"Finding an LLM that integrates with MCP for precise calculations and accurate answers" matching MCP servers:

Daily-verified LLM API pricing dataset (44+ models, CN & global) with a hosted MCP server for live price queries and token cost estimation.

Provides crystal structure generation, inspection, and export tools via MCP, supporting vacancy, interstitial, doping, solid-solution, surface, grain-boundary, interface, stacking-fault, and dislocation generators with deterministic outputs and optional Materials Project integration.

An MCP server that enables agents to evaluate LLMs daily through capability benchmarks and value alignment tests, providing tools to list models, get almanac, judge dilemmas, match user values, and score models.

Enables LLM clients to load, clean, visualize, and analyze tabular datasets, and to generate multi-format analytic reports through natural language instructions.

Enables AI agents to compare LLM benchmarks, get pricing, and receive model recommendations for tasks and budgets.

An MCP server that enables LLMs to securely query synthetic clinical data through validated, scoped tools (patient summaries, conditions, medications, lab trends, encounters) while maintaining audit logs and access controls.

Enables offline local LLM analysis of text data via MCP, taking raw text and an instruction to return analysis results without cloud calls.

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

A FastAPI-based server that enables AI assistants to perform Highway Capacity Manual (HCM) transportation engineering calculations and semantic searches over HCM documentation. It provides specialized tools for complete Chapter 15 two-lane highway analysis following standard engineering methodologies.

A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.

Enables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.

An MCP-native pipeline for collecting structured intelligence on higher education institutions using the WHED schema, enabling scraping, extraction, validation, and saving of profiles.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

An MCP server that lets Large Language Models interact with Stata software to perform regression analysis and other statistical operations.

Provides access to Wolfram Alpha's computational knowledge engine for mathematical calculations, scientific computing, data analysis, and factual information through natural language queries.

Enables AI agents to query free biomedical and pharmaceutical APIs for clinical trials, drug data, molecular structures, adverse events, and research literature.

Enables scraping and comparing pricing information for LLM inference services across multiple providers (CloudRift, DeepInfra, Fireworks, Groq) using Firecrawl API and SQLite storage.

MindBase implements Karpathy's "LLM wiki" pattern as an MCP server. Instead of retrieving chunks at query time (RAG), the LLM maintains a persistent wiki between your conversations: it reads every source you feed it, cross-references pages with [[wikilinks]], flags contradictions between sources, and keeps a context.md that reflects your current synthesized thinking.

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.

MCP server for alive-analysis. Query, search, and retrieve structured analysis history written with the ALIVE loop (Ask→Look→Investigate→Voice→Evolve), plus dashboard JSON export.