"Redmine Project Management Tool" matching MCP servers:

Enables AI assistants to interact with DBT (Data Build Tool) projects, allowing them to query project metadata, inspect models and sources, view compiled SQL, and run DBT commands.

Generates formatted Excel (.xlsx) files from user requests and deposits them into Cleyrop project data.

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.

Converts JSON data to TOON (Token-Oriented Object Notation) format and back, reducing token usage by 30-60% for more efficient LLM applications.

This server facilitates interaction with Keboola's Storage API, enabling users to browse and manage project buckets, tables, and components efficiently through Claude Desktop.

A Model Context Protocol tool that retrieves daily stock market data for any stock symbol using the Alpha Vantage API.

MCP server for Lakehouse42, enabling code-first tool discovery, hybrid search, document management, and Iceberg time-travel queries with optimized responses.

Read-only MCP tools for TROCCO API, enabling workflow and BigQuery datamart audit information retrieval.

A Python MCP server that retrieves requirements and bug data from TAPD platform to provide AI clients with project management information.

Enables AI agents to interact with local SQLite databases with full CRUD, schema introspection, foreign key relations, generated columns, and multi-format import/export (CSV, JSON, XLSX) through natural language.

Enables high-precision detection, anonymization, encryption and decryption of personally identifiable information (PII) in text using GPT-4o-based detection and advanced cryptographic methods. Supports both deterministic encryption for searchable data and format-preserving encryption for structured identifiers.

Provides deterministic tools for transforming, formatting, and inspecting structured data for AI agents.

Enables management of GitHub workflows, issue templates, and repository configuration for the Frontal MCP Server project through CI/CD pipelines and security automation.

An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.

A production-ready MCP server that provides comprehensive dbt project quality assessment for any GitHub repository, enabling AI agents to analyze dbt models, check metadata coverage, and map data lineage.

Converts JSON data and system prompts to and from TOON (Token-Oriented Object Notation) format, reducing token usage by 30-60% when interacting with LLMs while preserving data structure.

A governed MCP server enabling LLM agents to query BigQuery, inspect GCS, trigger Airflow DAGs, and run data-quality checks with built-in security guardrails like allow-lists, cost ceilings, and audit trails.

Provides an isolated MCP gateway for SynapXnet AIOps, DataOps, and MLOps evidence-to-remediation workflows, with OAuth validation, scoped tool discovery, persistent approvals, and audit tracking.

A Model Context Protocol (MCP) server for LakeXpress — a database to Parquet export tool with sync management and data lake publishing.

Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool