This server enables querying stock market data via the Investidor10 API. You can:
Fetch basic stock information using the get-acoes tool by providing an array of stock symbols
Query multiple stocks simultaneously by passing an array of symbols
Validate inputs through Zod and JSON schema validation
Integrate with Investidor10 API to retrieve stock market data
Use with MCP tools for configuration and management within VSCode
Provides input validation for MCP tools, ensuring data integrity when interacting with the Investidor10 API for stock market data.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Investidor10 MCP Server get current stock price for PETR4"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
This project is part of the Model Context Protocol (MCP) ecosystem and provides tools to interact with external APIs and manage specific domain models. It is designed to demonstrate how to build an MCP server with external API integration and data validation.
Related MCP server: Mercado Livre MCP Server
get-acoes: Fetch basic stock information.
Input validation using Zod.
Integration with the Investidor10 API using fetch (infrastructure layer).
The project follows a layered architecture inspired by Domain-Driven Design (DDD) patterns:
Domain (src/domain):
Defines interfaces and types that represent data structures (e.g., Investidor10).
Infrastructure (src/infrastructure):
Implements external services, such as Investidor10ApiService, responsible for making HTTP calls to the Investidor10 API.
Application (src/application):
Contains business logic in Investidor10Service, which processes and formats data from the infrastructure.
Interface (src/interface):
Includes controllers (Investidor10ToolsController) that register tools in the MCP server, define validation schemas, and return results.
Entry Point (src/main.ts):
Initializes the McpServer, configures the transport (StdioServerTransport), instantiates services and controllers, and starts listening on stdio.
The folder structure is as follows:
src/
├── domain/
│ └── models/ # Domain interfaces
├── infrastructure/
│ └── services/ # External API implementations (Investidor10)
├── application/
│ └── services/ # Business logic and data formatting
├── interface/
│ └── controllers/ # MCP tool registration and validation
└── main.ts # Server entry point
build/ # Compiled JavaScript code
.vscode/ # Contains the mcp.json file, MCP Server configgit clone git@github.com:newerton/mcp-investidor10.git
cd mcp-investidor10
npm install
npm run buildPress Ctrl+Shift+P and select "MCP: List Servers"
Select "stocks" and then "Start Server"
Press Ctrl+Shift+P and select "MCP: List Servers"
Select "stocks" and then "Show Output"
Pull requests are welcome! Feel free to open issues and discuss improvements.
This project is licensed under the MIT license - see the LICENSE file for details.
Buscar informações básicas de ações
| Name | Required | Description | Default |
|---|---|---|---|
| stocks | Yes | Array of stock symbols |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'buscar' (search) which implies a read operation, but doesn't specify whether it's safe, requires authentication, has rate limits, or what format the results come in. This leaves significant behavioral gaps for an agent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence in Portuguese that directly states the tool's purpose without any unnecessary words or structural issues. It's appropriately sized and front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'informações básicas' includes, the format of returned data, error conditions, or any behavioral constraints. The agent would need to guess about the tool's behavior and output.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 100%, with the parameter 'stocks' clearly documented as an array of stock symbols. The description doesn't add any additional parameter semantics beyond what the schema already provides, so it meets the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Buscar informações básicas de ações' clearly states the tool's purpose as searching for basic stock information, with a specific verb ('Buscar') and resource ('ações'). However, without sibling tools to differentiate from, it cannot achieve a perfect score for sibling differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, prerequisites, or contextual constraints. It simply states what the tool does without any usage instructions or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool has a distinct purpose focused on retrieving basic stock information.
A single tool inherently has consistent naming, as there are no other tools to compare against. The tool name 'get-acoes' follows a clear verb-noun pattern.
One tool is too few for a server named 'Investidor10 MCP Server', which suggests a broader financial or investment domain. This minimal set severely limits functionality and likely indicates significant gaps in coverage.
The server is severely incomplete for an investment domain. With only a tool to get basic stock information, it lacks essential operations like portfolio management, market analysis, transaction execution, or even updates/deletes for financial data.
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