"Business Intelligence and Research Tools for Sales" matching MCP servers:

Boilerplate for creating a remote MCP server on Cloudflare with user login (Google/GitHub) and Stripe payment processing, enabling both free and paid MCP tools.

Enables AI assistants to read and modify Microsoft Dynamics 365 Business Central data through the API v2.0, supporting CRUD operations on resources like customers, contacts, and sales orders with Azure CLI or client credentials authentication.

Enables MCP clients to interact with Microsoft Dynamics 365 Business Central entities, providing tools to get schemas, list, create, update, and delete records.

Enables an agent to guide secure onboarding, provision required Cloud.ru resources through APIs, stage and import sales CSV data into ClickHouse, and publish and verify revenue and contribution-margin dashboards in Managed BI with cost approval.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

Orchestrates distributed research drones on Google Cloud Run, enabling scalable and bidirectional research task management.

Enables AI coding agents to deploy and manage full multi-service applications on Constructor from a single request, covering image builds, service configuration, start/stop lifecycle, logs, and file syncing on research desks. It handles browser-based sign-in and token renewal automatically so agents can inspect deployments and report results without manual setup.

Enables declarative FDTD validation, guarded cloud-task workflows, and normalization of Tidy3D simulation results into metadata and bounded CSV observables, while keeping credentials and cloud-execution privileges isolated.

Provides a modular MCP server to integrate with IBM Data Intelligence services, enabling secure interaction with data intelligence capabilities via tools and skills.

Provides secure integration between MCP clients and IBM Data Intelligence services, enabling AI assistants to interact with IBM's data intelligence capabilities for data management and analytics operations.

Connects an LLM to your fleet of clusters via ACM or Multicluster Global Hub, enabling queries about fleet health, unhealthy clusters, and detailed cluster conditions.

Enables AI agents to query multi-cloud costs, inventory, waste, and commitments across AWS, GCP, Cloudflare, and OVH through read-only MCP tools.

Enables Codex and other agents to discover live AutoDL GPU stock, produce cost- and time-optimized rental plans with human review, and manage approved Elastic/Pro deployments through the official API.

Exposes Dynamics 365 Business Central data to MCP clients via standard v2.0 API or custom AL APIs, supporting read, write, and destructive operations with multiple authentication modes.

Enables AI assistants to analyze Azure Data Factory costs, detect waste, and provide optimization recommendations by querying pipeline run metadata and Azure pricing.

Enables AI assistants to manage Coolify infrastructure including servers, applications, databases, deployments, and 80+ one-click services through 98 comprehensive tools for both cloud and self-hosted instances.

Enables read-only queries against a GCP PostgreSQL database, exposing tools to fetch recent users, user details by ID, and recent user activities without returning password or hash columns.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

An unofficial MCP server that connects AI assistants to Akamai APIs, providing tools for edge diagnostics, debugging, and network analysis.

An MCP server for managing and monitoring Docker, Docker Compose, and Kubernetes environments alongside Azure Application Insights. It enables advanced log filtering, container lifecycle management, and querying of cloud application traces and metrics.