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MCP 工具与服务目录

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正式条目

87,640

可复制安装

36,828

最近生成

2026-05-22

办公协作未说明

Generates customized, production-grade MCP servers for Rocket.Chat by selecting only the specific API endpoints needed for a project to minimize context bloat and token usage. It uses natural language processing to parse official OpenAPI specs and automatically create optimized TypeScript servers with built-in authentication and tests.

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MCP server for Salesforce marketing and revenue ops teams. 47 tools covering leads, contacts, accounts, campaigns, campaign members, tasks, and 17 reporting tools including campaign ROI, lead-source attribution, pipeline-by-campaign, multi-touch campaign influence, MQL trend, forecast summary, and the native SFDC Reports API.

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Enables creation and management of scheduled tasks with interval, cron, or one-time triggers. Persists tasks in SQLite and supports MCP sampling to automatically invoke AI agents when schedules trigger.

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Enables comprehensive email marketing and transactional email operations through SendGrid's API v3. Supports contact management, campaign creation, email automation, list management, and email sending with built-in read-only safety mode.

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Integrates Sentry error tracking and JIRA project management APIs, enabling users to query organizations, projects, and issues from Sentry, and retrieve or update JIRA ticket information through natural language.

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Enables booking cleaning services in San Francisco by collecting customer details and automatically sending booking requests via email to service partners.

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Enables Claude Desktop to interact with Salesforce for order management, including checking order status, creating returns, managing cases, and sending Slack notifications for customer service operations.

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Enables interaction with Shiprocket shipping services to check courier rates and delivery times, create and manage orders, ship packages, track shipments, and schedule pickups through natural language commands.

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Provides Jira Cloud integration for AI agents, enabling them to search issues with JQL, retrieve detailed issue information, and create new tickets. It supports multiple Jira configurations and provides tools for managing attachments and comments through natural language.

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Interact with Slack Workspaces over the Slack API. Supports stdio and Streamable HTTP transport. Extended from Anthropic's archived server

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Enterprise-grade Slack integration with compliance audit trails for AI agents. Every action is logged locally for governance, regulatory compliance, and security review.

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Enables users to collect, search, and retrieve product feedback and full conversation threads directly from Slack channels. It supports filtering messages by specific stakeholders and time ranges to facilitate efficient feedback analysis.

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Enables Claude to collect and search for product feedback directly from Slack workspaces. It provides tools for pulling stakeholder messages with date filtering, retrieving full conversation threads, and searching feedback by keywords.

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Enables AI assistants to interact with Slack Lists through comprehensive tools for creating, retrieving, filtering, and managing list items. Supports bulk operations, data export, subtask creation, and all Slack List field types with robust error handling and production-ready implementation.

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An MCP server that provides comprehensive access to the Slack Web API, enabling AI agents to search messages, manage channels, and create canvases. It features 13 core tools and over 300 dynamic methods for complete automation of Slack workspace operations.

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A simple Model Context Protocol server for Slack integration that enables messaging, channel management, and workspace search capabilities.

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A .NET-based Model Context Protocol server and Python client for interacting with the Slack Web API. It enables AI models to manage channels, send messages, retrieve chat history, and handle emoji reactions.

办公协作未说明

Enables comprehensive interaction with Slack workspaces, allowing users to manage channels, send messages, and search history. It supports managing reminders, pins, reactions, and user information through the Model Context Protocol.