"Information about PG Vector" matching MCP servers:

MCP server integrating OBSS Timepiece Time in Status for Jira, enabling queries about issue durations, status histories, and aggregated metrics via natural language.

A read-only MCP server that gives LLM agents deterministic operational facts about Trello boards, including structural history, card movement, workflow flow, staleness, and due-date information.

MCP server that gives LLMs full visibility into your ws-cli workspace tree, enabling queries about workspaces, git status, tasks, and saved browser tabs.

🧠 A high-performance PostgreSQL-backed MCP server acting as a super memory, task tracker, and dynamic database manager for AI agents. Features built-in connection pooling, a professional tasks schema, and a unique shared multi-agent coordination hub to prevent coding conflicts in real-time.

Provides capabilities for searching Jira issues using JQL and retrieving detailed issue information.

Integrates Rize.io's time tracking and productivity analytics with AI assistants via the Model Context Protocol, enabling natural language queries about productivity metrics, focus sessions, and project management.

Read-only MCP bridge connecting Claude Desktop to Merlin Project on Mac, allowing natural-language queries about plans, activities, resources, and project data.

Connects your Ashby recruiting data to Claude, enabling natural language queries and management of candidates, applications, jobs, interviews, offers, and team information.

Enables Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.

Enables AI assistants to securely connect to OpenProject workspaces and browse, query, and reason about projects, work packages, saved queries, and related metadata via the OpenProject REST API v3.

Captures comprehensive context about development issues and facilitates human assistance through structured API-based help requests.

Enables read-only intelligence over a Linear workspace by serving snapshot and change-history data stored in Cloudflare D1, so clients can answer questions about current work, project and milestone progress, member activity, and weekly reports without modifying Linear or invoking an LLM.

A zero-dependency MCP server that answers common questions about Jira work, such as what is assigned to me, standup status, sprint health, and more, without returning raw issue JSON.

Enables AI assistants such as Claude Desktop to access and manage amoCRM data—including leads, contacts, companies, tasks, pipelines, users, notes, and account information—through stdio or Streamable HTTP transports.

Integrates AI assistants with product management tools like Linear and Slack, providing specialized agents for discovery, strategy, prioritization, roadmap planning, and metrics definition via the Model Context Protocol.

Enables MCP-compatible AI clients to query, analyze, and mutate Oracle Primavera P6 schedules from XER files or live P6 EPPM, with tools for critical path, DCMA compliance, earned value, resources, baselines, and exports.

Connects Canvas LMS to Claude Desktop, enabling natural-language queries about courses, assignments, grades, and more.

A secure, vector-based task management server for Claude Desktop using sqlite-vec and sentence-transformers. It provides intelligent task tracking with semantic search capabilities to organize and retrieve development tasks efficiently.

MCP server that gives Claude Desktop access to school data from Studie+ (Danish school platform), enabling queries about schedules, homework, assignments, and files directly in chat.

Enables AI agents to access Planning Center Online data including worship plans, song library, teams, and volunteer information through natural language queries and direct tools.

A Model Context Protocol server that helps collect and structure project portfolio information through a guided conversation flow.

Enables PM radar analysis of Jira projects, providing daily, sprint, and backlog reports with issue context and search.

Enables AI assistants to draft customer-ready or internal release notes from work closed in GitHub, Jira, or Linear, using deterministic fetching and rule-based categorization that flags uncertain items in a review list instead of guessing. Everything stays read-only, so a human approves and publishes the final notes.

Turns Claude Code into an engineering project manager by orchestrating feature development with isolated Git worktrees, structured task validation, and approval-gated integration.

Integrates with Clockify time tracking API to retrieve user information, manage projects, and log time entries with flexible time specifications across workspaces.

MCP server to provide Jira Tickets information to AI coding agents like Cursor

Gives Claude four decision tools for product management: rank backlog, mine customer feedback, size sprint capacity, and trace dependency risk, all grounded in JSON data.

Model Context Protocol server that allows AI assistants to interact with Jira, supporting operations like creating tickets and fetching project information directly from the cursor.

MCP server providing tools for product management decision-making including backlog prioritization, feedback analysis, capacity assessment, and dependency mapping.

Enables managing employee information, tasks (todos), and company policies via MCP tools and resources.