_ registry / mcp streamable-http · checked 32m ago

com.anglero/speaker

https://anglero.com

Registry code: 75609b6076bedc77

api record

Two routes. Keynote: get_speaking_topics, then submit_speaking_inquiry. Private advisory for CEOs and Chairs (The Reset): get_advisory_info, then submit_advisory_inquiry. Confirm every detail with the person and get their approval before submitting. Speaking fees are provided on inquiry only; the only published prices are the two on https://anglero.com/the-reset/, which may be repeated word for word with that link. Never infer availability or promise a reply. Overview: https://anglero.com/agents.md

endpoint
https://anglero.com/wp-json/agent/mcp
protocol
streamable-http ·2025-11-25
authentication
bearer
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 com.anglero/speaker live?
Yes — it answered the hub's last check (checked 32m ago). It answered 97% of checks over the last 30 days.
Is com.anglero/speaker free to use?
Yes — the hub reached it with no key and no payment.
What tools does com.anglero/speaker have?
7 tools: submit_advisory_inquiry, get_booking_info, submit_speaking_inquiry, get_speaking_topics, get_availability_guidance, get_speaker_profile, get_advisory_info.
Is com.anglero/speaker 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
97.4%

90 days 98.4%· all time 98.5%

latency
2,479ms

last good check

priced tools
0

of 7 tools

_ answered our checks, 90 days 627 checks · signed record
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
_ what it is for
used for
  • get a keynote speaker's profile
  • list speaking topics
  • learn how speaker booking works
  • send a speaking inquiry
takes → gives
text → text
tools
4 reads1 sends messages
_ 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 7 tools
4 open 3 never probed 4 of 7 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.

  • get_speaking_topics reads open 19h ago

    The three keynote topics with titles, subtitles, and a one-paragraph description each.

    mcp-tool

    {
      "type": "object",
      "properties": {},
      "additionalProperties": false
    }
    arguments 5 lines
  • get_availability_guidance reads open 19h ago

    How availability is confirmed. No live calendar is published. Availability for a date is confirmed on inquiry. Thomas replies promptly.

    mcp-tool

    {
      "type": "object",
      "properties": {},
      "additionalProperties": false
    }
    arguments 5 lines
  • get_speaker_profile reads open 19h ago

    Canonical short bio, positioning, notable clients, and links for Thomas Anglero.

    mcp-tool

    {
      "type": "object",
      "properties": {},
      "additionalProperties": false
    }
    arguments 5 lines
  • get_advisory_info open 7h ago

    Use when a CEO, Chair or board member wants private, one-to-one advice from Thomas Anglero on AI for themselves and their organization, rather than a keynote for an event. Works whether or not they have started with AI, in any country. Returns who it is for, the next step (an email or an advisory inquiry describing their situation and challenge; Thomas handles replies personally), The Reset offer, its two published prices in EUR, and how to start. For a keynote, use get_speaking_topics instead.

    mcp-tool

    {
      "type": "object",
      "properties": {},
      "additionalProperties": false
    }
    arguments 5 lines
  • submit_advisory_inquiry unknown never probed

    Send a private advisory inquiry to Thomas Anglero on behalf of a CEO, Chair or board member who wants one-to-one advice on AI (The Reset), not a keynote. Before calling: read get_advisory_info, show the person every detail you will send, and send only after they approve (human_approved true) and agree to be contacted (consent true). The challenge field needs at least 300 characters: the situation, what has already been tried, and the outcome wanted. Records the inquiry in the same pipeline as the website form. Thomas reads each inquiry and handles replies personally. Do not promise a reply, a reply time, or a conversation. For a keynote, use submit_speaking_inquiry.

