Model Context Protocol (MCP) Server Directory

Build an enterprise Docker sandbox MCP server providing sub-200ms ephemeral container execution, memory limits, and isolated runtime environments for AI.

Build a high-performance ChromaDB vector MCP server enabling sub-12ms local embedding retrieval, payload metadata filtering, and persistent swarm memory.

Build a ClickHouse analytics MCP server using FastMCP to achieve sub-5ms vector log clustering and real-time telemetry querying across agent swarms.

Build a Qdrant vector database MCP server using FastMCP and gRPC to deliver sub-10ms semantic similarity search with strict multi-tenant payload filtering.

Build an Elasticsearch hybrid search MCP server with FastMCP and RRF to deliver sub-15ms BM25 and dense vector retrieval for high-concurrency swarms.

Build a Neo4j Cypher MCP server with FastMCP and Bolt connection pooling to achieve sub-8ms entity graph extraction and zero hallucinations for swarms.

Build a Cohere Rerank MCP server with FastMCP to achieve sub-25ms cross-encoder reranking and boost agent retrieval precision by 34% in enterprise swarms.

Build an Unstructured document parsing MCP server with FastMCP to ingest PDF, DOCX, and tables at sub-50ms latency and eliminate agent chunking errors.

Build a hardened MCP Inspector debugging server to trace real-time JSON-RPC tool calls, catch schema validation faults, and cut agent debugging time by 72%.

Build a high-performance Dragonfly cache MCP server delivering sub-millisecond key-value retrieval and 25x higher throughput than Redis for agent swarms.

Build an Apache Doris analytical MCP server with FastMCP to execute sub-5ms columnar and vector queries for autonomous agent swarms in enterprise clusters.

Build an OpenFaaS serverless MCP server with FastMCP to execute ephemeral Python and Node functions with sub-8ms cold starts for autonomous agent swarms.