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FlowMCP (Core) MCP Server

@FlowMCP

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

FlowMCP

关于 FlowMCP (Core) MCP Server

FlowMCP is a framework for adapting existing web APIs into a standardized Model Context Protocol (MCP) interface, enabling structured, testable, and semantically consistent access for AI systems.

FlowMCP (Core) MCP Server 配置

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代码仓库

FlowMCP (Core) MCP Server 工具

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概览

What is FlowMCP (Core)?

FlowMCP (Core) is a schema-based framework that bridges existing web APIs (REST or GraphQL) with AI systems by standardizing interaction using the Model Context Protocol (MCP). It abstracts complex APIs into structured schema definitions, enabling seamless AI-driven communication with external services.

How to use FlowMCP (Core)?

Install the FlowMCP package, import the schema and server SDK, then call FlowMCP.activateServerTools() to register tools on an MCP server instance. Connect the server via StdioServerTransport(). Schemas are defined in .mjs files exporting a const schema = {} object following the specification.

Key features of FlowMCP (Core)

  • Schema-based integration with structured, AI-interpretable route definitions.
  • Modifier system for pre-, post-, and execute-phase logic injection.
  • Inline parameters with Zod validation (string, number, boolean, enum).
  • Built-in test cases per route to verify real-world API interactions.
  • Text-based output in clear, human-readable format.
  • Schema generator tool (ChatGPT-based) for automatic schema creation.

Use cases of FlowMCP (Core)

  • Connecting an AI assistant to blockchain data APIs (e.g., Chainlink, Etherscan).
  • Exposing a collection of REST endpoints as MCP tools for LLM consumption.
  • Rapidly prototyping MCP-compatible servers from existing API documentation.
  • Validating API schemas with embedded tests before deployment.

常见问题

1

What makes FlowMCP different from just writing MCP tools directly?

FlowMCP enforces a versioned schema format with inline parameter validation, modifier hooks, and built-in test coverage, reducing boilerplate and ensuring compatibility across AI systems.

2

What are the runtime requirements?

The server uses the `@modelcontextprotocol/sdk` and requires a JavaScript runtime supporting ES modules (`import`/`export`). A typical setup runs on Node.js with a `StdioServerTransport`.

3

Where do API keys and secrets live?

Required server parameters (e.g., `API_KEY`) are passed at activation time via `serverParams` and referenced in the schema using `{{...}}` placeholders. The README does not specify storage of secrets beyond that.

4

How do I test a schema locally?

Each route includes a `tests` array with sample inputs. You can use `FlowMCP.validateSchema()` and `FlowMCP.getAllTests()` to verify schemas programmatically.

5

What transport does the server use?

The example uses `StdioServerTransport` from the MCP SDK. No other transports are mentioned in the README.

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