Context7
Up-to-date docs for AI agents
Beschreibung vom Entwickler (englisches Original)
Git-backed team knowledge compiled into token-budgeted context bundles for coding agents
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
BRIEFD_SOURCE, BRIEFD_API_TOKEN, BRIEFD_GIT_TOKENAls geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"briefd": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BRIEFD_SOURCE",
"-e",
"BRIEFD_API_TOKEN",
"-e",
"BRIEFD_GIT_TOKEN",
"ghcr.io/ismailperim/briefd:0.6.1"
],
"env": {
"BRIEFD_SOURCE": "your-value",
"BRIEFD_API_TOKEN": "your-value",
"BRIEFD_GIT_TOKEN": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add briefd --env BRIEFD_SOURCE=your-value --env BRIEFD_API_TOKEN=your-value --env BRIEFD_GIT_TOKEN=your-value -- docker run -i --rm -e BRIEFD_SOURCE -e BRIEFD_API_TOKEN -e BRIEFD_GIT_TOKEN ghcr.io/ismailperim/briefd:0.6.1Trag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"briefd": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BRIEFD_SOURCE",
"-e",
"BRIEFD_API_TOKEN",
"-e",
"BRIEFD_GIT_TOKEN",
"ghcr.io/ismailperim/briefd:0.6.1"
],
"env": {
"BRIEFD_SOURCE": "your-value",
"BRIEFD_API_TOKEN": "your-value",
"BRIEFD_GIT_TOKEN": "your-value"
}
}
}
}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": {
"briefd": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BRIEFD_SOURCE",
"-e",
"BRIEFD_API_TOKEN",
"-e",
"BRIEFD_GIT_TOKEN",
"ghcr.io/ismailperim/briefd:0.6.1"
],
"env": {
"BRIEFD_SOURCE": "your-value",
"BRIEFD_API_TOKEN": "your-value",
"BRIEFD_GIT_TOKEN": "your-value"
}
}
}
}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.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
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 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto ismailperim bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Das musst du eintragen: BRIEFD_SOURCE, BRIEFD_API_TOKEN, BRIEFD_GIT_TOKEN
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.6.1) kam vor 36 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Docker 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
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
briefd
Your agents, briefed. Not flooded.
A self-hosted context compiler for AI coding teams: git-backed knowledge, served to coding agents
as token-budgeted context bundles over MCP.
▶ Watch the 90-second explainer · How it works · Quickstart
Teams that build many projects in one domain keep the same knowledge in their heads and in scattered CLAUDE.md / AGENTS.md files: terminology, business rules, architecture decisions, conventions. Loading all of it into every session burns thousands of tokens on every turn, and whatever doesn't fit gets left out.
briefd inverts the model: context on demand, not up front. Your knowledge lives as Markdown in a git repository. briefd indexes it and answers one question from your coding agent — *"what do I need to know for this task?"* — with a compiled, deduplicated bundle that never exceeds the token budget you set.
On the sample knowledge repo in this repository (44 documents, 47 realistic developer tasks), compile_bundle spends 86% fewer tokens per task than pasting everything into `CLAUDE.md` while still containing the section that answers the task 96% of the time (98% with the English-only all-MiniLM-L6-v2 model, the figure the explainer video quotes). The realistic middle ground — a hand-curated CLAUDE.md with just conventions and the glossary — costs 2.8× more than a bundle and has the answer less than half the time.
Reproduce it with make bench; the method is in internal/eval/bench.go.
That is what the tokenizer says. Inside real Claude Code sessions (eval/session/, Sonnet, 10 tasks, same prompts) briefd cut the context carried per turn by 35% and the cost per task by 40% with identical answers — at the price of 3–4 extra tool-call round trips per task. The saving grows with the size of your knowledge repo; a static CLAUDE.md cannot.
Memory tools (agentmemory, Mem0, claude-mem) record what *an agent* observed in its sessions, automatically, per user. briefd serves what *the team* decided, written by people and reviewed like code. They answer different questions and run side by side.
| Agent memory | briefd | |
|---|---|---|
| Source of truth | A database the agent writes to | Markdown in a git repository |
| Who writes | The agent, automatically | People; agents open pull requests |
| Scope | One agent / one user | The whole team, every project in the domain |
| Review | None | Every change has a diff, a reviewer and a name |
| Staleness | Unknown | Dates on every section; drift against the code it governs |
| What it can't answer | Silently absent | Listed on the dashboard as a backlog |
| Footprint | Runtime + engine + several ports | One static binary, one SQLite file, one port (or stdio) |
| Tool surface | Dozens of tools, thousands of tokens per session | 7 tools, ~2.8k tokens per session |
Use a memory tool so your agent remembers what it tried last week. Use briefd so every agent on the team applies the same rules — and so someone notices when a rule falls behind the code.
propose_update opens a reviewable branch/PR; what briefd serves changes only when a human merges.multilingual-e5-small, 100+ languages) computed by a pure-Go encoder, fused with reciprocal rank fusion. No Postgres, no vector database, no ONNX runtime, no CGO.max_tokens and never exceeds it.Try it in 30 seconds — no repository needed:
briefd demo # serves the built-in sample knowledge base on http://127.0.0.1:7788
Then open the dashboard, or point an agent at it: claude mcp add --transport http briefd http://127.0.0.1:7788/mcp. The first run downloads the embedding model (about 470 MB); briefd demo --embeddings none skips it.
