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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
Scan website legal docs for missing or stale compliance clauses. Rule-based, no LLM.
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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.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"clausekeeper": {
"command": "uvx",
"args": [
"clausekeeper-mcp"
]
}
}
}Run this in your terminal
claude mcp add clausekeeper -- uvx clausekeeper-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"clausekeeper": {
"command": "uvx",
"args": [
"clausekeeper-mcp"
]
}
}
}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": {
"clausekeeper": {
"type": "stdio",
"command": "uvx",
"args": [
"clausekeeper-mcp"
]
}
}
}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.
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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 6, 2026
The registry name was verified with the GitHub account mityda, 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.
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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 (0.1.1) reached the registry 5 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.
mcp-name: io.github.mityda/clausekeeper
clausekeeper-mcp exposes ClauseKeeper's deterministic compliance scanner as Model Context Protocol (MCP) tools for Claude Desktop, Cursor, and other MCP hosts.
It is a thin wrapper around a vendored copy of the real ClauseKeeper scanner in clausekeeper_core/scanner.py and rule library in clausekeeper_core/clause_rules.py:
mcp SDKscan_policy_text(text: str) — scans pasted policy/legal text with the vendored ClauseKeeper scanner and returns the score, grade, counts, categories, and missing/stale clause checklist.scan_policy_url(url: str) — fetches a URL, strips HTML with ClauseKeeper's html_to_text, then scans the visible text.list_clause_rules() — returns the vendored clause rules and categories.From the main ClauseKeeper repository:
cd mcp
uv run clausekeeper-mcp
uv run creates/uses the local project environment and installs the mcp SDK dependency automatically. Because this is a stdio MCP server, uv run clausekeeper-mcp waits for an MCP client on stdin/stdout.
You can also install it into an explicit virtual environment:
cd mcp
uv venv uv pip install --python .venv/bin/python -e . .venv/bin/clausekeeper-mcp
Or run it directly:
cd /path/to/clausekeeper/mcp
uv run python server.py
Use an absolute path to this mcp directory.
Add this to your Claude Desktop MCP configuration file:
{
"mcpServers": { "clausekeeper": { "command": "uv", "args": [ "--directory", "/absolute/path/to/clausekeeper/mcp", "run", "clausekeeper-mcp" ] } } }
Use the same server definition in your MCP settings:
{
"mcpServers": { "clausekeeper": { "command": "uv", "args": [ "--directory", "/absolute/path/to/clausekeeper/mcp", "run", "clausekeeper-mcp" ] } } }
If your host does not support uv --directory, use the installed console script from a virtual environment instead:
{
"mcpServers": { "clausekeeper": { "command": "/absolute/path/to/clausekeeper/mcp/.venv/bin/clausekeeper-mcp", "args": [] } } }
The clausekeeper_core/ package is vendored from the main app's app/scanner.py and app/clause_rules.py so the MCP package is self-contained for PyPI/registry installs. When the scanner or clause rules change in app/, update the matching vendored files here and re-run the MCP self-containment and parity checks.
No server.json is included here because the current OSS MCP Community Registry / GitHub MCP Registry metadata format should be confirmed against the registry documentation at publication time. When publishing, add the registry-required metadata file with the package name, description, license, repository URL, runtime command, and tool list.
See the main ClauseKeeper project at ../README.md.