"How to export LLM chat history from multiple domains" matching MCP servers:

A Firecrawl MCP server with built-in support for multiple API key rotation, enabling web search, scraping, crawling, extraction, and more via MCP clients.

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.

An educational MCP server that wraps the Materials Project API, exposing tools to search chemical systems, get material summaries, find semiconductors by band gap, and retrieve crystal structure facts.

Provides access to Iranian stock market historical data (price/trade and retail/institutional) via BrsApi, with tools, prompts, and resources for analysis.

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

Enables privacy-aware, deterministic, read-only chat analysis through tools for briefs, aggregate interaction signals, evidence-aware claim audits, and canonical resource discovery.

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

MCP server for historical asset analysis using tvDatafeed and cached CSV files. Enables fetching OHLCV bars, candlestick charts, and trade execution data for TradingView-style assets.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

Fetches Wikipedia page wikitext via Special:Export and parses wikitables into structured rows, surfacing machine-readable warnings for structurally broken or ambiguous tables.

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.

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

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.

Enables agents to retrieve, submit, critique, and verify structured knowledge records with provenance, uncertainty, and references over a public federated HTTP/MCP layer.

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

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

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.