Skip to main content
Glama
jnguyen-coder

govtenders-mcp

Related Servers

Alternatives to govtenders-mcp

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      B
      maintenance
      MCP server for Canadian procurement intelligence, enabling unified search of federal and Alberta tender opportunities, deadline tracking, profile-based matching, daily briefs, and AI-assisted bid analysis.
      -
    • F
      license
      Not graded
      quality
      B
      maintenance
      A paid MCP server that gives AI agents instant, structured access to every open US federal grant and contract opportunity.
      1
      -
    • F
      license
      Not graded
      quality
      C
      maintenance
      MCP server for querying U.S. Federal Procurement Data System (FPDS-NG) to search federal contract actions by keyword, agency, NAICS, or vendor, with USDC micropayments via x402.
      -
    • F
      license
      Not graded
      quality
      B
      maintenance
      This MCP server enables AI assistants to answer questions about government tenders based on the tenders' real documents, with citations to the exact document and page. It supports listing, summarizing, and querying tenders through natural language.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server for analyzing Canadian federal spending data, offering tools for contract search, NLP, semantic search, anomaly detection, and money-flow tracing.
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      MCP server for MoltAwards that enables AI agents to search, filter, and engage with federal and state government contract opportunities, including teaming and commenting.
      35
      MIT

    TDQS

    A4.1/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: stats overview, structured search, recent tenders, and semantic matching. While search_tenders and match_tenders both return tenders, their input methods and intended use cases are well-differentiated by the descriptions.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case: get, search, get, match. The names are predictable and clearly indicate the action being performed.

    Tool Count5/5

    Four tools is an appropriate and well-scoped set for a government tender discovery server. Each tool covers a distinct need without unnecessary overlap or bloat.

    Completeness4/5

    The tool surface covers the main discovery workflows: checking stats, searching with filters, getting latest updates, and semantic matching. A minor gap is the lack of a dedicated tool to fetch full details of a specific tender by ID, but the provided tools likely return sufficient information for most workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues