}
},
"required": [
"query"
]
}Community
Evidence