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qualityA modular dynamic API server based on the MCP protocol that provides rich tool capabilities for AI assistants while significantly reducing prompt token consumption.
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Why this server?
Provides rich tool capabilities for AI assistants while significantly reducing prompt token consumption which is valuable for analyzing large sets of data.
Why this server?
Provides standardized interfaces for data preprocessing, transformation, and analysis tasks including data aggregation and descriptive statistics.
Why this server?
Snowflake integration implementing read and (optional) write operations as well as insight tracking.
Why this server?
Provides access to economic data from the Federal Reserve Bank of St. Louis (FRED) through the Model Context Protocol, allowing AI assistants to retrieve economic time series data directly.
Why this server?
Enables interaction with Datadog's monitoring platform to search logs, search trace spans, and perform trace span aggregation for analysis.
Why this server?
Enhances LLM applications with deep autonomous web research capabilities, delivering higher quality information than standard search tools by exploring and validating numerous trusted sources.
Why this server?
Provides standardized interfaces for data preprocessing, transformation, and analysis tasks including data aggregation and descriptive statistics.
Why this server?
A Model Context Protocol server that enables Large Language Models to seamlessly interact with Firebase Firestore databases, supporting full CRUD operations, complex queries, and advanced features like transactions and TTL management.
Why this server?
A Model Context Protocol server that provides a SQL interface for querying and managing Apache Iceberg tables through Claude desktop, allowing natural language interaction with Iceberg data lakes.
Why this server?
A Model Context Protocol server that enables Large Language Models like Claude to query New Relic logs and metrics using NRQL queries.