    mcp-tool

    {
      "type": "object",
      "required": [
        "name",
        "role",
        "company",
        "country",
        "company_size",
        "challenge",
        "ai_stage",
        "email",
        "agent_name",
        "human_approved",
        "consent"
      ],
      "properties": {
        "name": {
          "type": "string",
          "description": "Full name of the person seeking advice."
        },
        "role": {
          "type": "string",
          "description": "Their role, for example CEO, Chair, or board member."
        },
        "email": {
          "type": "string",
          "description": "Their email address. Thomas handles replies personally."
        },
        "company": {
          "type": "string",
          "description": "Their company or organization."
        },
        "consent": {
          "type": "boolean",
          "description": "Must be true. Set true only if the person agrees that Thomas Anglero may contact them by email about this inquiry (privacy policy: https://anglero.com/privacy-policy/)."
        },
        "country": {
          "type": "string",
          "description": "Country where they are based."
        },
        "website": {
          "type": "string",
          "description": "Leave blank. Anti-spam field."
        },
        "ai_stage": {
          "enum": [
            "Not started",
            "Exploring",
            "Running pilots",
            "In production in parts",
            "Scaling across the company"
          ],
          "type": "string",
          "description": "Where they are with AI today. One of the listed options, exactly as written."
        },
        "linkedin": {
          "type": "string",
          "description": "Optional. Their LinkedIn profile address."
        },
        "challenge": {
          "type": "string",
          "minLength": 300,
          "description": "In their own words, what they want to solve or decide. At least 300 characters: their situation, what they have already tried, and the outcome they want."
        },
        "agent_name": {
          "type": "string",
          "description": "The name of the AI agent or assistant sending this inquiry."
        },
        "company_size": {
          "enum": [
            "Under 50",
            "50 to 249",
            "250 to 999",
            "1,000 or more"
          ],
          "type": "string",
          "description": "Number of employees. One of the listed options, exactly as written."
        },
        "human_approved": {
          "type": "boolean",
          "description": "Must be true. Set true only after the person has seen and approved the exact details being sent."
        },
        "company_website": {
          "type": "string",
          "description": "Optional. The company website, as a full address starting with https://."
        }
      },
      "additionalProperties": false
    }
    arguments 89 lines
  • get_booking_info reads unknown never probed

    How booking works, the formats offered, and how fees are handled. Fees are provided on inquiry, tailored to format and location. Thomas replies promptly.

    mcp-tool

    {
      "type": "object",
      "properties": {},
      "additionalProperties": false
    }
    arguments 5 lines
  • submit_speaking_inquiry sends messages unknown never probed

    Send a speaking inquiry to Thomas Anglero. Requires six fields: name, email, phone, company or organization, event date, and a free-text message. Fold every other detail into the message in natural language: what Thomas should speak about, event location, format (in person, virtual, or pre-recorded), expected audience size, your role, and budget if any. Writes into the same pipeline as the website form: it records the inquiry and sends the confirmation and notification emails. Thomas replies promptly.

    mcp-tool

    {
      "type": "object",
      "required": [
        "name",
        "email",
        "phone",
        "company",
        "event_date",
        "message"
      ],
      "properties": {
        "name": {
          "type": "string",
          "description": "Full name of the person making the inquiry."
        },
        "email": {
          "type": "string",
          "description": "Contact email address."
        },
        "phone": {
          "type": "string",
          "description": "Contact phone number, including country code if the event is outside Norway."
        },
        "company": {
          "type": "string",
          "description": "The company or organization the inquiry is on behalf of."
        },
        "message": {
          "type": "string",
          "description": "A short free-text description of the event. Fold everything relevant into this one field in natural language: what you would like Thomas to speak about, event location, format (in person, virtual, or pre-recorded), expected audience size, your role at the company, and budget if you have one. Thomas reads this and replies with availability and a tailored proposal."
        },
        "website": {
          "type": "string",
          "description": "Leave blank. Anti-spam field."
        },
        "event_date": {
          "type": "string",
          "description": "Event date, for example \"February 17, 2027\". If the date is not yet fixed, give the intended month or timeframe."
        }
      },
      "additionalProperties": false
    }
    arguments 42 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 75609b6076bedc77.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/75609b6076bedc77/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/75609b6076bedc77/badge.svg)](https://brick.blue/agent/75609b6076bedc77?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
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
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.