Wolfram|Alpha computes answers to complex factual and mathematical questions using curated datasets and computational algorithms. Solve equations, perform symbolic and numerical calculations, analyze statistics, convert units, explore scientific concepts, and retrieve structured answers across mathematics, physics, chemistry, engineering, and other disciplines.
DeepSeek Harness (DSH) is DeepSeek's agent harness. Each MCP server is one plugin entry in your project config.
This guide connects Wolfram MCP to DeepSeek Harness through MewCP, so DeepSeek Harness can use Wolfram MCP's 3 tools, like WolframContext, WolframLanguageEvaluator and WolframAlpha.
Wolfram MCP needs no credentials, but every call still runs through MewCP: scoped, checked and logged like any other.
More apps
Manage courses, assignments, rosters and student activity within Google Classroom. Create learning workflows, track submissions and organize educational content across classrooms.
AI's impact on real-world sectors, as a structured record for agents: source-linked headlines placed in one of 18 sectors (healthcare, law, retail, government, defense and more), with outlet, country and time, since June 2026
The Synthesize Bio MCP Server enables AI agents to compare gene expression between sample groups, analyze bulk and single-cell RNA sequencing data, and run long-running bioinformatics workflows that return completed analysis reports.
Search Microsoft Learn documentation and training content through MCP, helping AI agents find relevant technical guidance, tutorials, modules, and learning resources.
Other clients
Wolfram MCP works the same way in every client below. Pick yours for its own guide.
Free to start.
Scope access to the exact Wolfram MCP tools and accounts you allow, work and personal side by side. Anything outside that scope is refused at call time, even when the model asks for it.
Each call is logged: what ran, on which account, and whether it worked. Failures come back structured, so the agent knows whether to retry instead of guessing.
Every app sits behind one secure MCP URL, and there is no server for you to deploy or keep running. Add an integration in the dashboard and it is live on the next call, with no config to change and no new credentials to wire up. Tools load only when a task needs them, so your agent stays fast and focused however many apps you connect.
In your DSH project, or the patch file you mount plugins from.
One plugin instance is one MCP server. Add this to your plugin list.
Tools register as mcp__mewcp__<tool_name>. Sign in when the browser window opens.
Start a new chat and ask: "List the tools you can use from MewCP." You should see your connected apps.
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).
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.
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.
