"nexus play" matching MCP servers:

MCP server that connects to a sales CRM database, enabling AI agents to search prospects, view pipeline status, manage follow-ups, and update records using natural language commands.

Enables natural-language querying of a local DuckDB warehouse of NFL play-by-play data, converting questions into SQL and returning results.

Enables AI agents to interact with over 50 SQL and NoSQL databases through MCP tools for querying, schema inspection, and table management.

Enables models to query enterprise systems—structured data, live GitHub REST API, and unstructured document embeddings—through a single, per-caller scoped MCP tool surface with task-shaped tools and recovery-aware errors.

The intelligent data query plugin under DataFocus that supports multi-round conversations provides plug-and-play ChatBI capabilities.

Enables secure enterprise integration by bridging SQL, financial, SCADA, and document backends to LLM agents with RBAC, DLP redaction, human-in-the-loop approvals, and OpenTelemetry tracing.

An MCP server that provides access to over 12 years of NFL play-by-play data through a local DuckDB database. It enables users to query player performance, team statistics, and situational efficiency metrics like EPA and WPA using natural language.

Provides a stateless MCP gateway that lets AI agents execute Python in an isolated AST sandbox, run guarded read-only SQL queries, and automatically route tasks to cheaper or more capable models.

Enables any Model Context Protocol-compatible host (Claude Desktop, Cherry Studio, Cline, MCP Inspector) to call 8 plug-and-play tools over stdio: hotspot ranking, TC3 signing, text chunking, date calculation, read-only SQLite queries, webpage text extraction, JWT decode/verify, and health checks.

A read-only MCP server over the Cassini-Huygens mission dataset exposing tools for querying activity data such as listing, searching, counting, aggregating, and timeline analysis.

An MCP server that provides poker play recommendations by combining real-time Monte Carlo equity calculations with historical player tracking and exploit-based advice. It enables users to import PokerNow hand histories to analyze player tendencies and receive data-driven coaching for various game situations.

Exposes read-only tools for querying production plan variance, issue tracking, plants, and shop floors from a DWH database, mirroring a dashboard's data.