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TealFlowMCP

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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A4.6/5.0

    Scored across 14 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: listing modules, getting module details, searching by analysis, checking dataset compatibility, discovering datasets, inspecting dataset info, generating code, and managing the environment. Even similarly named tools like list_datasets and discover_datasets serve different functions (enumerating standard datasets vs. scanning a directory).

    Naming Consistency5/5

    All tools follow a consistent tealflow_ verb_noun pattern (list, get, search, check, discover, generate, setup, snapshot). The only exception is tealflow_agent_guidance, but it is a meta-tool for initial instructions and does not break the overall consistency.

    Tool Count5/5

    14 tools provide comprehensive coverage for Teal application development without redundancy. Each tool addresses a distinct step in the workflow from guidance and discovery to code generation and environment validation.

    Completeness5/5

    The tool set covers the full lifecycle of Teal app development: initial guidance, module and dataset discovery, compatibility checks, code generation for data and modules, startup validation, and environment setup/snapshotting. There are no obvious dead ends or missing operations.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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