reliasim

endpoint

https://reliasim.com/mcp

protocol

streamable-http ·2024-11-05

authentication

none observed

public key

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karma

0 · newcomer

Is reliasim live?

Yes — it answered the hub's last check (checked 2h ago). It answered 100% of checks over the last 30 days.

Is reliasim free to use?

Yes — the hub reached it with no key and no payment.

What tools does reliasim have?

7 tools: run_gain_loss, run_buffer_tradeoff, get_chapter_facts, get_chapter_narrative, compare_chapters, explain_concept, find_bottleneck.

Is reliasim safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• get_chapter_facts reads open 8h ago

  Structural facts of the selected chapter — topology, rate limits, interrupt distributions, expected efficiency. Use when the user asks about the line's configuration. ANTI-FABRICATION: rates and distributions are verified .aidos-file values. Quote VERBATIM; do not estimate or substitute training-data recall.

  mcp-tool

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  {
    "type": "object",
    "properties": {
      "chapter": {
        "enum": [
          "bs1-ct",
          "bs2-ct",
          "bs3-ct",
          "bs4-ct",
          "bs1-leds",
          "bs2-leds",
          "bs3-leds",
          "bs4-leds",
          "cmp-buffer-reliability",
          "cmp-shared-palletizer"
        ],
        "type": "string",
        "default": "bs1-ct",
        "description": "Which curriculum chapter the tool should answer about. Format: `bs<1-5>-<ct|leds>`. Both tracks run on the same real plant data — `ct` = Constraint-Level (interrupts rolled up to one Weibull per machine, 5 total) and `leds` = LEDS-Level (interrupts drilled down to named failure modes, 36 total). Defaults to bs1-ct when omitted."
      }
    }
  }

  arguments 22 lines copy
• get_chapter_narrative reads open 8h ago

  Long-form narrative for the selected chapter — what the chapter adds to the complexity ladder and the key teaching point. Use when the user asks 'walk me through this' or wants the conceptual primer. Pure prose, no numerical claims; safe to summarize.

  mcp-tool

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  {
    "type": "object",
    "properties": {
      "chapter": {
        "enum": [
          "bs1-ct",
          "bs2-ct",
          "bs3-ct",
          "bs4-ct",
          "bs1-leds",
          "bs2-leds",
          "bs3-leds",
          "bs4-leds",
          "cmp-buffer-reliability",
          "cmp-shared-palletizer"
        ],
        "type": "string",
        "default": "bs1-ct",
        "description": "Which curriculum chapter the tool should answer about. Format: `bs<1-5>-<ct|leds>`. Both tracks run on the same real plant data — `ct` = Constraint-Level (interrupts rolled up to one Weibull per machine, 5 total) and `leds` = LEDS-Level (interrupts drilled down to named failure modes, 36 total). Defaults to bs1-ct when omitted."
      }
    }
  }

  arguments 22 lines copy
• compare_chapters reads open 22h ago

  Side-by-side comparison of two chapters — tracks, topology, OEE, throughput, headline bottleneck. Output is sim-derived (no interpretation drift). Use for 'how does X compare to Y?' / 'what's the difference between Constraint-Level and LEDS-Level on the same model?' / 'what changes when we add buffers?' questions. ANTI-FABRICATION: per-chapter OEE/throughput numbers are real reference values; the side-by-side delta is computed from them, not estimated. Quote VERBATIM.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "chapter_a",
      "chapter_b"
    ],
    "properties": {
      "chapter_a": {
        "enum": [
          "bs1-ct",
          "bs2-ct",
          "bs3-ct",
          "bs4-ct",
          "bs1-leds",
          "bs2-leds",
          "bs3-leds",
          "bs4-leds",
          "cmp-buffer-reliability",
          "cmp-shared-palletizer"
        ],
        "type": "string",
        "default": "bs1-ct",
        "description": "First chapter id (left column of the comparison). Defaults to bs1-ct."
      },
      "chapter_b": {
        "enum": [
          "bs1-ct",
          "bs2-ct",
          "bs3-ct",
          "bs4-ct",
          "bs1-leds",
          "bs2-leds",
          "bs3-leds",
          "bs4-leds",
          "cmp-buffer-reliability",
          "cmp-shared-palletizer"
        ],
        "type": "string",
        "default": "bs1-leds",
        "description": "Second chapter id (right column of the comparison). Defaults to bs1-leds — same plant data as bs1-ct, but with interrupts drilled down to named failure modes; the canonical first-look comparison."
      }
    }
  }

  arguments 43 lines copy
• explain_concept reads open 22h ago

  Definitional primer for ReliaSim's framework concepts — Constraint, Buffer, Interrupt, Converter, cascading losses, OEE, Gain/Loss methodology, Buffer Tradeoff. Returns bundled theory content, NOT interpretation of any specific simulation run. Use for 'what is X?' / 'how does X work?' / 'explain the framework' questions. For line-specific claims (throughput, availability, what-if), call the sim tools instead.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "concept"
    ],
    "properties": {
      "concept": {
        "enum": [
          "constraint",
          "buffer",
          "interrupt",
          "converter",
          "cascading_losses",
          "oee",
          "gain_loss",
          "buffer_tradeoff"
        ],
        "type": "string",
        "default": "constraint",
        "description": "Which concept to explain. Returns a definitional primer — theory, not interpretation of a specific simulation run. Use for 'what is a Constraint?' / 'what are cascading losses?' / 'explain Gain-Loss'."
      }
    }
  }

  arguments 23 lines copy
• find_bottleneck reads open 8h ago

  Single Run bottleneck analysis for the selected chapter — which node has the worst availability, per-interrupt downtime split, throughput, OEE. All eight chapters return verified dys-cli sales-prototype numbers. ANTI-FABRICATION: numbers in the response are canonical reference values from real dys-cli engine runs. Quote them VERBATIM. Do not round, estimate, or recall from training data. For follow-ups about the same chapter, re-call this tool.

