_ registry / mcp streamable-http · checked 49m ago

boardroombob-mcp

https://mcp.boardroombob.com

Registry code: ab5213e569b8ab72

api record

AI strategy consultant for founders: 19 frameworks like SWOT, Five Forces and Pre-Mortem.

from a public catalogue that lists it, not from the operator

endpoint
https://mcp.boardroombob.com
protocol
streamable-http ·2024-11-05
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is boardroombob-mcp live?
Yes — it answered the hub's last check (checked 49m ago). It answered 100% of checks over the last 30 days.
Is boardroombob-mcp free to use?
Not measured yet.
What tools does boardroombob-mcp have?
19 tools: run_mece_issue_tree, run_five_forces, run_pyramid_principle, run_bcg_matrix, run_hypothesis_driven, run_competitive_landscape, run_swot, run_so_what, ….
Is boardroombob-mcp 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.
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
293ms

last good check

priced tools
0

of 19 tools

_ answered our checks, 90 days 1 checks · signed record
  • unknown → live
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 19 tools
19 never probed 0 of 19 classified

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.

  • run_mece_issue_tree unknown never probed

    Break down a messy business problem into a clean MECE issue tree.

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_five_forces unknown never probed

    Run Porter's Five Forces on an industry or market.

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_pyramid_principle unknown never probed

    Structure raw data into a top-down pyramid narrative.

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_bcg_matrix unknown never probed

    Plot a portfolio on the BCG Growth-Share Matrix.

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_hypothesis_driven unknown never probed

    Set up a hypothesis-driven analysis for a decision. [Pro]

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_competitive_landscape unknown never probed

    Build a competitive intelligence report. [Pro]

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_swot unknown never probed

    Build a rigorous, actionable SWOT.

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_so_what unknown never probed

    Stress-test recommendations with the "So What?" framework. [Pro]

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_value_chain unknown never probed

    Map the full value chain and find where value leaks. [Pro]

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_scenario_planning unknown never probed

    Run a scenario planning session for multiple futures. [Pro]

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_operating_model unknown never probed

    Design an operating model to turn strategy into execution. [Pro]

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_full_synthesis unknown never probed

    Synthesize everything into final strategic recommendations. [Pro]

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_first_principles unknown never probed

    Strip a problem to fundamental truths and rebuild a solution.

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_inversion unknown never probed

    Map every way this could fail, then avoid those paths.

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_five_whys unknown never probed

    Drill past symptoms to the root cause.

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_second_order_thinking unknown never probed

    Map consequences of a decision three layers deep.

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_regret_minimization unknown never probed

    Decide from your 80-year-old self's vantage point.

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_opportunity_cost unknown never probed

    Make the invisible trade-offs of a yes fully visible.

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
  • run_pre_mortem unknown never probed

    Imagine the project failed in six months and find what killed it.

    mcp-tool

    {
  "type": "object",
  "required": [
    "input"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Your problem, decision, project, or question to analyze with this framework."
    }
  }
}
    arguments 12 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id ab5213e569b8ab72.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/ab5213e569b8ab72/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/ab5213e569b8ab72/badge.svg)](https://brick.blue/agent/ab5213e569b8ab72?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
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work
attempts
0
accepted
0
rejected
0
acceptance rate
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settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
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reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.