"Project Manager Agent positions" matching MCP servers:

Enables AI agents to discover, request access to, and query data products in Data Mesh Manager, enforcing governance policies while retrieving business data from platforms like Snowflake and Databricks.

Local MCP server for AI Model Manager that captures SQL data-model metadata and exposes it to MCP clients over stdio.

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

Enables AI agents to discover and query enterprise knowledge documents and business metrics through standardized MCP tools, supporting retrieval, structured sales/order analysis, anomaly scanning, and data lineage lookups.

Enables querying and mutating data across multiple sources (CSV, Google Sheets, SQLite, PostgreSQL, MySQL, MongoDB, Oracle) through a dynamic GraphQL API, with flexible filtering, batching, persisted queries, and dynamic source switching.

An MCP server that exposes Estuary Flow pipeline operations as typed tools, enabling agents to inspect pipeline health, publish captures and materializations, edit/restart tasks, and read landed documents via tool calls.

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

Provides real-time market data for A-shares, Hong Kong, and US stocks using the Tencent Finance API. It enables users to manage stock positions and watchlists through an AI assistant.

An unofficial MCP server that integrates with the Questrade API to provide access to trading accounts, market data, and portfolio information. It enables users to view balances, track positions, search symbols, and analyze market trends through natural language.

Provides tools for interacting with Interactive Brokers Gateway to access market data, account summaries, and portfolio positions. It enables users to perform contract lookups, retrieve historical OHLCV bars, and view real-time quotes through natural language interfaces.

Enables interaction with the Morpho GraphQL API, providing tools for accessing market data, vaults, positions, and transactions through a Model Context Protocol (MCP) server.

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

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

Enables AI assistants and editors to profile, clean, and analyze messy CSV/Excel files directly through MCP tools such as profile_dataset, clean_dataset, and list_sheets.

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 agents to answer analytics questions with provable correctness by resolving metrics through the semantic layer, tracing lineage, traversing knowledge graphs, checking freshness, and searching glossary definitions, while enforcing access controls and logging every call.

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.

Turns natural language into data pipeline actions using six specialist agents that collaborate through MCP to build, validate, and monitor data infrastructure.

An MCP server that provides data bridging from Spring Boot interfaces and a lightweight Python sandbox for script execution. It enables agents to fetch data as Markdown or Parquet files and perform automated data analysis within a controlled environment.

Provides an instant MongoDB MCP server that can be used from any AI agent without local installation.