"Gcore" 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.

Read-only-by-default MCP server for Datanika, an open-source dlt + dbt-core data pipeline platform: browse connections, introspect and preview source tables, compile and run dbt transformations, and monitor pipeline runs. 25 tools (17 read-only, plus 8 write tools gated behind --allow-write); source lives in the datanika-mcp/ subdirectory of the repo.

Enables AI models to interact with IBM FileNet Content Manager for document management, folder operations, metadata handling, search, and content extraction through a standardized interface.

Enables interaction with Marlo's maritime finance and operations platform, providing access to vessel management, voyage tracking, financial data, banking transactions, loans, compliance reporting, and operational analytics for shipping businesses.

A Python MCP server that lets you manage Microsoft Fabric through natural language in Claude Code or Claude Desktop, with 77+ tools covering workspaces, lakehouses, warehouses, SQL, DAX, semantic models, notebooks, pipelines, OneLake, and Microsoft Graph.

Enables MCP clients such as Claude Code, Codex, and Cursor to store, query, update, and share schema-less JSON records in a self-hosted Postgres-backed database across sessions.

A minimal, production-ready MCP server boilerplate for building AI-powered backend services with TypeScript, MongoDB, and JWT authentication.

Enables AI agents and IDE copilots to reach Jira, Neo4j, Teradata, and a business rule engine through one governed, multi-tenant endpoint that applies authentication, role-based tool authorization, guardrail checks, layered rate limiting, audit logging, and envelope encryption. It also exposes a live Neo4j graph schema resource and a Cypher-composition guidance prompt so clients can discover and query connected data safely.

Enables clients to inspect strategy catalogs and stock pools, run real backtests with performance metrics, fetch recent quotes, and view risk and trading-cost configuration for an A-share quant framework.

MCP server that enables LLMs to interact with ERPNext/Frappe sites for document CRUD, search, reports, workflows, and analytics, respecting user permissions and logging all actions.

Enables the analysis of DBT manifests with automatic schema version detection and lineage tracking, allowing users to query model dependencies, access compiled code, and get detailed model information.

Enables AI agents to investigate incidents by safely querying PostgreSQL, triaging GitHub issues, retrieving ERP order data, and sending Slack alerts, with AST-validated SQL and human-in-the-loop safeguards.

A governed MCP server that enforces a trust layer between AI agents and databases, requiring sign-off on joins and metrics and producing auditable receipts for every query.