"Analyzing Football Statistics and Strategies" matching MCP servers:

Enables natural language querying of a football knowledge graph via Neo4j, generating Cypher queries and answers using LLMs, and also provides tools to build the graph from text.

Provides a standardized protocol for tool invocation, enabling an AI system to search the web, retrieve information, and provide relevant answers through integration with LangChain, RAG, and Ollama.

A multi-tool AI assistant system that uses Model Context Protocol to connect language models with various tools, including math calculations and weather information.

Provides structured dealer brand data including inventory, promotions, reviews, and dealer profile via MCP tools, enabling LLMs to answer accurate brand-related queries.

A meta-MCP server that acts as a universal gateway, allowing users to discover and execute tools from thousands of other MCP servers through semantic search. It dynamically loads servers on demand and provides standardized functions for searching, discovering, and running tools across the entire MCP ecosystem.

An MCP server that exposes RAG retrieval evaluation as agent tools, allowing agents to retrieve passages and measure retrieval quality across multiple strategies.

Enables management of Amazon Bedrock Knowledge Bases including creation, data source configuration, document ingestion, and RAG (Retrieval-Augmented Generation) queries with support for multiple embedding models and custom parsing/chunking strategies.

Enables searching documents in a Tropicalia project using hybrid, neural, or keyword strategies, with optional AI-generated answers and source inclusion.

A Model Context Protocol server providing real-time stock data and options analysis through Yahoo Finance, enabling LLMs to access market data, analyze stocks, and evaluate options strategies.

Converts Claude Desktop into a sports content production studio, enabling search of football transfer tweets and generation of complete videos with virtual presenters.

Alpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs

Tools to benchmark chunking strategies for your RAG corpus.

MCP server for Teradata databases, providing tools and prompts for querying, analyzing, and managing data through AI agents.

Enables natural language interactions with Algolia search and analytics APIs through Claude Desktop. Supports searching indices, managing data, analyzing metrics, monitoring performance, and visualizing insights across your Algolia applications.

Enables AI applications to use advanced memory management capabilities through the memU AI framework. Supports storing conversation memories, semantic retrieval, multi-user management, and memory statistics via standardized MCP protocol.

Enables AI assistants to search and query documentation with flexible backend configurations (ChromaDB, Xenova embeddings) and supports multiple chunking strategies via an MCP server.

MCP server providing RAG context and failure capture for Claude Code, enabling semantic search across project knowledge and storing/analyzing failures.

An open-source MCP server for RAG over personal documents. Supports three parallel strategies — Traditional, Contextual, and Graph RAG — with all data stored locally for privacy.

Enables searching, retrieving, and analyzing documents from over 30 Egyptian official, legal, academic, and news sources with MCP tools for timeline building, source comparison, and claim tracing.

Enables debugging by analyzing bug reports, tracebacks, or code snippets to retrieve similar historical fixes and generate JSON answers with root cause, fix, and confidence.