Skip to main content
Glama
suveshmoza

Qora

by suveshmoza
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

Related Servers

Alternatives to Qora

No user-submitted related servers found.

    Related Servers

    • warehouse-mcp

      usamaattia
      A
      license
      Not graded
      quality
      C
      maintenance
      Lets an AI assistant explore and query Postgres, DuckDB, or Snowflake with read-only SQL, table and schema discovery, sampling, and explainable guardrails.
      MIT

    • MCP Guide Schema Query

      BaoNgoThien18
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI tools to understand a database, inspect schema, and run safe SELECT queries with SQL guardrails, plus optional codebase reading.
      MIT

    • MCPBridge

      manulthanura
      A
      license
      Not graded
      quality
      C
      maintenance
      Connects AI assistants to PostgreSQL databases with production-grade safety features including query validation, guarded writes, rate limiting, and audit logging.
      3
      MIT

    • db-connector

      adlkt
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to query business databases directly via natural language, with enforced read-only access and secure query limits. Supports SQLite and PostgreSQL, and works with any OpenAI-compatible model.
      0
      ISC
    • GraphJin by dosco

      GraphJinofficial

      dosco
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to query databases using natural language, with automatic schema discovery and SQL compilation.
      1,493 npm
      3,213
      Apache 2.0
    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

    A4.5/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: discovering schemas, listing tables, describing table schemas, and executing queries. No overlap or ambiguity.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern (list_schemas, list_tables, describe_table, run_query), making the naming predictable and clean.

    Tool Count5/5

    With 4 tools, the set is well-scoped for a read-only database exploration and querying server. Each tool is necessary and sufficient for the core workflow.

    Completeness5/5

    The surface covers the full discovery-to-query lifecycle: schema discovery, table listing, schema introspection, and read-only query execution. No essential operations are missing for the stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources