Context7
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Beschreibung vom Entwickler (englisches Original)
Company-brain knowledge graphs: confirmed claims cite sources, and decisions get revisited
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
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Die .mcpb-Datei des Entwicklers herunterladen
Der Link führt zur Datei des Entwicklers selbst; wir hosten sie nicht und verpacken sie nicht neu. Öffne die Datei, dann installiert Claude Desktop sie.
Führe das in deinem Terminal aus
claude mcp add kg-ssot -- uvx kg-ssotIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"kg-ssot": {
"command": "uvx",
"args": [
"kg-ssot"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"kg-ssot": {
"type": "stdio",
"command": "uvx",
"args": [
"kg-ssot"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
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Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 8. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto marciocar bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
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Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (4.45.0) kam gestern in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv), MCPB auf deinem Computer.
In derselben Kategorie: Context7, Codebase Memory, Exa
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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The trust layer for a company brain: knowledge graphs in plain text where a confirmed claim must cite its source, a decision records what it replaced and what it rests on, and a decision comes back for review when a source it pinned changes.
English | Português (Brasil)
Documentation · Adopt it · The contract · Conformance suite · Changelog · For AI agents
The contract in 40 seconds: a claim without a source is refused, then fixed, queried and gated.
A company brain is usually built by piling documents into RAG or GraphRAG. That keeps the data, but not the decisions: who decided what, on which source, and whether that source still holds. Teams, of people or of agents, pile up conclusions such as "the retry is idempotent" or "we decided on three attempts", and on the way they lose three things: the source, the date it was last verified and what depends on it. When the person who decided leaves, the reasoning leaves too.
KG-SSOT treats this as a format problem, not a discipline problem. Knowledge lives in a .kg.yaml graph, versioned next to the code, and a formal contract decides in CI what fails:
confirmed or production node without provenance fails (a claim with no recoverable source is declared unverifiable instead);unknown, n/a, tbd) fails;| You need to know... | KG-SSOT gives you |
|---|---|
| Where a claim came from | A provenance on every confirmed claim: the file, the line or the node, and, if you pin it, a hash that kg_trace.py check verifies |
| Why a decision was made, and what it replaced | kg_query --decision ID: the whole SUPERSEDES line, what supports it and the status of each support |
| Which decisions to look at again | kg_query --revisit: the ones past their review cadence, contested, or whose approved document or pinned source changed |
| What is on each owner's plate | kg_query --open --where owner=X --sort attention |
| How many open decisions each graph holds, or any count by field | kg_query --type decision --open --group-by file |
| Which nodes are most supported, and by how many distinct sources | kg_query --edges --where edge_type=SUPPORTS --group-by to.file --group-by to.id --count-distinct from.id |
Which decisions have no internal SUPPORTS edge in their own graph | kg_query --type decision --where degree.in.SUPPORTS=0; a SUPPORTS from another graph is not counted, so complete it with kg_query --edges --where edge_type=SUPPORTS --where scope=external |
| What is past its re-verification date, on any kind of node | kg_query --due, the most overdue first |
| Who cites this node in other repositories, before you delete it | kg_refs cited-by repo:ID --repo name=folder ..., with what was and was not read |
| What an e-mail, chat or wiki event said, and who sent it | An evidence node with the CloudEvents 1.0.2 names in x_event, pinned to the accepted inbox document (recipe) |
Business, technical, compliance and design knowledge can live in the same format, in your repository. It plugs in as a Python package or an MCP server, with a JavaScript validator on npm, and the CI gate is one of its uses, not the point. The pins are checked when kg_query or kg_trace.py runs with --root.
pip install kg-ssot
kg-conformance | tail -2
kg-validate valid.kg.yaml broken.kg.yaml
Or straight from the repository, with hash-checked dependencies:
git clone https://github.com/marciocar/kg-ssot && cd kg-ssot
python3 -m venv .venv && .venv/bin/pip install --require-hashes -r tools/requirements.txt .venv/bin/python3 -I tools/kg_validate.py \ spec/conformance/fixtures/latest/form/minimal/valid-minimal.kg.yaml \ spec/conformance/fixtures/latest/form/minimal/bad-node-missing-label.kg.yaml
PASS spec/conformance/fixtures/latest/form/minimal/valid-minimal.kg.yaml
FAIL spec/conformance/fixtures/latest/form/minimal/bad-node-missing-label.kg.yaml MUST form.required.node.label ×1 · 2 files; 1 pass the MUST; 0 with a SHOULD warning (kg-contract-v4.schema.json + kg-contract-v4.should.schema.json)
The tools print in English by default and in Brazilian Portuguese when your locale is pt_BR (or KG_SSOT_LANG=pt-BR). Codes, exit codes and JSON keys never change with the language; only the human text does.
