ContextLib MCP Server
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
ContextLib
A project library that outlives every agent session.

Real screenshot of the sample library (an invented project).
Each project's knowledge — decisions, requirements, facts, lessons, glossary, sources and returned work — is stored as plain Markdown files with a small front-matter block, in one folder per project. The folders can sit on an external SSD. A person can understand a project from Finder alone. Agents read and write the same files through a CLI (ctxlib) and an MCP server (context_* tools). Any database is a search index rebuilt from the files, never the source of truth.
It is the open core of the context plugin of AgentBrain.
The Python package is agentbrain_contextlib. The CLI is ctxlib. Python 3.9+, standard library only. Git is optional.
Why
Agent sessions end. Chat logs drift. A store that only a model can parse is a dead end the first time you open Finder on an airplane.
ContextLib keeps the durable layer as files you can read, diff, copy, and take to another Mac. The search index is disposable. The Markdown is the product.
Related MCP server: Knowledge MCP Server
60-second quickstart
pip install "git+https://github.com/willykeenan/agentbrain-contextlib"
ctxlib init ~/ContextLib --project lighthouse-app \
--name "Lighthouse App" \
--purpose "Harbor dashboard for lamp status, fog signals, and traffic"
ctxlib add lighthouse-app decision "Use keeper logs as lamp status" \
--body "**Decision:** Lamp status comes from keeper logs, not AIS." \
--author mara \
--tag lamp --tag keeper-log
ctxlib brief lighthouse-app
ctxlib doctor lighthouse-app --ten-minuteThe library path is --library PATH, else env CONTEXTLIB_ROOT, else ~/ContextLib.
A finished sample you can open in Finder without installing anything lives at examples/sample-library/. Start at that README, then the project BRIEF, then decisions/INDEX.md.
Full walkthrough: docs/QUICKSTART.md.
CLI (ctxlib)
ctxlib [--library PATH] COMMANDCommand | What it does |
| Create a library (and optionally the first project) |
| Add a project folder |
| List projects |
| Write a record ( |
| Print one record, with evidence state and supersession chain |
| Search the rebuildable index |
| Print the always-loaded summary (≤ 8192 bytes) |
| Mark old superseded, move the file, keep the body hash |
| Confirm or retire a record |
| List proposed records |
| Move inbox → current |
| Move inbox → rejected |
| Records whose |
| Rewrite BRIEF, INDEX, GLOSSARY, TIMELINE, README |
| Rebuild the SQLite search index from files |
| Turn a result file into a |
| Markdown file → record |
| Zip a project |
| Import a zip |
| Plain-English health check |
|
|
| Stdio MCP server; the identity is fixed for the process |
Types: decision, requirement, fact, lesson, glossary, source, return, brief-note.
MCP (context_* tools)
ctxlib mcp --identity ID is a stdio JSON-RPC server. Protocol versions: 2024-11-05, 2025-03-26, 2025-06-18.
Tools: context_brief, context_search, context_get, context_record, context_supersede, context_review_due, context_review, context_capture, context_export, context_import, context_status.
The identity is fixed at start. Tools cannot write as another identity. Errors come back as isError results.
Claude Code
{
"mcpServers": {
"contextlib": {
"command": "ctxlib",
"args": ["mcp", "--identity", "claude:project"],
"env": { "CONTEXTLIB_ROOT": "/Volumes/SSD/ContextLib" }
}
}
}Codex
{
"mcpServers": {
"contextlib": {
"command": "ctxlib",
"args": ["mcp", "--identity", "codex:project"],
"env": { "CONTEXTLIB_ROOT": "/Volumes/SSD/ContextLib" }
}
}
}Cursor
In .cursor/mcp.json (project) or ~/.cursor/mcp.json (user):
{
"mcpServers": {
"contextlib": {
"command": "ctxlib",
"args": ["mcp", "--identity", "cursor:project"],
"env": { "CONTEXTLIB_ROOT": "/Volumes/SSD/ContextLib" }
}
}
}Details: docs/MCP.md.
