"Analyzing Bitcoin Blockchain Operations" matching MCP servers:

A Model Context Protocol server that provides real-time Bitcoin blockchain and mempool data to AI clients, allowing access to comprehensive Bitcoin network information through various data tools.

Enables AI assistants to interact with security data pipelines and map data to the Open Cybersecurity Schema Framework (OCSF) through Tenzir. Provides seamless integration for processing and analyzing cybersecurity data using natural language.

Pre-reasoned Bitcoin and macro market briefings with trend signals, confidence scores, and regime classification. 17 briefings covering BTC, Fed balance sheet, M2, Treasury yields, and cross-asset correlations.

Enables creating and deploying KoboToolbox XLSForm questionnaires, managing data collection, analyzing submissions, and generating Excel, Word, and PDF deliverables directly from a Claude conversation.

A server providing tools for querying and analyzing Teradata databases, including database management, data quality assessment, and SQL execution capabilities through an MCP interface.

Enables users to convert structured data into Token-Oriented Object Notation (TOON) to reduce LLM token usage and costs by up to 70%. It provides tools for encoding, decoding, and analyzing data formats like JSON, CSV, and XML to optimize prompt efficiency.

A comprehensive MCP server providing over 26 tools for querying, monitoring, and analyzing NewRelic data through NRQL queries and entity management. It enables interaction with NewRelic's NerdGraph API for managing alerts, logs, and incidents directly within Claude Code sessions.

Enables comprehensive CSV file management including creating, editing, analyzing, and transforming CSV data anywhere in the filesystem. Provides statistical analysis, data validation, filtering, and grouping capabilities through MCP protocol over stdio transport.

An MCP server that provides comprehensive market intelligence by analyzing data from both the Apple App Store and Google Play Store, enabling users to research apps, track market trends, study competitors, and understand user feedback across mobile marketplaces.

A server that enables AI assistants to access, analyze, and understand HackerNews content through standardized Model Context Protocol interfaces, providing tools for searching posts, analyzing users, and tracking trending topics.

Enables interaction with Vertica databases through SQL queries, schema management, and bulk data operations. Supports connection pooling, SSL/TLS security, and configurable permissions for database operations.

Enables users to interact with Cube's AI agent for real-time analytics and data exploration through a chat interface. It supports generating data visualizations, performing SQL queries, and analyzing trends using natural language.

A Model Context Protocol implementation for the CoinMarketCap API that provides standardized access to cryptocurrency market data, exchange information, and blockchain metrics.

A stdio MCP server for safely reading, analyzing, validating, and transforming CSV/TSV files, with sandboxed file system access and configurable parsing options.

Enables interaction with live Pokémon data through PokeAPI, providing comprehensive Pokémon information, battle calculations, moveset validation, and team analysis. Supports searching Pokémon and moves, calculating stats, checking type effectiveness, and analyzing team synergies with in-memory caching for improved performance.

Enables LLMs to interact with Dremio data platforms for querying, analyzing data patterns, and exploring metadata through natural language, with support for both local and production Kubernetes deployments.

Enables searching, analyzing, and managing data packages in a Quilt data catalog through natural language, with 84+ tools including package CRUD operations.

An MCP server for controlling Apache Airflow 3 via its REST API, enabling operations like DAG management, task monitoring, and more through natural language.

Enables MCP clients to run Ingestron project operations such as creating reviewed data contracts, configuring flows, and generating data-engineering assets from versioned plugins.

Enables AI assistants to interact with Snowflake databases through SQL queries, table previews, and metadata operations. Features built-in safety checks that block destructive operations and intelligent error handling optimized for AI workflows.