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MCP-Bridge
SecurityAuto-generatedScore: 34

Authentiq API MCP Server

The Authentiq API provides a robust foundation for implementing strong, passwordless authentication and identity verification systems.

Quick Start Summary

The Authentiq API MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the Authentiq API API through natural language. It exposes 10 API endpoints as callable tools, such as key_register, key_revoke_nosecret, key_retrieve, and more. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/6-dot-authentiqio-appspot-com. This integration is sourced from the auto Authentiq API OpenAPI specification (v6) and has a quality score of 34/99 (fair documentation coverage).

10Endpointstools mapped
NoneAuthopen access
34/99Qualityfair
~30 secSetupno auth
View Hosted Config URLClaude Desktop Setup Guide

Server Details

Category
Security
Authentication
None
Endpoints
10 operations
Transport
STDIO
Spec Version
v6
Install Command
npx -y @mcp/6-dot-authentiqio-appspot-com

Environment Variables

AUTHENTIQ_API_API_KEY

Example: your_authentiq_api_api_key

Top Endpoints

POST
/key

key_register

DELETE
/key

key_revoke_nosecret

GET
/key/{PK}

key_retrieve

POST
/key/{PK}

key_update

PUT
/key/{PK}

key_bind

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📖 Detailed MCP Integration Guide

A technical breakdown of capabilities, agent workflows, and security/configuration best practices.

⚡Capabilities & Use Cases
The Authentiq API provides a robust foundation for implementing strong, passwordless authentication and identity verification systems. Developed by Authentiq, a specialist in modern digital identity solutions, this API enables the secure management of cryptographic keys and the orchestration of login and scope-based authorization flows. Its core capabilities are centered around the lifecycle management of public-private key pairs, which serve as the user's credentials. The endpoints allow for the creation of a new key pair (POST /key), retrieval of a public key by its ID (GET /key/{PK}), and associated management operations (POST, PUT, DELETE on the key resource). Beyond basic key management, the API facilitates the authentication process itself through the POST /login endpoint, which verifies a signature from the user's private key. The /scope endpoints introduce a layer of fine-grained, permission-based access control, allowing developers to define, query, and manage specific authorization scopes tied to a job or session. This makes the API ideal for enterprise applications requiring secure internal tool access, consumer-facing mobile or web apps seeking seamless login experiences without credential fatigue, and IoT ecosystems where device authentication is paramount.
🤖AI Agent Value
When exposed as tools via the Model Context Protocol (MCP) to an AI coding assistant, the Authentiq API transforms from a static set of endpoints into a dynamic, interactive capability. An AI agent, such as one running in Cursor or Cline, could be instructed to programmatically manage authentication infrastructure. For example, it could generate a new API key for a specific service (POST /key), rotate existing keys for security compliance (DELETE followed by POST for a given {PK}), or audit the status of currently active keys by retrieving their details (GET /key/{PK}). More profoundly, it could orchestrate complex authorization workflows by querying and validating user scopes (GET /scope/{job}) or dynamically creating new, time-bound authorization scopes for automated tasks (POST /scope/{job}). This integration empowers developers to delegate repetitive security and configuration tasks to the AI, accelerating setup, ensuring consistency in security policy application, and allowing for rapid prototyping of authentication systems within larger applications.
💬Example Workflows
In practical terms, a developer using an MCP-connected AI could issue natural language commands to perform sophisticated operational tasks. For instance, they could instruct, "Onboard a new partner service by generating a dedicated authentication key with the scope 'analytics:read' and 'logs:write'," prompting the AI to first create the key (POST /key) and then define the associated scope (POST /scope/{job}). Alternatively, a command like "Audit all active login sessions for the 'admin' scope" would have the AI agent use GET /scope/{job} to fetch and summarize the relevant records. The AI could also automate security workflows, such as "Revoke and replace the key used by the legacy reporting module" by executing a sequence of DELETE and POST operations. These dynamic interactions turn the AI into a force multiplier for DevOps and security engineering, handling routine yet critical identity management tasks with precision and speed that manual scripting cannot match.
🛡️Security & Auth
It is critical to note that while the API itself employs no built-in authentication method for its endpoints, this represents a significant security consideration, not a simplification. All interactions with the Authentiq API should occur over strictly encrypted channels (HTTPS). Developers must implement their own robust authentication and authorization layer in front of this API to control access to its powerful key and scope management functions. The principle of least privilege must be rigorously applied; any service or AI agent interacting with the API should be granted only the absolute minimum permissions necessary to perform its specific function. API keys or other secrets used to interact with Authentiq endpoints must be stored securely in environment variables or a secrets vault, never committed to source code. When configuring the MCP server, developers should ensure the AI assistant operates within a sandboxed context with tightly controlled outbound network rules, allowing it to communicate only with the designated Authentiq API endpoint.

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