"Information about enclave-gateway" matching MCP servers:

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

Aggregates multiple Model Context Protocol servers into a single gateway to provide unified search, description, and execution of tools. It reduces context limit issues by dynamically fetching specific tool schemas only when needed rather than loading all available tools at once.

HTTP MCP gateway for a learning corpus that enables remote agents to perform semantic search, graph queries, and routing via Pinecone and Neo4j without direct database credentials.

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.

HTTP MCP gateway for a learning corpus with Pinecone, Neo4j, and agentic router, enabling remote agents to query via tools like route_query, query_namespace, graph_query, etc.

Enables AI agents to discover and query enterprise knowledge documents and business metrics through standardized MCP tools, supporting retrieval, structured sales/order analysis, anomaly scanning, and data lineage lookups.

Provides unified access to 100+ MCP tools from the marketplace plus custom MCPs through a single gateway with search and execute capabilities.

Enables checking whether a website has a usable llms.txt file and scoring it from 0 to 100.

Gives any MCP-capable AI agent long-term memory from a self-hosted Obsidian vault, exposing tools to read, search, list and write markdown notes over MCP or a REST API with keyword plus semantic search. Agent writes are confined to a drafts inbox so they never overwrite your own notes.

A server that translates Model Context Protocol (MCP) tool callings to traditional HTTP API requests, allowing existing HTTP APIs to be integrated into MCP territory through configurable mappings.

Compiles and routes context from trust-domain sources (session, workdir, knowledge, shared) into unified, trust-tagged context envelopes for agents, without storing any data itself.

A universal MCP tool gateway that manages multiple remote tool processes, enabling LLMs to dynamically invoke web scraping, summarization, and knowledge retrieval through standardized Function Calling.

HTTP MCP gateway enabling remote agents to query a learning corpus combining Pinecone vector search and Neo4j graph database through tools like route_query, query_namespace, and graph_query.

An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.

A privacy-first memory layer for AI that securely bridges local knowledge with AI assistants through MCP tools, with intelligent redaction and local vector database.

Enables AI assistants to intelligently select and switch between different AI models (OpenAI, Anthropic, etc.) within the same conversation based on task requirements. Provides a unified interface for accessing multiple AI providers through a single MCP tool.

A proxy server that sits between MCP clients and servers, providing authentication, tool discovery, caching, and guardrail enforcement to protect MCP servers from malicious inputs.

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 AI agents to securely retrieve pre-compiled bounded context and memory state over a zero-network Unix Domain Socket, ensuring tenant isolation and sub-millisecond rehydration in Kubernetes environments.

Automatically converts OpenAPI/Swagger documents into MCP servers, enabling AI agents to call third-party REST APIs via the MCP protocol.

Intelligent multi-model orchestrator with dynamic routing that optimizes AI costs by prioritizing free models and escalating to paid tiers only when needed, with stateless architecture using Redis and PostgreSQL.

Enables authenticated access to an SSH server fleet and RAG knowledge base through MCP tools, with read-only checks running automatically and risky operations requiring human approval. Supports target registry IDs, policy enforcement, credential management, and hybrid knowledge search.

Enables MCP-capable AI agents to query OneAquaHealth FHIR R4 water, air and population-health data through a single standard interface, receiving a deterministic OK/CAUTION/DO_NOT_USE trust verdict, reasons and a citable FHIR reference for every value. It also exposes official OAH code definitions and supports citizen reports drafted into IG-conformant Observations, written back only after explicit human approval.

Enables semantic search and retrieval of eligible Pi skills through two read-only tools, while hiding the full skill catalog and enforcing invocation policy.

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

MCPJungle is a self-hosted MCP Registry and Gateway suitable for both local and enterprise deployments. It provides a single URL for your MCP clients to access servers and a central platform for you to track your MCPs and client-server interactions.

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.

A smart proxy that aggregates multiple downstream MCP servers and enables natural language search for tools, allowing clients like Claude Desktop to discover and use tools through semantic queries.

A smart MCP gateway that routes AI agents to the right tools using hybrid search (vector + full-text) on MongoDB Atlas, collapsing the retrieval infrastructure into a single query.

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.