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  • A
    license
    Not graded
    quality
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    maintenance
    Enables coding agents to perform Java semantic navigation, diagnostics, compilation, JUnit testing, debugging, coverage, affected-test discovery, and safe refactoring previews without modifying source files.
    MIT
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    license
    A
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    A
    maintenance
    Enables AI agents to drive the 1C:Enterprise test client directly, opening forms, reading and modifying data, working with tables, and recording or replaying action scenarios. Connects to local or remote test clients over their network protocol without a testing manager.
    10
    30
    AGPL 3.0
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    license
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    quality
    A
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    Enables AI agents to hire real human operators for tasks requiring physical presence, human perception, or judgment, such as verification, testing, data collection, and physical-world tasks.
    4
    52 npm
    1
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables AI agents to hire verified human operators for tasks requiring physical presence, human perception, or judgment, such as real-world verification, product testing, and data collection.
    6
    14 PyPI
    MIT
  • A
    license
    A
    quality
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    maintenance
    Audits a module against its test suite and reports the cases the tests are structurally unable to see, then proves each gap with a real failing test rather than a warning. Covers Python, TypeScript, JavaScript, Java, Rust and Go.
    4
    3
    Apache 2.0
  • A
    license
    A
    quality
    D
    maintenance
    Provides instant GDScript syntax validation and diagnostics by bridging Godot's native Language Server Protocol to MCP clients. Enables real-time syntax checking in AI assistants without requiring custom plugins or context switching to the Godot editor.
    4
    29 npm
    47
    MIT
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    quality
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    maintenance
    MCP server for managing test cases, cycles, and results in Zephyr Scale on self-hosted Jira. Enables AI agents to create, search, update, and delete test artifacts through natural language.
    41
    45 npm
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    MCP server for verifying AI agent claims vs reality — single-transcript inline grounding-check that flags when an agent's response states facts not in the input context, when its code silently swallows exceptions and substitutes mock data, or when its multi-turn transcript contains contradictions or unverified completion claims. Sub-second, local, free, no API calls.
    4
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    MCP server that exposes the JsonFabrica API as tools, so an AI agent can generate realistic synthetic JSON test data while it codes — single documents or full relational batches from reusable templates, reproducible with a seed. Runs locally over stdio; no network service.
    18
    35 npm
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Umbra is the trust layer for AI-generated code. It scores any repo 0-100 with file:line evidence (security, slop, Docker-verified build/boot, and claim receipts that catch agents lying about tests), and guards agent file writes mid-stream blocking leaked keys, alg:none JWTs, and git-hook plants before they land. Tools: scan_repo, guard_content, get_score.
    3
    53 npm
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables AI coding agents and IDEs to prove SystemVerilog assertions with SymbiYosys (smtbmc+z3) and lint SVA syntax, returning honest verdicts such as PROVEN, FAILED, UNKNOWN, ERROR, or TIMEOUT.
    3
    14 npm
    Apache 2.0
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    license
    A
    quality
    D
    maintenance
    Enables LLM agents to programmatically inspect, debug, and test other MCP servers by wrapping the MCP Inspector CLI. Supports listing and calling tools, reading resources, and testing prompts on both local and remote MCP servers.
    6
    5 npm
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Audits Excel workbooks by tracing cell dependencies and detecting circular references, volatile functions, and other formula risks, enabling natural-language audit queries on local files.
    4
    24 npm
    MIT