"Analysis of March 18th JFK Assassination Document Releases" matching MCP servers:

Runs 20 slash-command workflows across Google Calendar, Gmail, Linear, Slack, Granola, Google Docs, GitHub, Stripe, Notion, Google Forms, Sheets and Drive to produce morning briefs, meeting prep, action items assigned to owners and weekly updates. Reads proceed without asking, while anything that creates, sends, changes or deletes is shown for approval first.

A powerful Model Context Protocol (MCP) server for seamless Jira integration with AI assistants like Claude. Features advanced search capabilities, intelligent pod aliases, comprehensive ticket analysis, and full API support.

Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.

Enables AI-powered task management in OmniFocus with support for project reviews, planned dates, repeating tasks, custom perspectives, hierarchical subtasks, and advanced filtering. Perfect for Claude AI integration with comprehensive CRUD operations for tasks, projects, and folders.

Provides a document database with search, retrieval, and creation tools, and a task tracker with search and status filtering, enabling AI agents to manage documents and tasks via natural language.

Enables the analysis of GitHub Pull Requests to extract metadata, commits, and code changes for structured AI insights. It also supports the optional creation of Notion pages to store and organize the resulting analysis.

An MCP server that enables AI assistants to interact with Atlassian Jira and Confluence across Cloud and Server/Data Center environments. It supports tasks like searching and summarizing documentation, managing Jira issues, and creating content through natural language.

Enables interaction with Siemens Polarion requirements management system through natural language. Supports authentication, project management, work item queries, document access, and requirements analysis.

Manage Kanboard projects, tasks, columns, swimlanes, comments, and file attachments via natural language. TypeScript implementation with 37 tools, multi-project routing via .kanboard.yaml, Docker multi-arch image, and provenance-signed npm releases.

Enables coding agents to read and modify GitHub issues, project boards, pull requests, repositories, releases, and Actions through configurable toolsets, with read-only and write-confirmation controls.

Product management over a shared product spine — link customer feedback and insights to features, tasks, sprints and releases, then read closed-loop analytics (customer 360, funnels, retention, NRR) on the same records. Local stdio server via npx @aioproductoscom/mcp; also a 38-tool hosted remote (OAuth 2.1).

Exposes a dependency graph of strategic sourcing artifacts and analyses as an MCP server, enabling navigation of phases, analyses, deliverables, and graph traversal for impact analysis and build order.

Enables users to manage multi-repo releases on GitLab through natural language: start, reconcile, approve, bump, and explain releases without blocking pipelines.

Integrates with Dradis Pro to manage projects, vulnerabilities, content blocks, and document properties through MCP-enabled tools.

Enables AI models to perform IT service management operations on Freshservice, including managing tickets, changes, problems, releases, assets, projects, and more through a set of MCP tools.

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.

Enables AI assistants to query and manage PingCode project management data, including work items, releases, bugs, and requirements through natural language interactions.

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

Enables AI assistants to query GitHub repository insights such as health, commit activity, stale pull requests, contributor stats, releases, and issue backlogs through MCP tools.

Enables Claude to interact with Things 3 task management, allowing creation, analysis, and management of tasks, projects, and tags via natural language.

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.

A Dart-based MCP server implementation that enables AI-assisted task management, document handling, and workspace organization through standardized tools and seamless Dart integration.

An MCP server that gives LLM agents structured, safe, and traceable access to engineering project documentation stored in Markdown/Git repositories, enabling management of requirements, decisions, tests, tasks, and impact analysis.

A read-only MCP server connecting AI assistants to Azure DevOps Server (on-premises) for browsing projects, repos, builds, work items, releases, pipelines, and test results.

A Model Context Protocol server that enables AI assistants to create and manage JIRA issues with rich markdown formatting and automatic conversion to Atlassian Document Format.

| Field | Value | |-------|-------| | Repository URL | https://github.com/bobbyrgoldsmith/quarterback | | Name | Quarterback | | Description | Strategic task prioritization and agent orchestration for multi-project operators. 22 MCP tools with 5-factor scoring, advisory document analysis, agent orchestration, webhooks, and time-aware planning. | | Category | Produc

Persistent multi-agent work graph and document-state machine for contracts, specs, slices, evidence, verification, handoffs, and cost-aware AI execution.

Exposes Panaya REST APIs as MCP tools for managing entities like projects, requirements, tests, defects, releases, cycles, and business processes. Enables Claude or any MCP client to perform CRUD operations on Panaya data via natural language.

An MCP server that helps teams create, manage, and access structured project documentation through six core document types, leveraging AI to generate comprehensive project knowledge management.

Converts a plain-english goal into a structured plan document: Gantt chart, risk, stakeholders, SWOT, and role descriptions. A detailed first draft - expect to verify budgets and timelines before use.