"Tools for Data Analysis" matching MCP servers:

Enables creating Jira issues and listing issue types for a Jira Cloud project using Basic Auth credentials.

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.

Exposes 3 meta-tools to efficiently search and execute 174 backend CRUD tools, reducing context token usage by ~98%.

Exposes the WCC event, mentorship, and analytics pipeline tools as MCP endpoints with per-group authentication and dry-run support, enabling agents to manage events, mentors, and analytics.

Provides task and project management tools for AI agents, including todo list management, prioritization frameworks like Eisenhower Matrix and RICE scoring, time estimation using PERT, daily standup generation, and sprint burndown calculation.

Provides construction-supervision tools for small-to-medium building projects, including stage guidance, inspection checklists, progress tracking, next-stage recommendations, and quotation analysis. It enables local, standards-based MCP interaction over stdio without third-party MCP SDKs.

Enables AI agents to read-only inspect an OmniFocus database, retrieving exact tasks and projects, Inbox roots, complete project hierarchies, tags, dates, notes and workload or review overviews. All access is read-only and bounded, with no mutation, write tools or sync triggers.

Enables querying and managing Clockodo time-tracking data through natural language, with read tools for daily use and guarded write tools for safe edits.

Remote MCP server for 2ools—build, version, review, and export websites, web apps, and games from the AI chat you already use. This repository includes a credential-free stdio proxy and Dockerfile that forward introspection to the verified remote endpoint without mocking tools.

MCP server that connects to Jira Data Center, enabling issue search, retrieval, creation, comments, workflow transitions, project listing, arbitrary JQL, and turning meeting notes into structured Jira stories, tasks, and bugs.

Enables AI assistants like Claude to interact with Lychee Redmine project management systems through API integration, allowing natural language access to project data and operations.

A TypeScript-based server that enables Cursor editor to interact with Jira tickets for viewing, creating, commenting on, and updating tickets directly from the editor.

MCP server for Microsoft To Do via Microsoft Graph. MSAL device code flow, no client secret needed.

A Model Context Protocol server that enables AI assistants to interact with Sentry for error tracking and monitoring, allowing retrieval and analysis of error data, project management, and performance monitoring through the Sentry API.

Provides AI assistants with tools to query, filter, and analyze JIRA issues stored in Snowflake, enabling natural language interaction with issue data.

Enables restaurant management through natural language, allowing import of Toast CSV data, labor/sales analysis, tip pool calculations, task management, and note-taking.

A production-ready MCP server that connects AI assistants to the D-Tools System Integrator platform, enabling natural language management of AV projects, clients, catalogs, tasks, service orders, and purchase orders.

An AI-powered Product Management Operating System that provides tools for PRDs, user stories, prioritization, competitor analysis, roadmaps, KPIs, meeting notes, and product strategy via MCP clients.

This server implementation allows AI assistants to interact with Asana's API, enabling users to manage tasks, projects, workspaces, and comments through natural language requests.

A Model Context Protocol server that provides seamless integration with Coroot observability platform, enabling monitoring of applications, analysis of performance metrics, examination of logs and traces, and management of infrastructure through Coroot's comprehensive API.