MCP Servers Collection

The MCP Servers Collection is a curated set of Model Context Protocol (MCP) servers that extend the capabilities of AI assistants such as Claude by providing direct access to a range of external services. By exposing these services through the MCP, developers can seamlessly inject real‑world data and actions into conversational AI workflows without writing custom integrations from scratch.

Solving the Integration Bottleneck

Traditional AI assistants rely on static knowledge bases or require developers to build bespoke API wrappers for every third‑party service. This approach is time‑consuming, error‑prone, and hard to maintain as APIs evolve. The MCP servers in this collection solve that problem by offering ready‑to‑use, well‑documented endpoints that adhere to a single, language‑agnostic protocol. Developers can simply register the desired server with their AI assistant and begin calling its tools or querying its resources, reducing integration time from weeks to minutes.

What the Servers Do

Each server implements a specific domain of functionality:

• Brave Search: Performs web and local searches via the Brave Search API, enabling AI to retrieve up‑to‑date information from the internet.
• Brasil API: Exposes Brazilian public datasets such as postal codes (CEP), business registries (CNPJ), and vehicle pricing (FIPE), allowing applications to validate or enrich local data.
• Google Calendar: Provides full CRUD operations on Google Calendar, supporting OAuth2 and API tokens for secure scheduling and event management.
• Ploomes CRM: Gives access to customer, deal, contact, and activity data in Ploomes, facilitating CRM‑centric workflows.
• Slack: Enables interaction with Slack workspaces—listing channels, sending messages, replying to threads, adding reactions, and fetching user profiles.

These servers expose resources (queryable data sets), tools (actions that modify state or perform operations), and even custom prompts, all through a standardized interface.

Key Features in Plain Language

• Standardized API: All servers conform to the MCP specification, ensuring consistent request/response patterns regardless of underlying service.
• Rich Authentication Support: OAuth2, API tokens, and other credential mechanisms are baked in where required (e.g., Google Calendar).
• Modular Design: Each server is packaged as an NPM module, making it easy to add or remove functionality from a project.
• TypeScript SDK: The servers are built with the official TypeScript MCP SDK, guaranteeing type safety and ease of integration in JavaScript/TypeScript environments.
• Extensibility: Developers can fork the repository, add new servers, or customize existing ones without touching the core MCP logic.

Real‑World Use Cases

• Dynamic Knowledge Retrieval: A customer support bot can query Brave Search for the latest product information or FAQs before responding.
• Local Data Validation: An e‑commerce platform can use Brasil API to verify shipping addresses or validate business IDs during checkout.
• Automated Scheduling: A virtual assistant can create, update, or cancel events in Google Calendar based on user requests, handling time zone conversions automatically.
• CRM Automation: Sales teams can trigger Ploomes CRM actions—such as logging a call or updating a deal stage—directly from conversational prompts.
• Team Collaboration: Slack integration allows an AI to post updates, create reminders, or fetch channel membership lists without leaving the chat interface.

Integration with AI Workflows

To use these servers, a developer registers the desired NPM package with their MCP‑enabled AI assistant. Once registered, the assistant can invoke tools or query resources as part of its reasoning loop. For example, when a user asks for the next meeting slot, the assistant can call the Google Calendar tool to fetch free slots and propose a time. The MCP framework handles serialization, authentication, and error handling, letting developers focus on higher‑level business logic.

Standout Advantages

• Rapid Time to Value: Plug‑and‑play servers eliminate the need for custom wrappers, slashing integration effort.
• Consistent Security Model: Centralized handling of credentials across servers reduces attack surface and simplifies compliance.
• Community‑Driven Expansion: The open‑source nature invites contributions, ensuring the collection stays current with evolving APIs.
• Cross‑Platform Compatibility: Built on the MCP spec, these servers work with any AI assistant that implements the protocol, not just Claude.

In summary, the MCP Servers Collection empowers developers to enrich AI assistants with powerful external capabilities—search, data validation, calendar management, CRM interaction, and team collaboration—through a unified, standards‑based interface that accelerates development and enhances