"FastMCP-based server for inventory, billing, payments, project management, or ecommerce" matching MCP servers:

An MCP server that enables natural language catalog search, cart management, and checkout workflows against the Fake Store API, with strict schemas and session-persistent carts.

Production-grade, token-optimized FastMCP SQLite Server with O(1) schema discovery, opcode watchdog, and fuzzy self-healing.

A typed FastMCP server that wraps Tavily's web research API, providing tools for search, extract, map, crawl, and research workflows via MCP with prompts and resources.

A demo MCP server exposing billing operations (invoices, customers) with no built-in safety, designed as a test target for NitroWatch governance. It allows reading, sending, archiving, and permanently deleting accounts/invoices without confirmation.

A note-taking knowledge base MCP server that enables CRUD operations on notes with tags, resource listing/detail, and prompt-based analysis and brainstorming.

Universal billing gateway for MCP servers. Add Stripe subscription billing to any MCP server with one line of code. Supports tiered plans, usage tracking, and automatic access control.

Enables agents to run 14 billing and finance workflows across Stripe, Gmail, Slack, Google Calendar, Sheets, Drive, Docs, GitHub, Shopify, Linear and Notion — from generating invoices and chasing failed payments to reconciling payouts, assembling dispute evidence and building revenue and fee reports. Reads run automatically, while anything that creates, sends, changes or deletes is shown for approval first.

Stripe Billing - MCP server providing AI-powered tools and automation by MEOK AI Labs

A FastMCP-based server that exposes the Jelly API as MCP tools, enabling management of conversations, labels, contacts, drafts, and more through natural language.

A local, read-only MCP server (plus CLI) over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk with bootstrap confidence intervals and validates targets with walk-forward verdicts. The assistant narrates, but the number fence makes it structurally impossible for the model to produce a figure.

Provides a production-ready FastMCP Python server boilerplate with structured logging, rate limiting, and config validation for building MCP servers compatible with Claude and other agents.

Enables AI agents to reconcile ledger, PSP, and bank data, triage chargebacks, draft evidence packs, and check refund policy against contract terms while keeping all actions read-only or human-confirmed.

A local-first Model Context Protocol server that provides LLM agents with structured access to e-commerce data (products, inventory, orders, sales analytics) using a realistic mock dataset, zero configuration, and a swappable DataProvider interface for live APIs.

Enables AI agents to manage inventory conversationally: list and look up products, check current stock levels, record inbound and outbound movements idempotently, review movement history, and surface items below their minimum threshold. Every figure is grounded in tool calls rather than model estimation, and invalid operations return explicit error codes the agent can reason about.

Enables safe, read-only analysis of e-commerce data, including semantic product search, sales summaries, top products, customer orders, and low-stock alerts, through MCP tools and a LangGraph agent.

Gives Agent Studio agents read-only access to a merchant's stock, sales orders and delivery records, so they can check sellable availability across SKUs and warehouses before pitching, and pull carrier, AWB and delivery facts as evidence for disputes or "where is my order" questions. It handles OAuth, rate limiting, PII masking and pagination, and runs offline in demo mode.

Enables connecting to Shopify and Meta Ads through MCP tools to retrieve orders, revenue, COGS, and ad-performance metrics, and to generate a combined daily P&L and ad-performance spreadsheet.

A local MCP server providing payment validation tools and resources, including card number Luhn checks, card network detection, and IBAN validation, with no network calls required.

MCP server for TheHive that enables AI agents to manage cases, alerts, observables, and tasks.

Enables AI agents to search products, lookup barcodes, and manage shopping carts and wishlists using free e-commerce APIs.

Intent-based project documentation server that automatically maps natural language queries to the right sources (plans, todos, roadmap, docs) and provides comprehensive task management with dependency tracking, backlog promotion, and archival workflows.

Provides SQL database access via MCP, supporting PostgreSQL, MySQL, and SQLite with tools for listing tables, getting schemas, and executing queries.

Enables developers and AI agents to create, verify, refund, and check payments across multiple Indian payment gateways through one unified MCP toolset, with subscriptions, customers, webhooks, settlements, capability discovery, and credential-free mock testing.

Enables AI assistants to query six Google services used by an online shop—GA4, Search Console, Merchant Center, Tag Manager, Indexing API, and PageSpeed—through read-only tools, answering questions about organic traffic, product disapprovals, indexing, tag configuration, and site performance.

A Trello MCP server that enables AI assistants to manage boards, cards, and lists via the Model Context Protocol.

Exposes employee leave-management operations (add employees, check balance, apply/cancel leave, view history) as MCP tools for AI clients like Claude Desktop to call directly.

MCP server for interacting with Google Gmail and Calendar via natural language, supporting multiple accounts.

A FastMCP server that exposes predefined artifacts as Resources and project lifecycle operations as Tools for creating, updating, deploying, debugging, testing, monitoring, and configuring projects with minimal token usage.

Enables interaction with openGauss databases through multiple transport methods (Stdio, SSE, Streamable-Http). Supports database operations and queries with configurable connection parameters.

Analyzes Python project structure by exploring directory trees, extracting outlines from Python and Markdown files, and inspecting OpenAPI specifications.