A
licenseNot graded
qualityC
maintenanceProvides AI assistants with semantic search and read access to local files and directories, enabling knowledge retrieval from indexed content.
21
17
MIT
RAG MCP Tool
by musnows
Related Servers
Alternatives to RAG MCP Tool
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceProvides LLMs with secure, read-only access to local documentation by scanning directories, extracting content from PDF, DOCX, Markdown, and text files, and performing keyword searches.35MIT
- AlicenseNot gradedqualityDmaintenanceProvides local semantic search over files using embeddings, enabling directory indexing and natural language queries without external services.MIT
- FlicenseNot gradedqualityDmaintenanceEnables retrieval-augmented generation by allowing LLMs to search documents in a local folder using vector similarity, supporting multiple file formats.-
- AlicenseAqualityDmaintenanceEnables searching and retrieving documents from a local folder to ground LLM answers in your files.2MIT
- AlicenseNot gradedqualityDmaintenanceEnables real-time indexing and semantic search of local documents (PDF, Word, text, Markdown, RTF) using vector embeddings and local LLMs. Monitors folders for changes and provides natural language search capabilities through Claude Desktop integration.21MIT
TDQS
B3.1/5.0
Scored across 2 tools
Disambiguation5/5
The two tools have completely distinct purposes: one reads raw file content, while the other searches a RAG database. There is no overlap in functionality or ambiguity about when to use each tool.
Naming Consistency4/5
Both tools use snake_case naming, which is consistent. However, the verb patterns differ slightly: 'read' vs. 'search', which is acceptable but not perfectly uniform. The naming is clear and follows a logical convention.
Tool Count2/5
With only two tools, the server feels severely under-scoped for a RAG (Retrieval-Augmented Generation) system. A typical RAG server would include tools for indexing, updating, deleting, or managing the database, not just reading files and searching. This minimal set limits functionality significantly.
Completeness2/5
The tool surface is highly incomplete for a RAG domain. There are no tools for indexing documents, updating the database, deleting entries, or managing the RAG system's lifecycle. This forces agents into dead ends for basic operations like adding new data or maintaining the database.
Maintenance
ActivityInactive
ResponsivenessNo issues