openapi-servers

Converts OpenAPI tool server definitions into MCP (Model Control Protocol) compatible tool schemas and vice versa, enabling seamless interoperability between OpenAPI REST ecosystems and MCP-native LLM agent frameworks. The bridge layer implements protocol translation that maps OpenAPI endpoint specifications, parameter schemas, and response types to MCP tool definitions without requiring manual schema rewriting, allowing existing OpenAPI servers to be consumed by MCP clients and MCP tools to be exposed as REST APIs.

Generates production-ready FastAPI server implementations directly from OpenAPI specifications, automatically creating endpoint handlers, request/response validation, and OpenAPI documentation. Each server is implemented as an independent FastAPI application that exposes endpoints conforming to the OpenAPI specification with built-in request validation via Pydantic models, automatic OpenAPI schema generation, and HTTPS/authentication support without manual boilerplate coding.

Implements consistent error handling and response formatting across all OpenAPI tool servers, ensuring that all servers return errors in a standard format with meaningful error codes and messages. The error handling system defines a unified error schema, maps server-specific exceptions to standard error codes, and ensures all responses (success and error) follow the same JSON structure, enabling LLM agents to parse and handle errors consistently regardless of which tool server they interact with.

Provides built-in support for HTTPS encryption and standard HTTP authentication methods (API keys, OAuth2, basic auth) across all OpenAPI servers, enabling secure communication and access control without requiring external reverse proxies or security layers. The authentication system integrates with FastAPI's security schemes, validates credentials on every request, and enforces HTTPS for production deployments, protecting tool server communications and preventing unauthorized access.

Provides a dedicated OpenAPI server that exposes filesystem operations (read, write, list, delete) with configurable path-based access control and sandboxing to prevent directory traversal attacks. The filesystem server implements allowlist-based path restrictions, validates all file operations against configured boundaries, and provides atomic operations with error handling for permission violations, enabling LLM agents to safely interact with the local filesystem without unrestricted access.

Provides an OpenAPI server for storing, retrieving, and querying structured knowledge with graph-based relationships between entities. The memory server implements a knowledge graph backend that supports entity creation, relationship definition, and graph traversal queries, enabling LLM agents to maintain persistent context across conversations and build semantic relationships between stored information without requiring external database setup.

Exposes a standardized OpenAPI interface for weather data queries that abstracts underlying weather API providers (e.g., OpenWeatherMap, WeatherAPI) and caches responses to reduce API calls. The weather server implements provider abstraction with configurable backends, automatic response caching with TTL-based invalidation, and unified response schemas across different weather data sources, allowing LLM agents to query weather information without managing multiple API credentials or handling provider-specific response formats.

Provides an OpenAPI server that exposes Git operations (clone, commit, push, pull, branch management) through a standardized REST interface, enabling LLM agents to interact with version control systems without requiring Git CLI knowledge or local repository setup. The Git server implements repository state management, safe command execution with validation, and atomic operations for multi-step workflows like commit-and-push, abstracting Git's complexity behind simple REST endpoints.

Exposes an OpenAPI server for managing user profiles, preferences, and metadata with role-based access control and data validation. The user info server implements user CRUD operations, preference storage with schema validation, and role-based authorization checks on all operations, enabling LLM agents to access and manage user context safely while respecting permission boundaries and data privacy constraints.

Provides an OpenAPI server for time-based operations including timezone conversion, scheduling queries, and time-aware calculations, enabling LLM agents to work with time data correctly across different timezones and locales. The time server implements timezone-aware datetime handling, cron expression parsing for schedule definitions, and time arithmetic operations, abstracting timezone complexity and allowing agents to reason about time without managing timezone databases or calendar calculations manually.

Provides a Docker Compose configuration that orchestrates deployment of multiple OpenAPI tool servers as containerized services with networking, environment configuration, and service discovery. The deployment system uses Docker Compose to manage server lifecycle, configure inter-service communication, expose ports, and manage environment variables, enabling developers to deploy the entire tool server ecosystem with a single command without manual container management or networking setup.

Validates OpenAPI specifications against the OpenAPI 3.0+ standard and checks that server implementations conform to their declared specifications, ensuring consistency between API documentation and actual behavior. The validation system parses OpenAPI specs, validates schema correctness, checks endpoint implementations against declared parameters and responses, and reports conformance issues, enabling developers to catch specification-implementation mismatches before deployment.