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SecretiveShell

MCP-wolfram-alpha

by SecretiveShell
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

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

Related MCP server: Wolfram Alpha MCP Server

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

Available Tools

1 tool
query-wolfram-alphaB

Use Wolfram Alpha to answer a question. This tool should be used when you need complex math or symbolic intelligence.

ParametersJSON Schema
NameRequiredDescriptionDefault
queryYes

TDQS

B3.2/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description mentions the tool's purpose but doesn't disclose important behavioral traits such as rate limits, authentication requirements, response format, or error handling. It adds minimal value beyond stating what the tool does.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately sized and front-loaded with the core purpose in the first sentence and usage guidance in the second. Both sentences earn their place by providing essential information without waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (querying an external API for complex computations), lack of annotations, no output schema, and low parameter coverage, the description is incomplete. It doesn't address how results are returned, error conditions, or practical constraints, leaving significant gaps for an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 1 parameter with 0% description coverage. The description doesn't add any meaning about the 'query' parameter beyond what's implied by the tool's purpose. It doesn't explain what constitutes a valid query, format expectations, or examples, failing to compensate for the low schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Use Wolfram Alpha to answer a question.' It specifies the action ('answer a question') and the resource (Wolfram Alpha). However, it doesn't distinguish from siblings since there are none, so it can't achieve a perfect 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context on when to use this tool: 'when you need complex math or symbolic intelligence.' This gives explicit guidance on appropriate use cases. However, it doesn't mention when NOT to use it or name alternatives, so it falls short of a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

B3.3/5.0
Disambiguation5/5

With only one tool, there is no possibility of confusion or overlap between tools. The tool's purpose is clearly defined as querying Wolfram Alpha for complex math or symbolic intelligence, making it distinct by default.

Naming Consistency5/5

The single tool name 'query-wolfram-alpha' follows a consistent verb-noun pattern, using kebab-case. Since there is only one tool, naming consistency is inherently perfect with no deviations to assess.

Tool Count2/5

One tool is too few for a server named 'MCP-wolfram-alpha', which suggests broader Wolfram Alpha integration. A single query tool feels thin and limits functionality, as it lacks operations like data retrieval, visualization, or specialized computations that might be expected from such a service.

Completeness2/5

The tool surface is severely incomplete for a Wolfram Alpha integration. While the query tool handles basic questions, there are obvious gaps such as no support for step-by-step solutions, data analysis, image generation, or API-specific features like units conversion or historical data, which are core to Wolfram Alpha's capabilities.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Connectors

Related MCP Servers

  • Wolfram Alpha MCP Server

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    Enables users to query Wolfram Alpha's computational knowledge engine through natural language. Provides access to mathematical computations, scientific data, and factual information via the Wolfram Alpha API.

  • Wolfram Alpha MCP Server

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  • Wolfram Alpha MCP Server

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