Analytical MCP Server: Enhancing AI with Structured Problem-Solving Tools
Analytical MCP Server: Enhancing AI with Structured Problem-Solving Tools
Model Context Protocol server exposing 12 analytical tools for Claude: descriptive statistics, regression (linear/polynomial/logistic/multivariate), hypothesis testing, data preprocessing, data visualization specs, multi-criteria decision analysis, ML model evaluation, logical argument/fallacy analysis, and Exa-backed research verification. Runs over stdio; the analytical core needs no API key (research features require EXA_API_KEY).
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Prerequisites — The Prerequisites tool exposed by this serverInstallation — The Installation tool exposed by this serverConfiguration — The Configuration tool exposed by this serverTesting — The Testing tool exposed by this serverScripts — The Scripts tool exposed by this serververify_research and perspective_shifter, both of which call the Exa search API on every invocation)Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"analytical": {
"command": "npx",
"args": ["-y", "npm"],
"env": {
"EXA_API_KEY": "your-value",
"METRICS_HOST": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
verify_research and perspective_shifter, both of which call the Exa search API on every invocation)| Variable | Description | Required |
|---|---|---|
| EXA_API_KEY | Credential the server authenticates with. | Yes |
| METRICS_HOST | Endpoint or connection string the server talks to. | Optional |
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