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batprem

SET-MCP

by batprem
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

SET-MCP

SET-MCP is a Python package that provides tools for serving Model Context Protocol which can access the Securities Exchange of Thailand (SET). It allows AI agents to retrieve comprehensive financial statements including income statements, balance sheets, and cash flow statements for listed companies.

Features

  • Retrieve financial statements for SET-listed companies

  • Support for multiple financial statement types:

    • Income Statement

    • Balance Sheet

    • Cash Flow Statement

  • Historical data retrieval with customizable date ranges

  • Command-line interface for easy integration

  • FastMCP integration for enhanced functionality

Related MCP server: MCP OpenDART

Installation

The package requires Python 3.11 or higher. You can install it using pip:

pip install set-mcp

Installing via Smithery

To install set-mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install set-mcp --client claude

Usage

Command Line Interface

The package provides a command-line interface for easy access to financial data:

set-mcp --transport stdio

Using with uvx

Run

uvx set-mcp

Using with pipx

pipx install set-mcp
pipx run set-mcp

MCP.json example

{
    "mcpServers": {
      "set_mcp": {
        "command": "/path/to/bin/uvx", // Edit to your uvx path
        "args": [
            "set-mcp"
        ],
      }
    }
}

Vercel

Coming soon

Available options:

  • --port: Port to listen on for SSE (default: 8000)

  • --host: Host to listen on (default: 0.0.0.0)

  • --transport: Transport type (choices: stdio, sse, default: stdio)

Note: SSE is not yet implemented

Python API

You can also use the package programmatically in your Python code:

from set_mcp import get_financial_statement

# Get financial statements for a specific company
result = await get_financial_statement(
    symbol="PTT",  # Company symbol
    from_year=2023,
    to_year=2024
)

Development

Setup Development Environment

  1. Clone the repository:

git clone https://github.com/yourusername/set-mcp.git
cd set-mcp

  1. Create and activate a virtual environment:

python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

  1. Install development dependencies:

pip install -e ".[dev]"

Running Tests

python test_client.py

The output should be no error

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Author

Available Tools

1 tool
get_financial_statementA

Get the balance sheet of stock in The Securities Exchange of Thailand (SET).

Args:
    symbol (str): Stock symbol in The Securities Exchange of Thailand (SET).
    from_year (int): The start YEAR of the financial statement for example 2024.
    to_year (int): The end YEAR of the financial statement for example 2024.

Returns:
    str: The constructed financial statement.
    Include Income Statement, Balance Sheet, and Cash Flow Statement in CSV format with | as the delimiter.
ParametersJSON Schema
NameRequiredDescriptionDefault
symbolYes
from_yearYes
to_yearYes

TDQS

A3.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Description discloses output format (CSV with | delimiter) and content scope (three statements). No annotations exist, so the description provides basic behavioral info but lacks details on data recency, authorization, or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is structured as a docstring with Args and Returns sections, making it easy to parse. Slight redundancy (first sentence vs Returns) prevents a 5, but overall concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (three parameters, no output schema), the description adequately covers input definitions and output description. Adding note on data temporal scope (e.g., real-time vs. delayed) would enhance completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% description coverage, but the description adds meaning for all three parameters: symbol context (SET stock), from_year and to_year with examples. This compensates strongly for the schema gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly identifies the tool as retrieving financial statements for SET stocks. However, the first sentence mentions only 'balance sheet' while the Returns section lists all three statements (income, balance, cash flow), creating minor inconsistency.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool or its alternatives. Since there are no sibling tools, the need is reduced, but describing typical use cases would improve clarity.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 1 tool update
    • First observedget_financial_statement
Install Server
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TDQS

A3.7/5.0
Disambiguation5/5

With only one tool, there is no risk of confusion between tools. The tool's purpose is clearly defined.

Naming Consistency5/5

The single tool name 'get_financial_statement' follows a consistent verb_noun pattern, which is clear and predictable.

Tool Count3/5

One tool is borderline for the server's purpose. While it provides a specific function, the scope could warrant additional tools (e.g., listing stocks).

Completeness3/5

The tool returns comprehensive financial statements, but lacks supporting features like listing available symbols or filtering by statement type, which are notable gaps.

Maintenance

ActivityInactive
ResponsivenessSyncing

Resources

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