Record format
A record is UTF-8 Markdown. It starts with a YAML-like front-matter block (scalars, quoted strings, lists of scalars, lists of flat maps) and a Markdown body. The body hash is stored in the front-matter; bodies are not rewritten.
---
id: dec-20260926-7f3a
type: decision
title: Use plain files as the source of truth
status: current
project: lighthouse-app
scope: {lane: workstream, team: owner}
created: 2026-09-26T14:03:00Z
author: mara
approved_by: mara — "files first, database is only an index"
evidence:
- {ref: "project:BRIEF.md"}
- {ref: "url:https://example.com/x"}
supersedes: []
superseded_by: null
review_by: 2027-03-25
tags: [storage, library]
sensitivity: normal
body_sha256: "…"
---
**Decision:** …
**Why:** …
**Consequences:** …
**How to verify:** …Evidence refs are project:<relative path>, ssd:<relative path>, room:<name>#<seq>, url:<https url>, or note:<text>. Absolute home paths and secrets are refused at write time.
Ids: <prefix>-<YYYYMMDD>-<4 hex> with prefixes dec, req, fact, les, glo, src, ret, note.
Files: <YYYY-MM-DD>_<title-slug>_<id-suffix>.md. Superseded records move to superseded/ with the body hash still valid.
Library layout
<library root>/
├── README.md how to read this in 10 minutes
├── INDEX.md one line per project
├── library.json {"format": "contextlib/1", "library_id", "created"}
└── projects/<slug>/
├── README.md BRIEF.md GLOSSARY.md TIMELINE.md project.json
├── decisions/ requirements/ facts/ lessons/ glossary/ sources/ returns/
│ ├── INDEX.md
│ ├── <YYYY-MM-DD>_<title-slug>_<id-suffix>.md
│ └── superseded/
├── inbox/ proposed records
├── exports/
└── .contextlib/ ledger + rebuildable index.sqliteKeeping the library on an SSD, using it unplugged, and moving it between Macs: docs/SSD.md.
Develop
PYTHONPATH=src python3 -m unittest discover -s tests
python3 tools/check.py packagingPython 3.9+, standard library only. See CONTRIBUTING.md and CHANGELOG.md.
Apache-2.0, copyright KE Studios. SECURITY.md for reports.
ContextLib is the open library layer of AgentBrain (agentrooms.io).
Run with Docker
The image is published at ghcr.io/willykeenan/agentbrain-contextlib for Apple silicon and Intel. Mount your library at /library:
claude mcp add contextlib -- docker run -i --rm --user "$(id -u):$(id -g)" -v ~/ContextLib:/library ghcr.io/willykeenan/agentbrain-contextlib mcp --identity youThis server cannot be deployed
Maintenance
Related MCP Connectors
Project memory, documentation and controlled secret access for AI coding agents.
Shared project context for AI agents and teams: docs, tasks, and messages that stay current.
Shared, versioned context that humans and AI agents can publish, review, annotate, and continue.
Personal context for every AI: search, read, and write back to your private Markdown library.
Related MCP Servers
- AlicenseNot gradedqualityAmaintenanceEnables MCP agents to maintain durable, evidence-aware project knowledge, retrieve precise excerpts on demand, and track decisions, conflicts, and revisions across sessions.1Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to search, read, create, and maintain a local-first knowledge base using hybrid retrieval and Markdown note management through the Model Context Protocol.11 npm1MIT
- AlicenseAqualityBmaintenanceEnables AI agents to save and read persistent, project-local markdown context files in a .opencontext/ directory, so durable project decisions and conventions survive across sessions.28MIT

never4ga-mcpofficial
AlicenseAqualityBmaintenanceEnables AI agents and MCP clients to start each session with a pre-assembled context pack of the project's Markdown notes, decisions, rules, Git and tracker state, and to write progress and decisions back as dated logs. Context is gathered locally by lookups and queries rather than model calls, so different tools like Claude Code, Codex, and Antigravity share the same memory without spending tokens on retrieval.151Apache 2.0