"Analyzing Football Strategies, Players, and Matches" matching MCP servers:

A TypeScript-based MCP server that enables users to query financial news, stock data, and index information while managing text notes with creation and summarization capabilities.

Enables synchronization and management of FoundryVTT journal entries within a Notion Story Bible, including media export and conflict resolution tools. It provides a Model Context Protocol interface for LLMs to preview, apply, and monitor data mirroring between tabletop RPG platforms and digital databases.

Enables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.

Enables local MCP clients to list, read, write, and search notes in an Obsidian vault via an HTTP server running inside Obsidian.

Provides AI clients with per-project todo management and persistent context notes via MCP, enabling task tracking and resume summaries.

Enables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.

Enables MCP clients to browse, read, search and tag notes in a headless Obsidian vault on Linux through versioned filesystem access, including targeted heading, block and frontmatter reads plus binary attachment previews. Also supports guarded atomic writes, appends, patches, moves and recoverable deletes that require version matches before modifying existing notes.

Enables creating, managing, and searching Markdown notes with support for tags, timestamps, and full-text search. Includes AI prompts for analyzing and summarizing notes.

An MCP server that integrates with Claude Desktop for managing personal journal entries, providing both a web viewer for browsing journals and tools for adding, searching, and analyzing journal content.

Integrates local Granola.ai meeting intelligence with Claude Desktop to enable searching and analyzing meeting transcripts, notes, and summaries. Users can perform natural language queries to retrieve meeting details, analyze participant patterns, and access full speaker-identified conversations.

Connects AI assistants and agents to Obsidian vaults through strongly typed tools and resources for reading, creating, searching, organizing, and analyzing notes, tasks, properties, tags, and knowledge-graph data. Supports secure remote access via stdio or Streamable HTTP/SSE with bearer authentication and path isolation.

An MCP server for saving, managing, and enhancing context with pre-processing strategies like clarification, analysis, and search optimization.

Enables AI assistants to manage Obsidian vaults programmatically with 28 tools for reading, writing, editing, and analyzing notes.

Provides ranked full-text search over Obsidian vaults using SQLite FTS5, BM25 scoring, and multilingual stemming, adding a vault_fts_search tool to find relevant notes beyond exact line matches.

A read-only toolkit for searching and analyzing Markdown note directories and Obsidian vaults through AI clients. It enables metadata extraction, full-text search, and natural language querying of note content, tags, and backlinks.

Finds missing links between notes in an Obsidian vault by analyzing embeddings locally. Exposes tools to suggest missing links across the vault or for a specific note.

Enables AI assistants to interact with Obsidian vaults through file operations like moving/renaming files and analyzing markdown heading structures. Bridges AI assistants with Obsidian using the Local REST API plugin for seamless vault management.

A Model Context Protocol server that enables AI language models like Claude to interact with Microsoft OneNote, allowing access to notebooks, creating pages, searching notes, and analyzing content directly through the AI interface.

A Model Context Protocol server that allows intelligent analysis and querying of XMind mind maps, providing capabilities for searching, extracting, and analyzing content across XMind files.

Enables Claude and other MCP clients to manage Instapaper accounts by reading, saving, organizing, and analyzing articles through natural language. It supports comprehensive bookmark management, bulk operations, folder organization, and full-text content retrieval for research and synthesis.