Skip to main content
Glama
Sign In
ArcadeDB Multi-Model DBMS

ArcadeDB Multi-Model DBMS

Official
by ArcadeData
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Hybrid

Related Servers

Alternatives to ArcadeDB Multi-Model DBMS

No user-submitted related servers found.

    Related Servers

    • cortexdb

      liliang-cn
      A
      license
      Not graded
      quality
      B
      maintenance
      Shared memory and a knowledge graph for AI agents: hybrid vector and keyword search, RAG over your docs, scoped agent memory, and RDF/SPARQL and Cypher graph queries. Works without an embedding model; one server can serve many agents.
      477
      MIT

    • smriti

      Smriti-AA
      A
      license
      Not graded
      quality
      Not graded
      maintenance
      A lightning-fast, self-hosted knowledge store and memory layer for AI agents
      -

    • turing_AgentMemory_MCP

      Chetto983
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables persistent agent memory and document ingestion with hybrid vector and lexical retrieval, memory lifecycle management, graph-backed entities, preferences, facts, and cited search through ArcadeDB. It also supports provider-agnostic embeddings and reranking, durable file processing, and optional governance/redaction hooks.
      MIT

    • mcp-db-connect

      phatngoit
      A
      license
      Not graded
      quality
      C
      maintenance
      Universal MCP server for readonly-first access to Oracle, SQL Server, PostgreSQL, MySQL/MariaDB, SQLite, MongoDB, and Qdrant vector search.
      78 npm
      1
      MIT

    • Munin AI Memory

      kalera-labs
      F
      license
      Not graded
      quality
      C
      maintenance
      Munin is a high-performance, pragmatic memory layer for AI agents (Cursor, Claude Code, OpenClaw, Gemini CLI,...). Unlike other solutions, Munin focuses on developer productivity with: * Multi-Project Support: Isolate memories into separate "brains" (Context Cores). * GraphRAG: Automatically builds a knowledge graph from your context. * Sub-200ms Search: Blazing fast Hybrid & Semantic
      3
      -
    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

    A3.9/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool targets a clearly distinct concern: server admin (status, settings), profiler lifecycle (start/stop/status), and database operations (list, schema, query, execute). No two tools overlap in purpose, making misselection unlikely.

    Naming Consistency4/5

    Tools follow a consistent verb_noun pattern: profiler_start/stop/status, get_server_settings, set_server_setting, list_databases, get_schema, execute_command, query, server_status. The only slight deviation is 'execute_command' and 'query' which use more generic verbs rather than a resource-specific noun, and 'server_status' uses a different word order than get_/set_ prefixes.

    Tool Count5/5

    Ten tools is well-scoped for a DBMS server MCP. Each tool maps to a meaningful operation a client would need: server introspection, config management, profiling, and database CRUD/querying. Nothing feels redundant or missing at the top level.

    Completeness4/5

    The surface covers server status, configuration management, profiling, database enumeration, schema retrieval, and both read and write operations. Minor gaps include no database creation/deletion and no explicit way to retrieve saved profiler results from disk, but the core admin+query workflow is complete.

    Maintenance

    ActivityActive
    ResponsivenessSyncing

    Resources