"Information about enclave-gateway" matching MCP servers:

A single local MCP gateway for Neo4j that exposes both proxied generic Neo4j tools (schema, Cypher, GDS) and custom YAML-defined use-case tools behind one stdio endpoint.

MCP-Server from your Database optimized for LLMs and AI-Agents. Supports PostgreSQL, MySQL, ClickHouse, Snowflake, MSSQL, BigQuery, Oracle Database, SQLite, ElasticSearch, DuckDB

Exposes scattered business REST APIs and read-only databases to AI clients through a single MCP endpoint with unified API-key authentication, service- and operation-level authorization, department-scoped filtering, masking, and audit logging. AI agents discover only the tools and data they are permitted to use, without needing to know endpoint addresses, SQL, or credentials.

A production-grade platform that connects AI assistants to internal databases and filesystems through a single authenticated endpoint. It features role-based access control, SSO integration, and built-in tools for querying SQL databases and managing files with full audit logging.

A generic MCP gateway that exposes any HTTP-based SQL portal as LLM-friendly MCP tools and standard REST endpoints, serving both human users and AI agents simultaneously.

MCP server serving NFL/CFB analytics from Snowflake through curated read-only tools with RBAC and cost governance, avoiding raw SQL exposure.

Provides a stateless MCP gateway that lets AI agents execute Python in an isolated AST sandbox, run guarded read-only SQL queries, and automatically route tasks to cheaper or more capable models.

Enables LLMs to safely query databases through a secure gateway that masks PII, enforces role-based table access, rate limits requests, and logs all queries, with Prisma support.

Gives AI agents direct access to databases across 8 engines with 145+ tools, enabling schema-aware query execution and management through natural language.

Enables Claude Desktop and custom AI agents to securely access enterprise Postgres databases and Notion knowledge bases via MCP, with read-only SQL enforcement, audit logging, and API-key authentication.

Provides governed, read-only PostgreSQL access for AI agents via MCP. Enforces schema/table allowlists, query limits, and audit events.

Enables natural-language querying of simulated HR data through a safety-gated MCP tool layer, routing questions to SQL or policy document retrieval with PII masking, role-based access, and an offline evaluation harness.

Enables secure enterprise integration by bridging SQL, financial, SCADA, and document backends to LLM agents with RBAC, DLP redaction, human-in-the-loop approvals, and OpenTelemetry tracing.

Enables AI agents to query a PostgreSQL database through a small set of controlled, read-only tools for schema inspection, row lookup, and aggregate statistics.

Enables organisations to connect a database so people can query it through an MCP client, authenticating through the organisation's own identity provider. Every question is parsed and checked against role-based table, column and row limits before running, with all decisions recorded in an audit trail.

Enables AI agent sessions to reach a database through MCP with per-session, human-approved access grants, exclusive leased pool credentials, and revocable, auditable operations. It can be deployed locally or remotely with passkey-verified session administration.

Enables AI agents and IDE copilots to reach Jira, Neo4j, Teradata, and a business rule engine through one governed, multi-tenant endpoint that applies authentication, role-based tool authorization, guardrail checks, layered rate limiting, audit logging, and envelope encryption. It also exposes a live Neo4j graph schema resource and a Cypher-composition guidance prompt so clients can discover and query connected data safely.

Provides an OAuth-protected, scoped, and audited MCP server that lets AI assistants safely query business data through a fixed set of tools without direct database access.

Enables AI assistants to query BigQuery read-only via MCP with enforced dataset boundaries, result limits, and audit labels.

Middleware that converts existing APIs/DBs into MCP tools with secure credential injection, data scoping, and immutable audit logs.

Retrieves comprehensive patient information including personal details, insurance plans, and employee data through the get_patient tool. Supports Docker Compose deployment and integration with Watson Orchestrate for healthcare data access.

Enables local Claude Code to interact with Snowflake, Asana, M365, GitHub, and Hive Mind with automatic response truncation to prevent memory overload.

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 local MCP server for BigQuery that integrates Okta authentication and workload identity federation, enabling natural language queries and dataset exploration.

A reference implementation for connecting SAP Business One to MCP-compatible AI clients, enabling read-only SQL analysis and guarded write workflows.

A ready-to-run MCP gateway and multi-agent scheduling system with 14 built-in tools and 3-layer performance optimization, reducing latency by 65%.

This read-only MCP Server allows you to connect to SAP Netweaver Gateway data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

Enables AI agents to query PostgreSQL databases securely with read-only defaults, PII masking, rate limiting, and human-approved, expiring mutation tokens.

Provides read-only access to databases for MCP-compatible AI tools, allowing schema exploration and SELECT queries without exposing credentials or risking data changes.

DataNexa is a local, read-only database MCP gateway for AI agents. It routes SQLite, MySQL, PostgreSQL, and any JDBC-compatible database through a single localhost endpoint, enforces read-only access via SQL AST validation with row, time, and connection limits, and keeps a local audit trail of every query.