"BIM" matching MCP servers:

Enables ISO 19650 and UK BIM Level 2 compliance for construction projects, validating EIR, BEP, MIDP, TIDP, and CDE structures.

Enables interaction with NIM Labs project tracking through a standardized MCP interface, supporting project management tasks like reading, verifying, migrating, and rolling up NIM projects alongside other trackers.

MCP server that wraps the BIP work-hour reporting CLI into 11 tools, enabling automated timesheet preview, scanning, submission, and approval management. It keeps internal credentials and configuration server-side, supporting both streamable HTTP and stdio transports.

Enables AI assistants to read and write to a personal knowledge vault of markdown notes, projects, and tasks, with tooling for search, capture, daily logs, and project management across different AI tools.

Connects AI assistants like Claude to productivity tools such as Notion, Monday, Jira, and Slack via a remote MCP integration hub.

Exposes the Yandex 360 Tracker, Wiki, and Forms REST APIs as agent tools, one per SDK/CLI operation plus a cross-cutting status tool. It supports both read and write operations with honest annotations, and can be started in a read-only mode for cautious deployments.

Enables connecting MCP hosts like Claude to various productivity tools (Notion, Monday, Jira, etc.) through a secure no-code integration hub.

Enables AI agents to securely interact with IBM OpenPages GRC platform through a standardized interface, supporting CRUD operations on objects like issues and controls.

A local kanban board and docs tool that AI agents can drive over MCP. It enables project management without accounts or API keys.

Enables external agents to inspect and interact with a local single-project workbench via MCP, providing read-only tools for state, audit, resume, readiness, comparison, impact preview, and repair candidates, while proposals are saved for manual confirmation in the workbench.

An MCP server that integrates with Jira and Confluence to enable AI-powered issue management, content search, and document creation. It supports both Cloud and on-premise deployments, allowing users to automate workspace tasks through natural language.

Enables AI assistants to dispatch legal vendor requests (court reporters, experts, e-discovery, etc.) and receive bids within minutes, with tools for matter management and negotiation.

Transforms scattered customer feedback from sources like Slack, Zoom, and JIRA into actionable product insights and AI-generated PRDs. It features over 50 tools for semantic clustering, sentiment analysis, and VOC-based prioritization to streamline product management workflows.

Serves project memory, tasks, docs, and conventions live over the Model Context Protocol, enabling AI assistants to query and manipulate workspace context directly. Exposes tools for task management, memory operations, search, and context health checks.

Enables AI clients to discover and invoke business tools for identifying inactive customers, searching internal knowledge, drafting follow-ups, and creating sales tasks.