Api Key And Oauth Authentication With Multi Tenant Access Control

via “flexible authentication with oauth 2.0, api tokens, and pat support”

Search, read, and create Confluence wiki pages via MCP.

Unique: Implements credential chain pattern with per-request HTTP header support for multi-tenant deployments, enabling shared MCP server instances to serve multiple users with different Confluence/Jira credentials without credential leakage.

vs others: Provides multi-tenant authentication support with per-request credential override, whereas single-credential MCP servers require separate instances per user or shared credentials.

via “dual-mode authentication with oauth 2.0 and api token support”

Manage Cloudflare Workers, KV, R2, and DNS via MCP.

Unique: Shared @repo/mcp-common authentication package provides unified credential handling across heterogeneous MCP servers (Workers Observability, AI Gateway, DEX Analysis, etc.), enabling consistent user state management and token validation without duplicating auth logic in each server

vs others: More flexible than single-mode authentication because it supports both interactive OAuth and programmatic tokens, and more secure than embedding tokens in client code because it validates credentials server-side with Cloudflare's identity system

via “bearer token authentication with api key-based access control”

High-performance embedding models by Jina.

Unique: Stateless Bearer token authentication eliminates session management overhead; API keys function as long-lived credentials enabling simple integration with standard HTTP clients

vs others: Simpler than OAuth 2.0 flows for API-to-API authentication; more secure than API keys in query parameters by using HTTP headers

via “multi-tenant-api-key-and-access-control-management”

Unified API for 100+ LLM providers — OpenAI format, load balancing, spend tracking, proxy server.

Unique: Implements a hierarchical permission model: Organization → Team → User → API Key, with cascading permissions and overrides. Uses Prisma ORM (schema.prisma) for database abstraction, supporting PostgreSQL and SQLite. Integrates with SCIM 2.0 for automated user provisioning and SSO (SAML, OAuth) for authentication. Per-key model access groups (model_access_groups) enable fine-grained control without creating separate keys.

vs others: More granular than OpenAI's organization-level keys (supports team/user level); SCIM/SSO integration is unique vs simple API key systems; audit logging is built-in vs requiring external tools

via “multi-tenant-authentication-and-authorization”

Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]

Unique: Implements hierarchical access control with model access groups supporting wildcard patterns (e.g., 'gpt-4*' to allow all GPT-4 variants), combined with per-key budget caps and rate limits enforced at the proxy layer before requests reach LLM providers

vs others: More granular than cloud provider IAM; supports model-level access control and per-key budgets without requiring separate cloud infrastructure, enabling fine-grained cost control and access policies

via “multi-tenant authentication with sso and rbac”

Open-source LLM observability — tracing, prompt management, evaluation, cost tracking, self-hosted.

Unique: Multi-tenancy is enforced at the database layer using PostgreSQL RLS policies, ensuring that queries automatically filter results by project/tenant without application-level logic. API keys are scoped to projects and support optional rate limiting via middleware, with rate limit state stored in Redis for distributed enforcement.

vs others: More secure than application-level multi-tenancy because RLS prevents accidental data leakage from query bugs, and API key scoping is enforced at the database layer rather than in application code, reducing the attack surface.

via “multi-tenancy and role-based access control”

Stateful AI agents with long-term memory — virtual context management, self-editing memory.

Unique: Implements multi-tenancy at the core architecture level with row-level security and RBAC, not as an afterthought. Most frameworks are single-tenant by design.

vs others: Provides native multi-tenancy with role-based access control and data isolation, whereas most frameworks are single-tenant and require significant refactoring for multi-tenant deployment

via “multi-tenant project isolation with rbac”

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Unique: Implements multi-tenancy at the database schema level with RBAC and audit logging built-in, avoiding the need for external identity management or log aggregation for compliance

vs others: More secure than single-tenant deployments because data isolation is enforced at the database level, while being simpler than building custom multi-tenancy infrastructure

via “multi-method-authentication-and-authorization”

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.

Unique: Implements multi-method authentication (password, OAuth, API keys) with JWT-based session management and role-based authorization through Django ORM integration. Supports both web clients (cookie-based) and API clients (token-based) with per-user resource isolation.

vs others: Provides integrated multi-method auth with OAuth support and per-user isolation, whereas many open-source AI tools lack proper authentication or require external auth services like Auth0.

via “three-tier role-based access control with session and api key authentication”

Self-hosted AI agent orchestration platform: dispatch tasks, run multi-agent workflows, monitor spend, and govern operations from one mission control dashboard.

Unique: Combines session-based auth with API key support and optional Google OAuth approval workflow; uses scrypt for password hashing and stores all credentials in SQLite without external identity providers, enabling self-hosted deployments

vs others: Simpler than enterprise IAM systems (Okta, Auth0) for small teams while supporting both interactive and programmatic access; approval workflow for OAuth adds human oversight without requiring external policy engines

via “multi-tenant rbac with api key and sso authentication”

🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

Unique: Project-scoped RBAC with SSO support and automatic API key management, using tRPC middleware for permission enforcement across all endpoints without requiring custom authorization code per route

vs others: Supports both API key and SSO authentication (vs single-method competitors), with self-hosted RBAC avoiding third-party identity provider dependency and enabling offline operation

via “multi-tenant oauth2 credential management with automatic token refresh”

ACI.dev is the open source tool-calling platform that hooks up 600+ tools into any agentic IDE or custom AI agent through direct function calling or a unified MCP server. The birthplace of VibeOps.

