hovhannes.io

Yerevan Product Coffee: table dates, remaining seats, seat requests, and the field notes behind it.

Should I use this

Description quality

95%

Schema completeness

65%

Naming quality

97%

Poisoning risk

80%

Permission match

100%

Protocol compliance

100%

Findings (3)

HIGHTool poisoning patterns detected
MEDIUMTool description contains URL to non-standard domainin get_field_note
LOWTool 'get_sprint_details' description lacks action verbin get_sprint_details

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~2,204Tokens (tool definitions)

~3.4 KBTypical response size

Moderate attention impact (1.72% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "site": {
      "url": "https://hovhannes.io/mcp"
    }
  }
}

Remote endpoints

https://hovhannes.io/mcpstreamable-http

What it can do

Tool inventory

The scheduled dates for the private six-person product roundtable in Yerevan, with how many guest seats remain on each. Use this to answer when the next table is or whether a given date still has room, and to get the exact `startsAt` value that request_table_seat needs.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Output Schema

{
  "type": "object",
  "properties": {
    "tables": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "startsAt": {
            "type": "string",
            "description": "The exact instant to pass back to request_table_seat"
          },
          "date": {
            "type": "string"
          },
          "time": {
            "type": "string"
          },
          "city": {
            "type": "string"
          },
          "theme": {
            "type": "string"
          },
          "guestSeatsTotal": {
            "type": "number"
          },
          "seatsLeft": {
            "type": "number"
          },
          "isFull": {
            "type": "boolean"
          },
          "requestAt": {
            "type": "string"
          }
        },
        "required": [
          "startsAt",
          "date",
          "time",
          "city",
          "theme",
          "guestSeatsTotal",
          "seatsLeft",
          "isFull",
          "requestAt"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "tables"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Search Hovhannes Hovhannisyan's written field notes on product planning, MVP scope, and building with AI agents. Returns the closest notes with a short excerpt and a link. Use this when asked what he has written or thinks about a product topic, then get_field_note to read one in full.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 2,
      "maxLength": 120,
      "description": "What to look for, in words"
    }
  },
  "required": [
    "query"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Output Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string"
    },
    "matchCount": {
      "type": "number"
    },
    "notes": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "title": {
            "type": "string"
          },
          "url": {
            "type": "string"
          },
          "category": {
            "type": "string"
          },
          "publishedAt": {
            "type": "string"
          },
          "excerpt": {
            "type": "string"
          }
        },
        "required": [
          "title",
          "url",
          "category",
          "publishedAt",
          "excerpt"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "query",
    "matchCount",
    "notes"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

What a Clarity Sprint is, what it produces, how long it takes, what it costs, and where to apply. Use this when asked how to work with Hovhannes or what he offers.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Output Schema

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string"
    },
    "url": {
      "type": "string"
    },
    "summary": {
      "type": "string"
    },
    "duration": {
      "type": "string"
    },
    "price": {
      "type": "string"
    },
    "deliverable": {
      "type": "string"
    },
    "guarantee": {
      "type": "string"
    },
    "applyAt": {
      "type": "string"
    }
  },
  "required": [
    "name",
    "url",
    "summary",
    "duration",
    "price",
    "deliverable",
    "guarantee",
    "applyAt"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Every published field note with its title, category and date, newest first. Use this to see the full range of what has been written before searching within it, then get_field_note to read one in full.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Output Schema

{
  "type": "object",
  "properties": {
    "count": {
      "type": "number"
    },
    "notes": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "title": {
            "type": "string"
          },
          "url": {
            "type": "string"
          },
          "category": {
            "type": "string"
          },
          "publishedAt": {
            "type": "string"
          },
          "readTime": {
            "type": "string"
          }
        },
        "required": [
          "title",
          "url",
          "category",
          "publishedAt"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "count",
    "notes"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Ask for one of the five guest seats at a Yerevan Product Coffee table. Call list_upcoming_tables first and pass one of its exact `startsAt` values. This sends a real request to a real person, so it takes two calls: call it once to see exactly what would be sent, show that to the person it is about, then call it again with the same values and confirm: true. A request is not a booking — Hovhannes reads each one himself and replies within 3–5 days, and no seat is held until he does.

