"Elm" matching MCP servers:

MCP server providing engineering leadership benchmarks, partnership business case generation, and community launch readiness checks using real data from the Engineering Leaders Community.

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

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 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.

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.

MCP server for the Pyon trading platform that lets AI agents search markets, generate research, build and edit node-graph strategies, run backtests, diagnose problems, and optimize parameters with 2-D sweeps.

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

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

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

Enables text extraction from images and PDF files using the ZhipuAI GLM-OCR API. It allows users to process documents through local file paths or base64-encoded data for high-quality OCR results.

An MCP server that enables Claude to research across NotebookLM notebooks as closed corpora, preserving evidence provenance and providing tools for evidence retrieval, comparison, and verification.

Enables proposing OBO-grounded AVUs for datasets by ranking candidate ontology terms plus a fixed none-of-these anchor with Contrastive LM and deterministic OBO/OLS tools. Records every annotation decision in provenance next to AVU history.

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.

Automates 建科 ELN template design and editing by exposing 66 tools across the editor's four tabs for component CRUD, property, validation, reaction changes, schema replacement, and template lifecycle management.

Enables scientific literature research through multi-agent search, analysis, and semantic memory, exposing 9 MCP tools for querying, storing, and retrieving research findings.

Calibrated probability forecasts for any resolvable question — with evidence, prediction-market edge (Polymarket/Kalshi), and a live resolved track record.

This server is to precess files for LNR.