Related Servers

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Related Servers

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  genpark-agent-recursive-selfofficial

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  license

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  quality

  B

  maintenance

  Enables MCP clients to run deterministic, zero-dependency recursive self-critique and reflection loops over a payload and optional options, iteratively evaluating and revising agent output to autonomously repair logic defects, test failures, and hallucinations. Supports direct JSON-RPC stdio integration into MCP-compliant clients such as Claude Desktop and Cursor.

  Updated 4 days ago (2026-09-29 10:19 UTC)

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• genpark-agent-hallucination

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  license

  -Not graded

  quality

  B

  maintenance

  Enables AI agents and MCP clients to decompose text into atomic claims and cross-verify them against reference knowledge to flag ungrounded claims, numerical contradictions, and hallucinated entities. Runs deterministically with zero dependencies over JSON-RPC stdio, avoiding LLM round-trips for routine verification tasks.

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• genpark-multi-agent-debate

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  maintenance

  Enables multi-agent debate cross-examination and consensus arbitration through a deterministic, zero-dependency MCP server, providing structured outputs and telemetry for autonomous AI workflows.

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• 

  genpark-agent-sandboxedofficial

  Alpha-Park

  F

  license

  -Not graded

  quality

  B

  maintenance

  Enables agents and MCP-compliant clients to run multi-language code in a deterministic, zero-dependency sandbox where AST security analysis blocks dangerous syscalls and isolated execution telemetry is captured. It exposes this through JSON-RPC 2.0 stdio, letting frameworks like LangGraph, CrewAI, Cursor, and Claude Desktop validate and execute agent-generated code safely.

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• ResiliReplay

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  maintenance

  Local-first MCP and coding-agent reliability harness that captures bounded, sanitized failure evidence and generates deterministic executable regression tests. Capture is opt-in; no API key or hosted service is required.

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• openclaw-output-vetter-mcp

  temurkhan13

  A

  license

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  quality

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  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.

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  4

  41 PyPI

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  MIT