Skip to main content
Glama
wXingHe

openmemory-rag-mcp

by wXingHe
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Local

Related Servers

Alternatives to openmemory-rag-mcp

No user-submitted related servers found.

    Related Servers

    • qdrant-mcp

      msstnk
      A
      license
      Not graded
      quality
      D
      maintenance
      MCP server for document ingestion and semantic search on Qdrant. Enables ingesting local documents, generating embeddings with OpenAI, and performing vector search with metadata filters.
      Apache 2.0

    • MCP RAG

      santis84
      A
      license
      B
      quality
      D
      maintenance
      A complete MCP server for Retrieval-Augmented Generation with file management and vector memory for agents. Supports multiple document formats (PDF, DOCX, TXT, MD, CSV, JSON) with semantic search using Hugging Face embeddings and ChromaDB for efficient vector storage.
      11
      9 npm
      1
      MIT

    • RunningKnowledgeBase

      1556053950
      F
      license
      Not graded
      quality
      B
      maintenance
      A fully local MCP server that imports Markdown, PDF, and web pages into a running knowledge base, providing hybrid search and document retrieval via authenticated Streamable HTTP for Codex and DeepSeek agents.
      -

    • MCP PDF to PGVector

      sanskritiparmendranaval
      F
      license
      Not graded
      quality
      C
      maintenance
      MCP server that ingests PDF documents into pgvector for semantic search and RAG pipelines. It handles extraction, chunking, local embeddings, and storage, enabling agents to make PDFs searchable via natural language.
      -

    • MCPedia

      asepharyana
      A
      license
      Not graded
      quality
      B
      maintenance
      MCP server for a content-first knowledge base, enabling AI agents to search (full-text, semantic, hybrid) and retrieve Markdown documents, list content, and find related docs.
      7 npm
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 4 tools

    Disambiguation5/5

    The three import tools are clearly distinguished by source type (file, URL, raw text), and search_knowledge is obviously the retrieval counterpart. There is no meaningful overlap or ambiguity among these tools.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern: import_file, import_url, import_text, search_knowledge. The naming convention is uniform and predictable.

    Tool Count5/5

    Four tools is well-scoped for an RAG knowledge base focused on ingestion and retrieval. Each tool covers a distinct and necessary operation without redundancy or bloat.

    Completeness4/5

    The core workflow of adding knowledge via three input types and searching it is covered. Minor gaps exist, such as no list, delete, or clear knowledge base operations, but they are not essential to the primary import-and-search purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources