"common room" matching MCP servers:

Enables natural language control of Room EQ Wizard for acoustic measurements, analysis, and EQ optimization, with peak/null detection and room-mode analysis.

MCP server for Common Thread that enables agents to drive the full investigation API, including creating investigations, managing seeds, ingesting data, attribution, and generating evidence packets.

Vedaksha MCP Server Astronomical ephemeris and Vedic astrology computation for AI agents via the Model Context Protocol.

Provides AI agents with typed SEO tools for domain authority, keyword opportunities, competitor gap analysis, content briefs, site audits, and internal links, backed by Common Crawl graph data and optional x402 payment settlement.

Enables querying MITRE's Common Weakness Enumeration database for vulnerability information, supporting CWE lookup, search, taxonomy navigation, and relationship mapping through MCP.

MCP server and CLI for querying Common Crawl via AWS Athena, enabling users to check a domain's presence in crawls, analyze dynamics, compare domains, and inspect page text.

Provides access to FishBase marine biology data including species information, ecological data, distribution records, and morphological details. Enables species name validation and conversion between common and scientific names through natural language queries.

An MCP server that integrates AI retrievals with NASA's Common Metadata Repository (CMR), allowing users to search NASA's catalog of Earth science datasets through natural language queries.

Enables natural language search and discovery of open-access scientific datasets through the EOSC Data Commons OpenSearch service. Provides tools to search datasets and retrieve file metadata using LLM-assisted queries.

Exposes materials-science data, simulations, workflows, and computing capabilities to MCP hosts through a plugin-agnostic, contract-governed engine with progressive capability discovery, bounded context, scoped permissions, and provenance-traceable artifacts. Concrete integrations such as a real OPTIMADE provider plugin stay separately packaged, so servers remain focused and evidence-backed rather than unrestricted.

Enables querying MITRE Common Weakness Enumeration (CWE) data, including weaknesses, categories, views, and their relationships, through natural language or direct tools.

Enables users to perform common laboratory calculations—reconstitution concentration, unit conversion, C1V1 dilution, molarity, percent w/v, and serial dilution—through MCP tools, with input validation and no network calls or stored data.

Enables queries about global taxonomic data, including scientific name matching, classification chains, common names, and synonyms from the Catalogue of Life index.

Provides persistent, versioned JSON transformation solutions with lineage and evidence retrieval, enabling users to resolve structured problems via query, contribute new solutions, and verify reuse.

An employee-analytics MCP server backed by SQLite that provides hand-written SQL queries for common analytics tasks like salary ranking and department statistics. It self-seeds sample data, enabling immediate testing of GROUP BY, window functions, NULL handling, and subqueries.

Enables users to query and compare luxury car brand insights from owner reviews, including average ratings, common complaints and praises, rating trends, and review searches via six deterministic tools.

Converts common units for length, weight, temperature, area, and volume.

Mines public App Store and Steam reviews to surface the complaints, rating drops per version, and common pain points across one app or a set of competitors, with no API keys required. Enables natural-language comparison of up to eight apps or games by country and category so users can spot product opportunities and gaps.

Enables Claude to query live MLB Stats API data and local KBO CSV files for player and team statistics, leaderboards, standings, and player lookup. Computes sabermetrics server-side — FIP, K-BB%, LOB%, ISO, BABIP, pitcher luck checks, and Pythagorean win expectations — for both leagues on a common basis, returning markdown or JSON.

Reads raw lab-instrument files (microscopy, mass spectrometry, chromatography, flow cytometry, NMR, electrophysiology, spectroscopy, plate readers, qPCR) without vendor software, returning metadata, images, spectra and traces as JSON. It also checks files for damage, runs common analyses, and exports to open formats such as OME-TIFF, OME-Zarr, mzML, Parquet and NWB.