Unique: Implements automatic token refresh via OAuth2Manager that proactively refreshes tokens before expiration based on service-specific refresh windows, preventing runtime auth failures. Uses LinkedAccount model to support multiple accounts per user per service, enabling agents to switch between different user contexts (e.g., multiple Gmail accounts) without re-authentication.

vs others: More reliable than agent-side token management because refresh happens server-side with guaranteed uptime, and more flexible than static API key storage because it supports OAuth2 services that require periodic token rotation.

via “centralized authentication and authorization with rbac and multi-tenancy”

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

Unique: Implements RBAC at the gateway layer using a declarative permission matrix that maps (user/team, tool, server) tuples to allow/deny decisions, evaluated before requests reach downstream services. Integrates multi-tenancy through SessionRegistry that isolates session state per tenant, preventing cross-tenant tool access.

vs others: Provides centralized RBAC enforcement across all federated servers without requiring each server to implement its own auth logic, reducing security surface area and enabling consistent policy enforcement. Multi-tenant isolation is built into the session layer rather than bolted on as an afterthought.

via “authentication and authorization with role-based access control”

AI Observability & Evaluation

Unique: Implements RBAC at both API and database layers, ensuring authorization is enforced consistently across GraphQL, REST, and direct database access. Supports both API key and OAuth2/OIDC authentication mechanisms.

vs others: Role-based access control enables multi-tenant deployments where different teams can access the same Phoenix instance with appropriate data isolation, unlike single-user deployments.

via “authentication and authorization for mcp server access”

The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

Unique: Authentication is configured per-server connection rather than globally, allowing different servers to use different auth mechanisms; supports multiple auth strategies (API keys, OAuth2, mTLS) without code changes.

vs others: More flexible than single-auth-method frameworks because multiple auth strategies are supported; more secure than unencrypted connections because mTLS and OAuth2 provide strong authentication.

via “oauth2/oidc-based centralized authentication with multi-provider identity federation”

Enterprise-ready MCP Gateway & Registry that centralizes AI development tools with secure OAuth authentication, dynamic tool discovery, and unified access for both autonomous AI agents and AI coding assistants. Transform scattered MCP server chaos into governed, auditable tool access with Keycloak/E

Unique: Uses NGINX auth_request pattern to enforce authentication at the gateway layer before any request reaches downstream services, enabling zero-trust architecture without modifying individual MCP servers or agents. Supports simultaneous multi-provider federation (Keycloak + Entra ID + Okta) with unified scope mapping.

vs others: Decouples auth from business logic more cleanly than per-service OAuth integration, reducing implementation burden on tool developers and enabling consistent policy enforcement across heterogeneous MCP server implementations.

via “flexible multi-method authentication with oauth 2.0, api tokens, and pat support”

MCP server for Atlassian tools (Confluence, Jira)

Unique: Implements a configuration cascade (env vars → HTTP headers → defaults) with per-request authentication override for multi-tenant deployments, combined with OAuth 2.0 3LO callback handling, enabling both single-tenant and multi-tenant authentication patterns from the same codebase without code branching

vs others: Supports four authentication methods with multi-tenant header-based override, whereas most Jira/Confluence clients support only API tokens; OAuth 2.0 3LO support enables user-delegated access patterns required by SaaS platforms

via “oauth 2.1 authorization framework with token management and validation”

Specification and documentation for the Model Context Protocol

Unique: Integrates OAuth 2.1 as a first-class authorization mechanism with support for multiple client registration methods (static, dynamic, PKCE) and explicit token validation semantics. Servers can enforce scope-based access control and clients can manage token lifecycle transparently.

vs others: More secure than API key-based authentication (supports token expiration and refresh) and more flexible than mTLS (supports dynamic client registration and scope-based access control)

via “api key and oauth authentication with multi-tenant access control”

MCP Aggregator, Orchestrator, Middleware, Gateway in one docker

Unique: Combines API key and OAuth authentication in a single system with per-endpoint and per-tool access scoping, persisted in PostgreSQL with audit logging. Supports both static API keys (for service-to-service) and dynamic OAuth tokens (for user-based access), enabling flexible multi-tenant deployments.

vs others: More flexible than API-key-only systems because it supports OAuth for user-based access, more granular than endpoint-level auth because it enforces tool-level access control, and more auditable than in-memory auth because all decisions are logged to persistent storage.

via “api-key-and-oauth2-authentication-gateway”

A simple, secure MCP-to-OpenAPI proxy server

Unique: Implements authentication as FastAPI middleware with pluggable validators, supporting both stateless API key validation and stateful OAuth 2.0 token introspection without requiring external API gateway infrastructure.

vs others: More integrated than reverse-proxy authentication because it has native access to request context and MCP server metadata; more flexible than hardcoded API key lists because it supports OAuth 2.0 federation.