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Briefd

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository

Git-backed team knowledge compiled into token-budgeted context bundles for coding agents

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for briefd, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Documentation Overview

briefd logo

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.

CI Security Release Go version License Container MCP Registry Glama score


Today: CLAUDE.md is re-sent on every turn. With briefd: one compile_bundle call returns ~1,800 tokens. Result: 86% fewer knowledge tokens per task.
β–Ά Watch the 90-second explainer Β· How it works Β· 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 β€” "what do I need to know for this task?" β€” with a compiled, deduplicated bundle that never exceeds the token budget you set.

Why

Bar chart: knowledge tokens per task. Everything in CLAUDE.md 12,869 tokens, answer present 100%. Curated CLAUDE.md 4,946 tokens, 43%. briefd compile_bundle at 2000 max tokens: 1,800 tokens, 96%. At 1000: 889 tokens, 96%.

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 β€” a hand-curated CLAUDE.md with just conventions and the glossary β€” costs 2.8Γ— 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 β€” 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.

Not another agent memory

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 memorybriefd
Source of truthA database the agent writes toMarkdown in a git repository
Who writesThe agent, automaticallyPeople; agents open pull requests
ScopeOne agent / one userThe whole team, every project in the domain
ReviewNoneEvery change has a diff, a reviewer and a name
StalenessUnknownDates on every section; drift against the code it governs
What it can't answerSilently absentListed on the dashboard as a backlog
FootprintRuntime + engine + several portsOne static binary, one SQLite file, one port (or stdio)
Tool surfaceDozens of tools, thousands of tokens per session7 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 β€” and so someone notices when a rule falls behind the code.

How it works

How briefd works. Ingest: knowledge repo β†’ chunker β†’ SQLite β†’ embeddings in pure Go. Serve: coding agent β†’ MCP/REST β†’ hybrid retrieval β†’ budget packer β†’ MCP/REST β†’ agents
  • Git is the source of truth. The index is a disposable cache rebuilt from a clone.
  • Agents never write to the index. propose_update opens a reviewable branch/PR; what briefd serves changes only when a human merges.
  • Hybrid retrieval, no external services. SQLite FTS5 (BM25) + multilingual embeddings (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.
  • Hard token budgets. Every API that returns context takes max_tokens and never exceeds it.

Quickstart

Try it in 30 seconds β€” no repository needed:

sh
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:

sh
# 1. build (Go >= 1.26) or grab a binary from the releases page
git clone https://github.com/ismailperim/briefd && cd briefd && make build

# 2. serve the sample knowledge repo (downloads the 470 MB multilingual embedding model once)
./bin/briefd serve --source testdata/knowledge --db /tmp/briefd.db --token dev-token

# 3. connect Claude Code
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 β€” "what's our retry policy for acquirer calls?" or "ters ibraz nedir?" β€” 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:

config.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.

Terminal
npx skills add ismailperim/briefd

Single-user, no server? briefd mcp speaks MCP over stdio β€” the same tools, the same index, no port and no token. Claude Desktop, Cursor's stdio config and MCP directory inspectors launch it directly:

config.json
{
  "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.

Tools

ToolWhat it does
compile_bundle(task_description, max_tokens?, scopes?, paths?)One deduplicated context block within the budget, ordered domain β†’ conventions β†’ 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-<id> (+ 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 β€” for an agent tidying the knowledge base via propose_update.

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Briefd

We don't have a confirmed install command for briefd yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/ismailperim/briefd) for the current steps.

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
More technical detailsExpand β–Ύ
Last updatedSep 28, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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