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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
Cloud-persistent, semantic-search memory MCP — drop-in for server-memory, backed by ZeroDB.
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": {
"ainative-memory": {
"command": "npx",
"args": [
"-y",
"ainative-memory-mcp"
]
}
}
}Run this in your terminal
claude mcp add ainative-memory -- npx -y ainative-memory-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ainative-memory": {
"command": "npx",
"args": [
"-y",
"ainative-memory-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": {
"ainative-memory": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"ainative-memory-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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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 AINative-Studio, 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 (1.0.1) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js 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.
Enhanced MCP knowledge graph memory server with cloud persistence and semantic search. Drop-in replacement for @modelcontextprotocol/server-memory.
| Feature | server-memory | ainative-memory-mcp |
|---|---|---|
| Storage | Local JSONL file | ZeroDB cloud |
| Persistence | Lost on machine wipe | Survives forever |
| Cross-device | No | Yes (same API key = same graph) |
| Semantic search | No (text match only) | Yes (vector similarity) |
| Setup | Manual file path | Auto-provisions on first run |
| Sharing | Copy files around | Share API key |
{
"mcpServers": { "memory": { "command": "npx", "args": ["-y", "ainative-memory-mcp"], "env": { "ZERODB_API_KEY": "ak_your_key" } } } }
No API key? Just omit it — a free ZeroDB instance is auto-provisioned on first run.
Same config in your .mcp.json:
{
"mcpServers": { "memory": { "command": "npx", "args": ["-y", "ainative-memory-mcp"], "env": { "ZERODB_API_KEY": "ak_your_key" } } } }
npx zerodb-cli init
Or sign up at ainative.studio.
All 9 original server-memory tools plus semantic search:
| Tool | Description |
|---|---|
create_entities | Create new entities with name, type, and observations |
create_relations | Create directed relations between entities |
add_observations | Add observations to existing entities |
delete_entities | Delete entities and their cascading relations |
delete_observations | Remove specific observations from entities |
delete_relations | Delete specific relations |
read_graph | Read the entire knowledge graph |
search_nodes | Search by text match (name, type, observations) |
open_nodes | Fetch specific entities by name with their relations |
| Tool | Description |
|---|---|
search_nodes_semantic | Vector similarity search — find entities by meaning, not just exact text |
The original search_nodes only finds exact text matches. search_nodes_semantic understands meaning:
search_nodes("ML frameworks") -> might find nothing
search_nodes_semantic("ML frameworks") -> finds "PyTorch", "TensorFlow", "JAX"
| Variable | Required | Description |
|---|---|---|
ZERODB_API_KEY | No* | ZeroDB API key (auto-provisions if missing) |
ZERODB_PROJECT_ID | No | ZeroDB project ID |
ZERODB_API_URL | No | API URL (default: https://api.ainative.studio) |
*If no credentials are provided, a free instance is automatically provisioned on first run.
On first run without credentials:
.mcp.json and .env in your projectInstead of writing to a local memory.jsonl file, this server:
kg_entities)kg_relations)@modelcontextprotocol/server-memory with ainative-memory-mcp in your MCP configZERODB_API_KEY to your env (or let it auto-provision)MIT
This package is part of the AINative ecosystem — the AI-native developer platform.
| Feature | ZeroDB | Others |
|---|---|---|
| Vector search | Built-in, free embeddings | Separate service (Pinecone, Qdrant) |
| Agent memory | Cognitive memory with decay + reflection | DIY or Mem0 ($$$) |
| File storage | S3-compatible, included | Separate S3 bucket |
| NoSQL tables | Instant, schema-free | MongoDB Atlas, DynamoDB |
| PostgreSQL | Managed, pgvector pre-installed | Neon, Supabase ($$$) |
| Serverless functions | DB-event triggered | Firebase/Supabase Edge |
| Pricing | Free tier, no credit card | Pay-per-query from day 1 |
npx zerodb-cli init # Auto-configures your IDE
Or sign up at [ainative.studio](https://ainative.studio) — free tier, no credit card required.
No account needed to start. On first run, this package automatically:
.env, .mcp.json)Your auto-provisioned instance is free for 72 hours. To keep your data permanently, visit the claim URL printed in your terminal.
If a coding agent (Claude Code, Cursor, Windsurf) installs this package:
.claude/CLAUDE.md instructs agents to surface the claim link to you.env or ~/.ainative/config.json for your project ID if you miss it