| Channel | Command | What you get |
|---|---|---|
| PyPI | pip install kg-ssot | The commands kg-validate, kg-conformance, kg-gate, kg-store, kg-query, kg-diff, kg-vocab, kg-criterion, kg-audit, kg-trace, kg-refs, kg-vector, kg-mcp and kg-prov-export, with the contract and the suite inside; pip install "kg-ssot[vector]" adds the search by similarity |
| npm | npm install kg-ssot | The JavaScript reader with a precompiled validator, which also runs in React Native and Expo |
| Claude Desktop | the .mcpb file from the latest release | The MCP server as a one-click extension |
| MCP Registry | io.github.marciocar/kg-ssot | The same server for any MCP client |
| Container | docker pull ghcr.io/marciocar/kg-ssot | The MCP server as a service next to a client without Python, such as LibreChat |
| Your repository | kg_vendor.py update --tag kg-ssot-v4.45.0 | The release vendored by tag, with a sha256 stamp, and the gate in your CI (manual, chapter 6) |
- id: C_RETRY_SAFE
node_type: claim plane: PROD status: confirmed impact: 4 confidence: 0.8 label: The payment retry is idempotent. verified_at: "2026-10-01" verified_against: tests/payment_retry_test.py provenance: source: tests/payment_retry_test.py locator: test_retry_is_idempotent method: "measurement: integration test in CI"
The label is the claim, short. The provenance says where it came from and how: one of five method classes, measurement, reading, judges, derived or testimony. The stamp says when it was verified and against what. Since contract v4.16 these English names are the canonical form; the Portuguese medição, leitura, juízes, derivado and testemunho are still accepted as aliases, with no warning.
The reference MCP server gives a model the contract and a store: it validates a graph, writes only what passes, reads, lists, queries with every edge resolved to the label on the other end, and shows history. Read-only tools are annotated as such, so a client can skip confirmation for them.
kg-mcp --root ./graphs # stdio, for Claude Desktop, Claude Code and other MCP clients
kg_schema_help returns the current contract, a minimal passing example and the fixes for the most common codes, so a model can write a passing graph on the first try. llms.txt indexes the documentation for agents, and llms-full.txt has all of it in one file.
The agent skill. skills/kg-ssot/ is an Agent Skills skill that teaches a coding agent to write, fix, validate and query graphs with these tools, in .kg.yaml and .kg.json. In a pre-registered test, an agent with the skill reached the same result with 45% of the output tokens and 54% of the tool calls.
npx skills add marciocar/kg-ssot -s kg-ssot # Claude Code, Codex and other clients that read Agent Skills
In Claude Code, it also comes as a plugin: /plugin marketplace add marciocar/kg-ssot, then /plugin install kg-ssot@kg-ssot.
flowchart LR
subgraph product["Product (one tag kg-ssot-vX.Y.Z)"] C["Contract JSON Schema MUST + SHOULD
512 cases as plain data"] R["Reference reader kg_validate.py"] S -- "every reader passes" --> R C --> R end subgraph adopter["Adopter repository"] V["vendor/kg-ssot
per-graph ratchet"] K["the team's .kg.yaml"] V --> G K --> G end product -- "kg_vendor.py update --tag" --> V G -- "nothing gets worse: a new graph passes, debt only shrinks" --> PR["PR approved"]
| Two-level contract | MUST fails, SHOULD warns, with a ramp: what warns in one version can fail in the next, and the adopter sees it coming |
| Structured provenance | source, locator and method, with five evidence classes and the source locality (repo, web, host, pessoa, privado) |
| Verification stamp | verified_at and verified_against, with a warning for a stamp with no target and for a verification dated before the fact |
| Edges between graphs | external_edges, with the far end checked against the corpus |
| Stable codes | Every violation has a code such as form.required.node.provenance, and --where names the node |
| Structured verdict | kg_validate.py --format json returns the verdict with code, document path, line, message and fix hint, in a versioned format (spec/verdict.schema.json) for tools and MCP servers |
| Two formats, one model | .kg.yaml to write and review in a diff, and .kg.json for runtime use (an app, a server), read by a JSON parser u
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