Input Schema

{
  "type": "object",
  "properties": {
    "fullName": {
      "type": "string",
      "minLength": 2,
      "maxLength": 80,
      "description": "The applicant's full name, as they would write it"
    },
    "email": {
      "type": "string",
      "minLength": 3,
      "maxLength": 254,
      "description": "Their email address. The reply and the confirmation both go here, so it has to be one they read"
    },
    "phone": {
      "type": "string",
      "minLength": 5,
      "maxLength": 32,
      "description": "Their phone number with its country code, like +374 11 22 33 44. Used only on the evening itself and deleted if the request is closed"
    },
    "linkedinUrl": {
      "type": "string",
      "minLength": 5,
      "maxLength": 500,
      "description": "Their personal LinkedIn profile URL (linkedin.com/in/…). Required: seats are chosen on who sits together, which cannot be judged from a name. Company pages, posts and shortened links are refused"
    },
    "perspective": {
      "type": "string",
      "enum": [
        "founder",
        "product",
        "design-research",
        "engineering",
        "growth",
        "customer",
        "hybrid-other"
      ],
      "description": "The perspective they bring: founder (Building or validating a product of your own.); product (Deciding scope, priority, discovery, and delivery.); design-research (Bringing users, flows, and evidence into the room.); engineering (Turning product intent into something real.); growth (Positioning, demand, distribution, retention.); customer (Sales, support, and discovery signals.); hybrid-other (More than one lens, and that is fine.)"
    },
    "eventStart": {
      "type": "string",
      "minLength": 4,
      "maxLength": 40,
      "description": "Which table. The exact `startsAt` from list_upcoming_tables is best, but the calendar day on its own (\"2026-09-10\") or the word \"next\" also resolve against the real schedule"
    },
    "building": {
      "description": "What they are building, in their own words. Optional but read",
      "type": "string",
      "maxLength": 1000
    },
    "discussionQuestion": {
      "description": "The one real decision or trade-off they are stuck on and want the table's help with. Optional, and the single most useful thing to include",
      "type": "string",
      "maxLength": 600
    },
    "motivation": {
      "description": "Why this table, now. Optional",
      "type": "string",
      "maxLength": 600
    },
    "contribution": {
      "description": "What they can offer the other five people. Optional",
      "type": "string",
      "maxLength": 600
    },
    "confirm": {
      "description": "Leave unset or false to validate and preview without sending anything. Set to true only after the person has seen the preview and agreed to it",
      "type": "boolean"
    }
  },
  "required": [
    "fullName",
    "email",
    "phone",
    "linkedinUrl",
    "perspective",
    "eventStart"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Output Schema

{
  "type": "object",
  "properties": {
    "submitted": {
      "type": "boolean"
    },
    "needsConfirmation": {
      "type": "boolean"
    },
    "alreadyRequested": {
      "type": "boolean"
    },
    "duplicate": {
      "type": "boolean"
    },
    "status": {
      "type": "string"
    },
    "table": {
      "type": "string"
    },
    "willSubmit": {
      "type": "object",
      "properties": {
        "fullName": {
          "type": "string"
        },
        "email": {
          "type": "string"
        },
        "phone": {
          "type": "string"
        },
        "linkedinUrl": {
          "type": "string"
        },
        "perspective": {
          "type": "string"
        },
        "table": {
          "type": "string"
        },
        "theme": {
          "type": "string"
        },
        "building": {
          "type": "string"
        },
        "discussionQuestion": {
          "type": "string"
        },
        "motivation": {
          "type": "string"
        },
        "contribution": {
          "type": "string"
        },
        "shownPubliclyAsAttendee": {
          "type": "boolean"
        }
      },
      "required": [
        "fullName",
        "email",
        "phone",
        "linkedinUrl",
        "perspective",
        "table",
        "theme",
        "building",
        "discussionQuestion",
        "motivation",
        "contribution",
        "shownPubliclyAsAttendee"
      ],
      "additionalProperties": false
    },
    "whatHappensOnConfirm": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "instruction": {
      "type": "string"
    },
    "privacyNote": {
      "type": "string"
    },
    "confirmationEmailedTo": {
      "type": "string"
    },
    "confirmationEmailStatus": {
      "type": "string"
    },
    "dailyLimit": {
      "type": "string"
    },
    "message": {
      "type": "string"
    }
  },
  "required": [
    "submitted"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

