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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
AI Agent with Architectural Memory. Impact analysis (free), tests and code from the graph (pro).
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.
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Works in Claude on the web, desktop and mobile:
https://hokmah.dev/mcpRun this in your terminal
claude mcp add --transport http hokmah https://hokmah.dev/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"hokmah": {
"url": "https://hokmah.dev/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": {
"hokmah": {
"type": "http",
"url": "https://hokmah.dev/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.
ChatGPT connects only to servers on the internet:
https://hokmah.dev/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
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 davidangularme, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 7 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
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.
AI Agent with Architectural Memory — MCP Server
Gives any AI coding agent persistent understanding of codebases via TransitionGraph, IdeaGraph, and WorldModel. Analyze impact, generate tests, write code — all from the graph.
Add to your editor's MCP config (Cursor, Claude Code, VS Code, Windsurf, Cline, JetBrains):
{
"mcpServers": { "hokmah": { "type": "streamable-http", "url": "https://hokmah.dev/mcp" } } }
Then ask your agent: *"analyze the impact of refactoring the auth module in github.com/owner/repo"*
| Tool | Tier | Description |
|---|---|---|
hokmah_analyze | FREE | Impact analysis, risk score, affected files, architectural invariants |
hokmah_connect_project | FREE | Connect a GitHub repo, build the architectural graph |
hokmah_connect_mcp | FREE | Connect an external MCP server for orchestration |
hokmah_generate_tests | PRO | Test generation from the graph (40x fewer tokens) |
hokmah_generate_code | PRO | Code generation with architectural memory |
Hokmah builds a persistent architectural graph from your codebase:
When you ask "what's the impact of changing X?", Hokmah traverses the graph instead of sending your entire codebase to an LLM. That's why analyze is free (zero LLM tokens) and generate uses 40x fewer tokens.
hokmah_analyze + hokmah_connect_project + hokmah_connect_mcp (unlimited)hokmah_generate_tests + hokmah_generate_code (BYOK — bring your own LLM key)Get a Pro key at hokmah.dev.
~/Library/Application Support/Claude/claude_desktop_config.jsonclaude mcp add hokmah --transport streamable-http --url https://hokmah.dev/mcp.vscode/mcp.json in project root~/.windsurf/mcp.jsonThe hosted server at https://hokmah.dev/mcp is the recommended way to use Hokmah. To run the server yourself against your own Hokmah backend:
pip install -r requirements.txt
cp pro_keys.example.json pro_keys.json # edit with your real PRO keys HOKMAH_API_BASE=http://localhost:8000 python mcp_server.py
Environment variables:
HOKMAH_API_BASE — upstream Hokmah API (default http://localhost:8000)HOKMAH_MCP_PORT — port to listen on (default 8001)HOKMAH_PRO_KEYS — path to the PRO keys JSON file (default /home/vpm/mcp-server/pro_keys.json)A reference systemd unit is provided in hokmah-mcp.service.
Catalyst AI Research · Haifa, Israel
MIT