Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Zero model drift between AI agents. Session continuity for Claude, GPT, Gemini, and any LLM.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"contextkeeper": {
"command": "uvx",
"args": [
"contextkeeper"
]
}
}
}Run this in your terminal
claude mcp add contextkeeper -- uvx contextkeeperPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"contextkeeper": {
"command": "uvx",
"args": [
"contextkeeper"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"contextkeeper": {
"type": "stdio",
"command": "uvx",
"args": [
"contextkeeper"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account TheRealDataBoss, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.2.7) reached the registry 8 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
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.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Zero model drift between AI agents.
pip install contextkeeper
contextkeeper init
contextkeeper sync --agent claude contextkeeper bootstrap --clipboard
| Command | Description |
|---|---|
init | Scaffold project context — state vector, conventions, tasks |
sync | Scan repo and update state vector with current project state |
bootstrap | Generate paste-ready briefing for any AI agent |
status | Show tracked projects and their current state |
doctor | Validate context files for consistency and missing fields |
migrate | Run database schema migrations |
export | Export project context to JSON/Markdown |
diff | Show what changed since last sync |
serve | Start the REST API server (FastAPI + Uvicorn) |
sessions | List and manage agent sessions |
tasks | List and manage project tasks |
decisions | List and manage architectural decisions |
auth | Create and revoke API keys (ck_ prefix, SHA-256 stored) |
from contextkeeper import ContextKeeperClient
client = ContextKeeperClient()
session = client.create_session(agent="claude", project="myproject") client.end_session(session.id, summary="Implemented auth module")
client.create_task(project="myproject", title="Add rate limiting") client.create_decision(project="myproject", title="Use PostgreSQL", rationale="Need JSONB")
handoff = client.create_handoff(from_session=s1.id, to_agent="gpt-4")
10 tools — native Claude Code integration via Model Context Protocol.
Add to claude_desktop_config.json:
{
"mcpServers": { "contextkeeper": { "command": "python", "args": ["-m", "contextkeeper.mcp"] } } }
# File (default) — zero config
contextkeeper init
contextkeeper init --backend sqlite
contextkeeper init --backend postgres --db-url postgresql://user:pass@localhost/ck
14 endpoints + 3 auth endpoints. FastAPI with OpenAPI spec.
contextkeeper serve --port 8420
Auth header: Authorization: Bearer ck_your_api_key
Three modes for concurrent agent access:
MIT © TheRealDataBoss