The complete text of a single field note. Use this after search_field_notes or list_field_notes, which return only an excerpt. Accepts the slug, the path, or the full URL — 'what-30-days-of-crawler-logs-showed', '/what-30-days-of-crawler-logs-showed' and 'https://hovhannes.io/what-30-days-of-crawler-logs-showed' all work.

Input Schema

{
  "type": "object",
  "properties": {
    "note": {
      "type": "string",
      "minLength": 3,
      "maxLength": 300,
      "description": "The note's slug, path, or URL"
    }
  },
  "required": [
    "note"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Output Schema

{
  "type": "object",
  "properties": {
    "title": {
      "type": "string"
    },
    "url": {
      "type": "string"
    },
    "category": {
      "type": "string"
    },
    "publishedAt": {
      "type": "string"
    },
    "readTime": {
      "type": "string"
    },
    "text": {
      "type": "string",
      "description": "The note in full, as plain text"
    }
  },
  "required": [
    "title",
    "url",
    "category",
    "publishedAt",
    "text"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Recommended Prompts

fetch_info

Fetch [information type] using hovhannes.io

Expected tools: get_sprint_details

find_specific

Find [specific item] using hovhannes.io

Expected tools: search_field_notes

retrieve_data

Get details about [item] from hovhannes.io

Expected tools: get_sprint_details

search_research

Search for information about [topic] using hovhannes.io

Expected tools: search_field_notes

list_items

List all [items] available in hovhannes.io

Expected tools: list_upcoming_tables

Recorded Call Examples

1 / 10

Prompt: Example call to get_field_note

Tool: get_field_note

Input Parameters

{
  "note": "example-1"
}

Output Result

{
  "result": {
    "content": [
      {
        "type": "text",
        "text": "{\n  \"error\": \"No field note called \\\"example-1\\\".\",\n  \"availableNotes\": [\n    \"can-ai-write-your-product-plan\",\n    \"what-the-stack-actually-costs\",\n    \"i-made-my-site-agent-operable\",\n    \"what-30-days-of-crawler-logs-showed\",\n    \"mapping-features-to-pages-and-flows\",\n    \"what-to-do-after-the-plan-is-written\",\n    \"from-an-idea-to-a-build-ready-plan\",\n    \"validation-is-not-a-survey\",\n    \"what-a-build-ready-plan-actually-looks-like\",\n    \"what-an-ai-agent-needs-before-it-writes-code\",\n    \"write-the-constraint-not-the-instruction\",\n    \"a-backlog-is-not-a-build-plan\",\n    \"when-an-ai-agent-should-stop-and-ask\",\n    \"see-what-breaks-before-you-build\",\n    \"build-logs-beat-perfect-roadmaps\",\n    \"mvp-first-what-actually-deserves-to-ship\",\n    \"why-more-features-create-less-clarity\"\n  ]\n}"
      }
    ],
    "isError": true
  },
  "durationMs": 35
}

Duration: 35ms

Community

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Evidence

Recent observations

Oct 5, 2026, 11:34 PM UTCverifiedversion not recorded6 tools

Sep 28, 2026, 3:03 AM UTCverifiedversion not recorded6 tools

Sep 21, 2026, 3:34 PM UTCverifiedversion not recorded6 tools

hovhannes.io

Quality & Safety

Findings (3)

Context Cost

One-Click Install

Remote endpoints

Tool inventory

Tools (6)

Input Schema

Output Schema

Input Schema

Output Schema

Input Schema

Output Schema

Input Schema

Output Schema

Input Schema

Output Schema

Input Schema

Output Schema

Recommended Prompts

Recorded Call Examples

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Recent observations