With your own knowledge:
# 1. build (Go >= 1.26) or grab a binary from the releases page
git clone https://github.com/ismailperim/briefd && cd briefd && make build
./bin/briefd serve --source testdata/knowledge --db /tmp/briefd.db --token dev-token
claude mcp add --transport http briefd http://localhost:7788/mcp \ --header "Authorization: Bearer dev-token"
Open http://localhost:7788/ for the dashboard, then ask Claude Code something the sample corpus knows — *"what's our retry policy for acquirer calls?"* or *"ters ibraz nedir?"* — and watch search_context / compile_bundle show up in the request log.
Any MCP client that speaks streamable HTTP works. For a project-level .mcp.json:
{
"mcpServers": { "briefd": { "type": "http", "url": "http://localhost:7788/mcp", "headers": { "Authorization": "Bearer dev-token" } } } }
Let the agent install it. Hand your coding agent one instruction:
Retrieve and follow the instructions at: https://raw.githubusercontent.com/ismailperim/briefd/main/INSTALL_FOR_AGENTS.md
Teach the agent when to ask. Tools an agent does not call save nothing. The skills/briefd skill tells Claude Code (and any agent that reads SKILL.md) when to compile a bundle, how to treat a stale section and when to propose an update; the same guidance as a CLAUDE.md paragraph is in deploy/local/CLAUDE.md.
npx skills add ismailperim/briefd
Single-user, no server? briefd mcp speaks MCP over stdio — the same tools, the same index, no port and no token. Claude Desktop, Cursor's stdio config and MCP directory inspectors launch it directly:
{
"mcpServers": { "briefd": { "command": "briefd", "args": ["mcp", "--source", "/path/to/knowledge", "--db", "~/.briefd/knowledge.db"] } } }
Use serve when a team shares one instance (dashboard, metrics, webhook, REST); use mcp when the agent runs on the machine that holds the checkout.
| Tool | What it does |
|---|---|
compile_bundle(task_description, max_tokens?, scopes?, paths?) | One deduplicated context block within the budget, ordered domain → conventions → project, with a source line per section and a bundle_id. Deterministic and cached. |
search_context(query, max_tokens?, scopes?, top_k?, paths?) | Ranked sections that fit the budget, for inspection. paths (code paths being edited) pull the documents whose refs cover them to the top. |
get_document(doc_path, scopes?) | One document in full. |
list_scopes() | Scopes with document/section counts. |
propose_update(doc_path, change_description, new_content) | Creates branch briefd/proposal- (+ pull request when configured). Never touches the index. |
report_usage(bundle_id, useful_chunk_ids) | Optional feedback: which sections helped. An empty list marks the question as a knowledge gap. |
suggest_links(doc_path?, limit?) | Links the knowledge base is missing (a document names another without linking it) and broken links — for an agent tidying the knowledge base via propose_update. |
The same operations are available over REST (/api/search, POST /api/bundle, /api/docs/{path}, /api/scopes, POST /api/proposals, POST /api/usage, /api/gaps, /api/health, /api/stats) behind the same bearer token.
briefd expects a git repository (or directory) of Markdown with three kinds of folders (briefd init scaffolds it with example documents):
knowledge-repo/
├── domain/ # shared: terminology, business rules, ADRs ├── conventions/ # shared: coding standards, infra patterns └── projects/ ├── ledger-service/ # visible only when scope "projects/ledger-service" is requested └── merchant-portal/
Documents are split on ##/### headings into sections of roughly 200–800 tokens with stable ids, so a section can be quoted on its own. Optional front matter adds metadata:
---
title: Retry policy # defaults to the first H1 tags: [payments, resilience] refs: ["services/payment/**"] # code paths this doc governs
testdata/knowledge/ is a complete example (a fictional payments platform) and doubles as the evaluation corpus.
A knowledge repository can be an Obsidian vault. briefd reads [[wikilinks]] in the text and in front-matter properties such as related: (including [[note|alias]] and [[note#heading]]) and relative Markdown links, resolves them the way Obsidian does (by path, or by file name anywhere in the repository), and builds a link graph: the dashboard draws it, get_document returns each document's links and backlinks so an agent can follow them, and orphans (nothing links here) and broken links (the target does not exist) are listed as maintenance signals next to gaps and coverage. Folder scopes still apply — domain/, conventions/, projects/ / — so keep the vault's top level in that shape.
Nur der Anfang wird gezeigt; den Rest findest du im Repo