rmcp-openapi
A Rust workspace providing OpenAPI to MCP (Model Context Protocol) conversion tools.
Overview
This workspace contains two crates that work together to bridge OpenAPI specifications and the Model Context Protocol (MCP):
rmcp-openapi(library): Core functionality for converting OpenAPI specifications to MCP toolsrmcp-openapi-server(binary): MCP server executable that exposes OpenAPI endpoints as tools
This enables AI assistants to interact with REST APIs through a standardized interface.
Features
- Automatic Tool Generation: Parse OpenAPI specifications and automatically generate MCP tools for all operations
- Flexible Spec Loading: Support for both URL-based and local file OpenAPI specifications
- HTTP Client Integration: Built-in HTTP client with configurable base URLs and request handling
- Parameter Mapping: Intelligent mapping of OpenAPI parameters (path, query, body) to MCP tool parameters
- Smart Parameter Handling: Optional array parameters with empty values are automatically omitted from HTTP requests for OpenAPI compliance
- Output Schema Support: Automatic generation of output schemas from OpenAPI response definitions
- Structured Content: Returns parsed JSON responses as structured content when output schemas are defined
- Dual Usage Modes: Use as a standalone MCP server or integrate as a Rust library
- Transport Support: SSE (Server-Sent Events) transport for MCP communication
- Comprehensive Testing: Includes integration tests with JavaScript and Python MCP clients
- Built with Official SDK: Uses the official Rust MCP SDK for reliable protocol compliance
Installation
Install Server Binary
Build from Source
# Build entire workspace
# Build specific crates
Using as a Library
Add to your Cargo.toml:
[]
= "0.8.2"
Usage as a Library
Basic Example
use Server;
use Value;
use Url;
Advanced Example with Custom Configuration
use Server;
use HeaderMap;
use Value;
use Url;
async
Usage as an MCP Server
Basic Usage
# Basic usage with Petstore API
# See all available options
MCP Client Connection
The server exposes an SSE endpoint for MCP clients:
http://localhost:8080/sse
Example with Claude Desktop
Add to your Claude Desktop MCP configuration:
Example with JavaScript MCP Client
import from '@modelcontextprotocol/sdk/client/index.js';
import from '@modelcontextprotocol/sdk/client/sse.js';
const client = ;
const transport = ;
await client.;
// List available tools
const tools = await client.;
console.log;
// Call a tool
const result = await client.;
Generated Tools
The server automatically generates MCP tools for each OpenAPI operation:
- Tool Names: Uses
operationIdor generates from HTTP method + path - Parameters: Maps OpenAPI parameters (path, query, body) to tool parameters
- Descriptions: Combines OpenAPI
summaryanddescriptionfields - Validation: Includes parameter schemas for validation
- Output Schemas: Automatically generated from OpenAPI response definitions
Example generated tools for Petstore API:
addPet: Add a new pet to the storefindPetsByStatus: Find pets by statusgetPetById: Find pet by IDupdatePet: Update an existing petdeletePet: Delete a pet
Parameter Handling
The server implements intelligent parameter handling to ensure OpenAPI specification compliance:
Array Parameters
- Empty Optional Arrays: Optional array parameters with empty values (
[]) are automatically omitted from HTTP requests - Non-Empty Optional Arrays: Optional arrays with values are included normally
- Required Arrays: Required array parameters are always processed, even when empty
- Arrays with Defaults: Optional arrays with default values are always included, even when empty
Examples
// These parameters...
// ...generate this HTTP request:
// GET /endpoint?requiredTags=&optionalWithDefault=&nonEmptyOptional=tag1
This behavior ensures that HTTP requests conform to OpenAPI specifications where optional parameters should be omitted when not needed, while preserving required parameters and those with explicit defaults.
Output Schema Support
The server now generates output schemas for all tools based on OpenAPI response definitions. This enables:
- Type-Safe Responses: MCP clients can validate response data against the schema
- Structured Content: When an output schema is defined, the server returns parsed JSON as
structured_content - Consistent Format: All responses are wrapped in a standard structure:
This wrapper ensures:
- All output schemas are objects (required by MCP)
- HTTP status codes are preserved
- Both success and error responses follow the same structure
- Clients can uniformly handle all responses
Example output schema for getPetById:
Error Handling
The library distinguishes between two types of errors:
Validation Errors (MCP Protocol Errors)
These occur before tool execution and are returned as MCP protocol errors:
- ToolNotFound: Requested tool doesn't exist (includes suggestions for similar tool names)
- InvalidParameters: Parameter validation failed (unknown names, missing required, constraint violations)
- RequestConstructionError: Failed to construct the HTTP request
Execution Errors (Tool Output Errors)
These occur during tool execution and are returned as structured content in the tool response:
- HttpError: HTTP error response from the API (4xx, 5xx status codes)
- NetworkError: Network/connection failures (timeout, DNS, connection refused)
- ResponseParsingError: Failed to parse the response
Error Response Format
For tools with output schemas, execution errors are wrapped in the standard response structure:
Validation errors are returned as MCP protocol errors:
Logging Configuration
The server uses structured logging with the tracing crate for comprehensive observability and debugging.
Log Levels
Set the log level using the RMCP_OPENAPI_LOG environment variable:
# Info level (default for normal operation)
RMCP_OPENAPI_LOG=info
# Debug level (detailed operation info)
RMCP_OPENAPI_LOG=debug
# Trace level (very detailed debugging)
RMCP_OPENAPI_LOG=trace
# Or use the --verbose flag for debug level
Log Level Details
error: Critical errors that need attentionwarn: Potential issues or warningsinfo: Important operational events (server startup, tool registration, HTTP request completion)debug: General debugging information (parameter extraction, tool lookup)trace: Very detailed debugging (detailed parameter parsing)
Note: Request and response bodies are never logged for security reasons.
Structured Logging Format
Logs include structured fields for easy parsing and filtering:
2025-08-19T10:30:45.123Z INFO rmcp_openapi_server::main: OpenAPI MCP Server starting bind_address="127.0.0.1:8080"
2025-08-19T10:30:45.125Z INFO rmcp_openapi::server: Loaded tools from OpenAPI spec tool_count=12
2025-08-19T10:30:45.130Z INFO http_request{tool_name="getPetById" method="GET" path="/pet/{petId}"}: rmcp_openapi::http_client: HTTP request completed status=200 elapsed_ms=45
Module-Specific Logging
You can control logging for specific modules:
# Only HTTP client debug logs
RMCP_OPENAPI_LOG=rmcp_openapi::http_client=debug
# Only server info logs, everything else warn
RMCP_OPENAPI_LOG=warn,rmcp_openapi::server=info
# Debug parameter extraction and tool generation
RMCP_OPENAPI_LOG=info,rmcp_openapi::tool_generator=debug
Examples
See the examples/ directory for usage examples:
petstore.sh: Demonstrates server usage with the Swagger Petstore API
Testing
# Run all tests
# Run with live API testing
RMCP_TEST_LIVE_API=true
# Run specific integration tests
License
MIT License - see LICENSE file for details.