"Information about enclave-gateway" matching MCP servers:

Production-grade MCP Gateway in Go featuring dynamic OpenAPI tool registration, RBAC governance, in-flight PII/DLP redaction, and structured JSON audit logging.

Enables AI clients to connect through a single multiplexed SSE/HTTP endpoint to multiple local and remote MCP servers, with token authentication, per-tool approval policies, tool namespacing, and live telemetry.

A security gateway for MCP servers that enforces policy checks including role-based access, argument constraints, injection scanning, and PII redaction on both tool arguments and results, with tamper-evident audit logging.

Enforces delegated permissions and Cedar authorization before each tool call, keeps upstream credentials server-side, blocks external writes after private data exposure, and records durable audit history so agents can safely use approved repository tools.

Enables MCP clients and AI agents to discover and invoke only explicitly authorized, resource-bounded operational capabilities through a policy-enforced gateway with confirmation, audit, and isolated executor routing. It separates trusted transport identity from execution and supports declared tools over stdio MCP without exposing generic shell or privileged API surfaces.

Enables replacing an existing MCP tool server with a gateway that emits metadata-only OpenTelemetry traces for every tool call and forwards requests to the original server.

Unified local MCP AI Gateway that routes across Groq, OpenRouter, Mistral, and local Ollama providers, with OpenAI-compatible APIs, MCP tools, fallback/racing router, monitoring, and web dashboard.

MCP security gateway by J&K Advanced Technologies. One architecture, three engines — Quezar (100% local offline storage), Diamonize (in-process screening of AI tool calls), and Maxion V16 (governed throughput) — running on your own hardware, with no phone-home and no telemetry.

A unified local API gateway providing caching, rate limiting, and full Model Context Protocol compatibility for AI agent integration. It enables users to aggregate multiple API endpoints into a single gateway with built-in observability and customizable eviction strategies.

Enables an LLM agent to investigate a Kong Gateway through fourteen read-only, schema-validated tools and a deterministic diagnostic engine, so it can trace routes, services, plugins and upstream health and explain faults such as why authentication is failing on a path. Every fact comes from the gateway itself, and the model only selects tools and writes the evidence-backed explanation.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Tamper-evident audit trail for AI agent tool calls. Cryptographically signed, hash-chained records that prove what your agents did.

Enables AI agents to connect to tools and data through a governed MCP endpoint with agent identity, scoped permissions, guardrails, and full audit trails. Access is user-controlled and can be revoked instantly, with every tool call logged by agent identity and timestamp.

Enables AI agents to work with business-document data through MCP tool calls constrained by a registry, data tiers, human approval for writes, and a tamper-evident audit log. Ships with saved evals and a dashboard to prove and inspect those controls.

An enterprise MCP server scaffold that provides secure, governed access to internal tools through RBAC, audit logging, rate limiting, and prompt-injection boundaries, with a FastAPI control plane and OpenTelemetry observability.

Enforces identity-based access control and audit logging for MCP servers, letting you grant fine-grained tool permissions to users and systems while failing secure by default.

An MCP server that provides a governance layer for coding agents, enforcing policies, validation, and human-in-the-loop for tool calls without requiring an API key.

Enables MCP clients to query seeded logs, latency/error-rate metrics, and alerts for five fictional microservices over a remote StreamableHTTP endpoint, with bearer-token access control.

Enables governed agent access to Cortex XSIAM security operations APIs, including XQL log search, issues, cases, endpoints, and assets, with dataset authorization and optional identity-based access control.

A secure MCP proxy server with JWT authentication, SQL guardrails, rate limiting, and Kafka audit logging, enabling enterprise-grade access control for MCP clients like Cursor and Claude Desktop.

A comprehensive gateway and registry that unifies MCP, REST, and Agent-to-Agent services into a single secure endpoint for AI clients. It provides advanced capabilities including federation, virtual servers, rate-limiting, and OpenTelemetry observability.

Enables access to multiple upstream MCP servers through a single endpoint, with centralized tool discovery, health monitoring, metrics, concurrency limits, and a browsable catalog for public statistics services.

A feature-rich gateway and proxy that federates MCP, REST, and gRPC services into a unified endpoint for AI clients. It enables virtualization of legacy APIs as MCP-compliant tools while providing built-in security, rate-limiting, and OpenTelemetry observability.

An MCP server that exposes RAG search, ServiceNow, and observability tools to MCP clients, and proxies curated calls to remote ServiceNow and observability MCP servers.

A read-only, OAuth 2.1-authenticated MCP server that lets Claude inspect the live state of a self-hosted server — system resources, containers, service and website health, n8n automations, video jobs, backups, repositories, error summaries, a component design system, uptime monitoring, and its own audit trail. All twenty-one tools are strictly observation-only, with no shell, file browser, SQL console, or Docker socket, so nothing can be started, stopped, deployed, or deleted.

Enables administrators to enforce configured URL reputation checks and result scanning on selected MCP fetch tools, refusing disallowed, malformed, or unscannable traffic before it reaches the model. It also supports HMAC-signed ToolHive request validation webhooks for fail-closed policy enforcement.

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A Model Context Protocol server that provides AI agents with controlled read access to Datalust Seq instances for log analysis and monitoring. It enables agents to search events, execute data queries, and retrieve information about signals, dashboards, and alerts.

Provides Claude with access to Shodan for IP address lookups, service discovery, and vulnerability scanning, allowing users to query information about hosts, count results, and check API usage.

Provides read-only access to query and retrieve information about devices, fleets, events, and configurations managed by Flight Control through a safe integration layer supporting filtering and selector-based queries.