"Connecting with Zendesk's Help Center" matching MCP servers:

Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

An open standard server implementation that enables AI assistants to directly access APIs and services through Model Context Protocol, built using Cloudflare Workers for scalability.

Enables AI assistants to help developers build on the monday.com GraphQL API by validating queries, explaining errors, providing column value formats, introspecting the live schema, executing queries, and scaffolding boilerplate code.

MCP server for scanning smart contracts for security vulnerabilities. It detects issues like reentrancy, overflow, access control, and provides security scores with NEAR-specific recommendations.

Provides tools to communicate with a service dependency API, enabling users to query and interact with service relationship data and dependency mappings.

An MCP server for checking OWASP Top 10 vulnerabilities during API development testing. It analyzes API information and returns security assessment results to help developers identify potential security issues.

Enables interaction with Google Ads through the Google Ads API using GCloud authentication. Supports GAQL query execution, performance data retrieval, account management, and resource discovery with pagination and multiple output formats.

Enables Claude to retrieve BIN (Bank Identification Number) data for payment cards, with options for basic or enhanced insights through the Pagos API.

An MCP server that allows users to query and retrieve request and response JSON schemas directly from Swagger/OpenAPI specifications. It supports automatic reference resolution and path parameter matching to help AI models interact with API interfaces.

Enables programmatic interaction with the Canvas LMS API through the Model Context Protocol. It currently supports listing courses with enrollment type filtering and provides interactive help prompts for tool usage.

MCP server for Akamai APIs. 198 tools covering Property Manager, Edge DNS, CPS, WAF, and reporting. Built with TypeScript, featuring modular architecture, comprehensive testing, and multi-account support. Make Akamai accessible to AI assistants.

This is an MCP server that facilitates building tools for interacting with various APIs and workflows, supporting Python-based development with potential for customizable prompts and user configurations.

Provides access to Ics Ap Apis API endpoints with authentication support, enabling API interactions through the MCP protocol.

A Model Context Protocol server that enables LLMs to explore and interact with API specifications by providing tools for loading, browsing, and getting detailed information about API endpoints.

Provides an MCP server that automatically exposes API routes as MCP tools with input validation and authentication, enabling AI agents to call the same handlers as HTTP RPC.

Enables AI assistants to interact with the Nimble REST API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.

Enables AI assistants to interact with the Roark REST API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.

A generic MCP server that dynamically converts OpenAPI-defined REST APIs into tools for LLMs like Claude. It supports multiple authentication methods and transport protocols, enabling seamless interaction with any OpenAPI-compliant API.

Wraps the JSONPlaceholder fake REST API to enable testing and prototyping with CRUD operations on posts, comments, and other resources via MCP.