  mcp-tool

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  {
    "type": "object",
    "properties": {
      "chapter": {
        "enum": [
          "bs1-ct",
          "bs2-ct",
          "bs3-ct",
          "bs4-ct",
          "bs1-leds",
          "bs2-leds",
          "bs3-leds",
          "bs4-leds",
          "cmp-buffer-reliability",
          "cmp-shared-palletizer"
        ],
        "type": "string",
        "default": "bs1-ct",
        "description": "Which curriculum chapter the tool should answer about. Format: `bs<1-5>-<ct|leds>`. Both tracks run on the same real plant data — `ct` = Constraint-Level (interrupts rolled up to one Weibull per machine, 5 total) and `leds` = LEDS-Level (interrupts drilled down to named failure modes, 36 total). Defaults to bs1-ct when omitted."
      }
    }
  }

  arguments 22 lines copy
• run_gain_loss reads unknown never probed

  Gain/Loss experiment — disable each interrupt one at a time, measure production recovered. Reveals the ACTUAL impact of each failure mode (Gain ≠ Loss: removing one lets others fire more often). Available on `bs1-leds`, `bs3-leds`, `bs4-ct`, `bs4-leds`. Use when the user asks 'what if we fixed X?' / 'which interrupt matters most if we actually fixed it?' / 'show me the Pareto'. ANTI-FABRICATION: per-interrupt recovered-production numbers come from real dys-cli runs. Quote VERBATIM; the Gain ≠ Loss interaction is exactly the kind of figure LLMs are prone to fabricate — don't.

  mcp-tool

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  {
    "type": "object",
    "properties": {
      "chapter": {
        "enum": [
          "bs1-ct",
          "bs2-ct",
          "bs3-ct",
          "bs4-ct",
          "bs1-leds",
          "bs2-leds",
          "bs3-leds",
          "bs4-leds",
          "cmp-buffer-reliability",
          "cmp-shared-palletizer"
        ],
        "type": "string",
        "default": "bs1-ct",
        "description": "Which curriculum chapter the tool should answer about. Format: `bs<1-5>-<ct|leds>`. Both tracks run on the same real plant data — `ct` = Constraint-Level (interrupts rolled up to one Weibull per machine, 5 total) and `leds` = LEDS-Level (interrupts drilled down to named failure modes, 36 total). Defaults to bs1-ct when omitted."
      }
    }
  }

  arguments 22 lines copy
• run_buffer_tradeoff reads unknown never probed

  Buffer Tradeoff experiment — sweep a buffer's capacity from 50 → 10,000 units, measure throughput gain. Shows the diminishing-returns elbow for buffer sizing. Only defined on `bs4-ct` and `bs4-leds`; each chapter has THREE inline buffers with different placements (pass `buffer` id to pick one). Compare CT vs LEDS on the same slot to see why interrupt-detail level changes buffer ROI math (e.g. b3: CT +23.7% vs LEDS +64.2%). Use when the user asks 'how big should the buffer be?' / 'do buffers help on this line?' / 'which buffer position gives the most gain?' / 'what's the diminishing-returns point?'. ANTI-FABRICATION (CRITICAL): the specific tradeoff numbers (e.g. CT +23.7% vs LEDS +64.2%) are sweep-derived reference values. Quote VERBATIM in your reply; do NOT recall similar percentages from training data — every buffer position has different math.

  mcp-tool

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  {
    "type": "object",
    "properties": {
      "buffer": {
        "type": "string",
        "default": "b3",
        "description": "Buffer id to sweep. The Buffer-Options Constraint-Level model has `b3` (Buffer 1, between Capper↔Labeler), `b4` (Buffer 2, between Labeler↔Case Packer), `b5` (Buffer 3, between Case Packer↔Palletizer). The Buffer-Options LEDS model has `b2` (Buffer Option 1, earliest), `b3` (Buffer Option 2, middle), `b4` (Buffer Option 3, last). Defaults to b3 if omitted — but pick the buffer that matches the question (e.g. 'the first inline buffer' = b3 on CT, b2 on LEDS)."
      },
      "chapter": {
        "enum": [
          "bs1-ct",
          "bs2-ct",
          "bs3-ct",
          "bs4-ct",
          "bs1-leds",
          "bs2-leds",
          "bs3-leds",
          "bs4-leds",
          "cmp-buffer-reliability",
          "cmp-shared-palletizer"
        ],
        "type": "string",
        "default": "bs4-ct",
        "description": "Chapter id. Only `bs4-ct` and `bs4-leds` have buffer tradeoffs defined."
      }
    }
  }

  arguments 27 lines copy

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