Context7
Up-to-date docs for AI agents
Descripción del creador (original en inglés)
Git-backed team knowledge compiled into token-budgeted context bundles for coding agents
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
BRIEFD_SOURCE, BRIEFD_API_TOKEN, BRIEFD_GIT_TOKENLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"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"
}
}
}
}Ejecuta esto en tu terminal
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:0.6.1Completa los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"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"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"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"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub ismailperim, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: BRIEFD_SOURCE, BRIEFD_API_TOKEN, BRIEFD_GIT_TOKEN
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.6.1) llegó al registro hace 37 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Docker en tu computadora.
En la misma categoría: Context7, Codebase Memory, Exa
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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.
Solo se muestra el principio; lee el resto en el repo