121,484 servers from the official registry, GitHub and npm. Filter by category, transport and language.
Exposes all 135 public hh.ru OpenAPI operations as grouped toolsets for LLM agents to search vacancies, manage resumes, and handle employer tasks.
Generates, runs, and tests Node.js/TypeScript MCP servers directly from OpenAPI specifications using a standalone CLI.
Provides a typed Python wrapper for Riot Games APIs and an optional MCP server to analyze League of Legends match data and player statistics.
Expose custom Python functions as tools through OpenAPI or Model Context Protocol interfaces for LLM function-calling.
Scaffolds production-ready Hayate API projects with Cloudflare Workers, SQLite, and MCP tool support.
Generates Python code for Meritz Securities Open API calls, including REST and real-time WebSocket implementations, without requiring an app key.
Lints OpenAPI specifications and detects breaking changes between API versions by normalizing different OpenAPI dialects.
Converts FastAPI services into governed MCP tools with owner approval workflows, PII redaction, and role-based access control.
Connect MCP servers or OpenAPI specs to Slack, LINE, or Discord to create a team chatbot with per-user authorization and human-in-the-loop confirmations.
Enables AI clients to develop, review, and manage Spring Boot applications through specialized skills, agents, and build coordination tools.
Converts OpenAPI schemas into production-grade MCP servers with automatic tool generation, credential isolation, and built-in resilience.
Audits remote MCP and A2A endpoints for JSON-RPC compliance, latency SLAs, schema integrity, and tool poisoning security.
$claude mcp add --transport http x402-audit https://x402-audit.agentdiet.dev/mcp
Converts any OpenAPI specification into an MCP server to make internal services accessible to AI assistants and agents.
Converts API documentation into working MCP servers and verifies tool functionality by calling them against the API.
Converts browser HAR recordings into OpenAPI 3.1 specifications, typed Python clients, and standalone MCP servers for AI agents.
Exposes command-line applications as structured MCP tools with automatic command discovery and argument validation.
Enables AI clients to discover and retrieve read-only Procore project data, including RFIs, submittals, and documents, through a safety-first Python SDK.
Retrieves relevant tools for LLM agents from large collections using embedding models to reduce prompt context costs.
Performs deterministic security reviews of OpenAPI and Swagger documents against 36 OWASP API Security Top 10 rules.
Converts OpenAPI specifications and API inventories into secure, self-hosted, and isolated MCP server runtimes.