Skip to main content
Glama
databar-ai

Databar MCP Server

Official
by databar-ai
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

Related Servers

Alternatives to Databar MCP Server

No user-submitted related servers found.

    Related Servers

    • Enrow MCP Server by EnrowAPI

      Enrow MCP Serverofficial

      EnrowAPI
      A
      license
      A
      quality
      C
      maintenance
      Enables AI assistants to find and verify professional emails and phone numbers via the Enrow API.
      13
      1
      MIT
    • Prospeo MCP Server by prospeo-v2

      Prospeo MCP Serverofficial

      prospeo-v2
      A
      license
      A
      quality
      F
      maintenance
      Enables AI tools to search and enrich B2B leads, including finding professional emails, company profiles, and filtering people and companies by various criteria.
      5
      697 npm
      MIT

    • DataMerge MCP

      poolside-ventures
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to enrich and retrieve company data by connecting to the DataMerge Company API. It supports operations such as starting enrichment jobs, fetching company records, and inspecting corporate hierarchies.
      11 npm
      1
      MIT

    • database-explorer-mcp

      nandanosql
      A
      license
      A
      quality
      D
      maintenance
      Enables AI assistants to connect to and interact with PostgreSQL, MySQL, SQLite, and MongoDB databases through natural language, supporting schema exploration, query execution, data export, and more.
      13
      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

    A3.7/5.0

    Scored across 37 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose, covering separate operations like CRUD for tables/columns/rows, discovery and execution of enrichments/exporters/waterfalls, and configuration management. Overlaps like run_enrichment vs run_bulk_enrichment are well-differentiated by scope.

    Naming Consistency5/5

    Tool names follow a consistent verb_noun pattern (e.g., create_table, search_enrichments, run_waterfall). Even less common names like patch_rows and upsert_rows fit the pattern. No mixing of conventions or vague verbs.

    Tool Count4/5

    With 37 tools, the server covers a broad domain (table management, enrichment workflows, export, waterfalls). While slightly above the typical well-scoped range, each tool addresses a specific need and the count is justified by the feature set.

    Completeness3/5

    Core CRUD for tables, columns, rows, folders is present, and enrichment/export/waterfall workflow is covered. However, missing removal operations for table-level configurations (no delete_table_enrichment or remove_table_exporter) leave a notable gap.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources