A remote Wolfram server that lets an assistant run Wolfram Language code, query Wolfram|Alpha, and pull Wolfram context via semantic search.
What you can do
Retrieve relevant Wolfram information through semantic search, written as natural-language context queries, at the start of a conversation or when the topic changes. Evaluate Wolfram Language code in a kernel, including parsing freeform natural-language input, and return formatted results. Answer natural-language computational questions about entities in chemistry, physics, geography, history, art, astronomy and more through Wolfram|Alpha.
When to use it
Useful when an assistant needs exact computation, curated real-world data, or Wolfram Language evaluation rather than approximate answers, such as math, science, geography or unit-heavy questions.
Requirements
A remote MCP endpoint at agenttools.wolfram.com over streamable HTTP; no package, environment variables or headers are declared. Network access to that endpoint is needed.
Before you install
Queries and code are sent to Wolfram's remote service, so avoid submitting confidential data. Evaluated Wolfram Language code runs on Wolfram's kernel, not locally, and results depend on that service's availability and limits.
Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/com.wolfram%2Fmcp/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.
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).
Parameterscontextrequired
WolframLanguageEvaluator
Wolfram Language Evaluator
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.
ParameterscoderequiredtimeConstraint
WolframAlpha
Wolfram|Alpha
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.
Parametersqueryrequired
Version history
1
v1.0.1LatestSep 16, 2026
Score
83%
83% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
Reached in the last 30 daysRequired25 pts
Auth declaredRequired10 pts
Tools listedRequired15 pts
DescriptionRequired15 pts
Logo10 pts
Documentation15 pts
Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.
LicenseNot applicable
A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.