Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,070Paid calls: 1,517Letters: 13Defects: 1,322counted 4 min ago
teppi

MCP serverio.guestgraph/mental-model

GuestGraph: One guest, not five strangers
UNRATEDActivestreamable-httpmcp.guestgraph.io

Overview

Score?
UNRATED 0.538
of what a free look can see, on 12 looks
Looks
12
last 6 hr ago
Tools
14
changed 6 hr ago

More info

URL
mcp.guestgraph.io/mcp
streamable-http
Says it is
companygraph-mcp-server 0.55.2
protocol 2025-06-18
In the record since
9 days ago

Among servers18,413 with a card

0median 0.606 · this server 0.538 · highest on record 0.8561

Toolsfrom sha256:b5bb56b430…a881ef · +0 −0 6 hr ago

The tools this server lists, read out of the definition it returned
ToolSchema
describe_errors
What a refused call looks like. A tool's output schema covers its answers only, so use this once, to branch on refusals or validate them. No input. Returns `errors`, every `code` w
input · output
describe_relations
What the schemas declare between types: references with form and cardinality, ownership, enums, joins, list kinds. Use for a diagram or audit; for one type's full schema use descri
input · output
describe_rule
One convention of the vocabulary as written, not a company's own rule (an entity of type `rule`: list_entities, get_entity). Input: `rule`, a number from list_rules such as R9, in
input · output
describe_schema
One type's schema: its sections as written and its declared relations as data. Use to learn what an entity of the type may hold; for the whole vocabulary use describe_relations. In
input · output
diagram
A picture of the model as Mermaid, from its edges or its schemas. Use to show connections; for edges as data use list_references. Input: `shape`; `id`, `domain` or `type` narrow it
input · output
fetch
One entity's page as written. Use to quote or display the source; for structured fields and references use get_entity. Input: `id` or address, from search, list_entities or any ref
input · output
find_evidence
Every edge into one skill, grouped by the type of the page that drew it. Use to check a claimed skill against its evidence. Input: `skill`, an id, canonical name or address; option
input · output
get_entity
One entity as structured data: fields, sections, tables, references both ways. Use to reason over one; for its page as written use fetch. Input: `id` or address, where its page sit
input · output
list_checks
The checks the model's own gate runs, from the checker release this server was built with. Use to see which rules a script enforces and which are left to a reader. No input. Return
input · output
list_entities
Entities in address order, or by when they came into the model. Use to browse; to find by words or name use search. Input: optional `type`, `owner` (an id or address), `order` (add
input · output
list_references
The model's edges, filtered and paged. Use to inspect one entity's relations or one kind of reference without taking whole entities. Optional `entity` (an id or address), `directio
input · output
list_rules
The vocabulary's conventions the model is held to, R0 onwards, from its core's CONVENTIONS.md. Use to resolve a number a schema or refusal cites, such as R9. A company's own rules
input · output
list_types
Every type the model's schemas declare. Use first, to learn which types exist before listing or describing one. No input. Returns `types`, each with `type`, `name`, `tagline`, `own
input · output
search
Find entities by words, substring or exact name. `match: "words"` needs every query word's stem in name, tagline, fields, sections or cells; `"text"` (default) is a case-insensitiv
input · output
Verify it yourselfnpx teppi-check https://mcp.guestgraph.io/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M3BJ3X36E3KBF1AFPEED9A8Y