"Information about Stripe" 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.

Enables agents to run support workflows across Gmail, Linear, Stripe, Slack, Notion and other apps — turning support email into tracked bugs with drafted replies, handling refunds end to end, and replying in-thread once issues are fixed.

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

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.

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

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.

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

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.

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

A demo MCP server for research project management that enables document ingestion, information extraction, project tracking, and report generation through MCP tools.

Provides integration with ClickUp's API, allowing you to retrieve task information and manage ClickUp data through MCP-compatible clients.

Enables LLMs to interact with the Pipefy GraphQL API to manage pipes, cards, database tables, and records through natural language. It provides tools for searching, creating, and retrieving detailed information about Pipefy workflows and database entities.

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

Gives AI assistants read access to SDLC project artifacts stored in Supabase, enabling natural language queries about projects, artifacts, screens, and tech stacks, with optional IT cost estimation via Vertex AI Gemini.

DevsContext is an MCP server that provides AI coding agents with synthesized engineering context—requirements, decisions, architecture, and standards—from tools like Jira and Slack. It fetches and synthesizes relevant information on demand to help agents work on tasks correctly.

Enables Claude to interact with LifeUp Cloud API on your local network for task management, achievements, and user information. Supports 20 tools including creating, editing, and querying tasks, achievements, and shop items.

Connects AI agents to the Ploomes CRM REST API, exposing 56 tools for managing contacts, deals, tasks, pipelines, interactions, quotes, orders, products, fields, users, and account information.

Enables interaction with self-hosted Jira instances using Personal Access Token authentication, letting users create, read, update, delete, and transition issues, search with JQL, and manage comments, assignments, projects, and issue types. Also supports fetching the current user's information and configuring custom fields and User-Agent headers for reverse-proxy setups.

Provides sprint and developer analytics from Jira, answering questions about sprint content, developer performance, and refinement readiness. Can publish reports to Confluence for easy sharing.