A
licenseNot graded
qualityB
maintenanceProvides local technical documentation with hybrid search (semantic + BM25) for AI agents, ensuring access to up-to-date framework docs.
MIT
MCP Elasticsearch Demo
by dev-com2020
Related Servers
Alternatives to MCP Elasticsearch Demo
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceSelf-hosted knowledge backend for AI agents. Provides 11 MCP tools for hybrid vector + keyword search, container-isolated knowledge bases, and 4 storage connectors (S3, Azure Blob, MinIO, filesystem). Built with .NET, runs via Docker.1117MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI coding agents to search, index, and manage documentation libraries with hybrid retrieval and live web fallback, all self-hosted and offline.1MIT
- FlicenseNot gradedqualityDmaintenanceA high-precision local knowledge base server enabling AI agents to navigate, search, and reason about complex codebases using hybrid semantic, lexical, and graph retrieval.3-
- FlicenseNot gradedqualityCmaintenanceEnables document Q&A and knowledge retrieval through hybrid semantic and keyword search, with tools for document ingestion, chunking, summarization, PII redaction, and RAGAS-based evaluation.-
- AlicenseAqualityCmaintenanceEnables local-first hybrid knowledge retrieval from authorized Markdown and plain-text files, combining full-text and vector search with reranking and traceable source references via a single search tool.1MIT
TDQS
A3.7/5.0
Scored across 5 tools
Disambiguation4/5
Each tool has a distinct retrieval purpose: search_documents queries by text, find_similar queries by example id, list_facets enumerates filter values, get_document fetches a full doc by id, and get_video_segment pulls a time-bounded transcript. The main mild overlap is search_documents vs find_similar (both return ranked recommendations), but the input mode (query vs id) and descriptions differentiate them adequately.
Naming Consistency5/5
All five names follow a consistent snake_case verb_noun pattern (get_video_segment, search_documents, get_document, list_facets, find_similar). Verb choice is predictable and readable across the set.
Tool Count5/5
Five tools is well-scoped for a hybrid search/retrieval server, covering search, drill-down, filtering discovery, similarity, and a media-specific accessor. Every tool earns its place with no redundant filler.
Completeness4/5
The retrieval lifecycle is well covered: search, fetch full content, discover facets, find similar, and extract a video segment. It lacks any indexing/write operations (create/update/delete or list-all), which may be intentional for a read-only demo but leaves the surface one-sided.
Maintenance
ActivityMaintained
ResponsivenessNo issues