"Building and Using MCP Tools" matching MCP servers:

Validates startup ideas with a deterministic scorecard, evidence brief, and verdict before code is written, integrating with MCP-aware build agents to avoid building dead-on-arrival products.

Provides market-intelligence tools for researching AI employee opportunities across Egypt, Saudi Arabia, and UAE using Meta ads evidence, with capabilities for competitor analysis, comparison, and evidence retrieval.

A federated MCP server that combines IBM's engineering-ai-hub tools with its own authoring and orchestration tools for IBM ELM, enabling AI hosts to manage requirements, models, and compliance through a single interface.

A demo MCP server exposing an in-memory todo list via tools (add_task, list_tasks, complete_task), a resource, and a prompt, over both stdio and HTTP transports.

MCP server that enables structured decision-making using weighted decision matrices, sensitivity analysis, and robust recommendations.

Enables AI agents to guide users through pretotyping, turning raw ideas into Lean Canvases, testable hypotheses, and small experiments to validate demand before building.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

Enables interaction with Posthog through a standardized MCP interface, providing access to Posthog's tools and services for analytics and product management.

Enables AI agents to interact with Plane project management APIs, offering tools for managing projects, work items, cycles, modules, initiatives, and more through MCP.

MCP server for product analytics using dot plots to visualize individual user activity, with tools for user classification, aha moment detection, retention analysis, and generating shareable HTML reports.

A Model Context Protocol server that provides Monte Carlo forecasting tools for project duration, cost, completion dates, and sensitivity analysis using three-point estimates and historical throughput.

A local MCP server for Jira Server/Data Center that enables Claude and Codex to manage issues, comments, transitions, worklogs, and links through the Jira REST API v2 using Basic Auth.

Provides Claude with tools to make Ship/Delay/Kill recommendations on feature requests using product metrics, roadmap, and OKRs.

Enables product comparison and analysis for any MCP-compatible AI assistant, with tools like compare_products and list_products.

MCP server that exposes project status tools (plan, milestones, RAID items, blockers) allowing AI assistants to retrieve and analyze project information via natural language.

Enables AI assistants to identify and quantify value leaks in organizations using Melt's methodology, providing structured estimates instead of generic vendor lists.

MCP server for Taiga project management, enabling LLM clients to inspect and manage projects, work items, sprints, comments, attachments, and wiki pages via 6 op-dispatching tools.

An MCP server for accelerator programs to query, review, and manage startup applications via natural language. It enables searching applications by sector or impact score, fetching full application details with reviewer notes, listing pending reviews, and flagging applications for panel discussion.

MCP server for Huly (task tracker) integration

An MCP server that reads a team's interviews, tickets, and docs to build a model of the product, exposing tools to ask questions, list contradictions and gaps, and draft documents, with all answers citing their source fragments.