Ainative Zerodb Memory MCP

ZeroDB agent-memory MCP — 18 tools: memory + write-back to Slack, Gmail, Calendar, GitHub.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Remote HTTP

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "ainative-zerodb-memory-mcp": {
      "url": "https://api.ainative.studio"
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (4)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Ainative Zerodb Memory MCP.

narrative

Callable MCP tool function

bullet

Callable MCP tool function

structured

Callable MCP tool function

agent_id

Callable MCP tool function

Documentation Overview

ZeroDB Agent Memory MCP Server

Persistent Memory for AI Agents

Optimized MCP server providing 14 tools for agent memory management, context synthesis, auto-context middleware, and write-back actions to external services.

Why This MCP?

Before: Monolithic server with 77 tools consuming 10,400+ tokens After: Focused server with 14 tools consuming ~1,400 tokens Result: 87% reduction in context footprint, faster agent decisions, better accuracy

Key Features

Smart Context Management

Automatic token limiting - Never exceed LLM context windows
Intelligent pruning - Keep important and recent memories
Memory decay - Old memories naturally fade over time
Importance scoring - Automatically rank memory significance

Semantic Memory

Vector embeddings - BAAI BGE models (384, 768, 1024 dimensions)
Semantic search - Find by meaning, not just keywords
Cross-session memory - Remember across conversations
Auto-embedding - No manual embedding required

Universal Compatibility

ZeroLocal - localhost:8000 (fast, free, private)
ZeroDB Cloud - api.ainative.studio (scalable, managed)
Auto-detection - Automatically finds available endpoint

Installation

bash

# Clone repository
git clone https://github.com/ainative/zerodb-memory-mcp.git
cd zerodb-memory-mcp

# Install dependencies
npm install

# Configure environment
cp .env.example .env
# Edit .env with your credentials

# Test locally
npm start

Configuration

Credentials

bash

# Recommended: API key auth (no login needed)
ZERODB_API_KEY=sk_xxx
ZERODB_API_URL=https://api.ainative.studio
ZERODB_PROJECT_ID=your-project-id

# OR username/password auth:
ZERODB_USERNAME=your@email.com
ZERODB_PASSWORD=your-password
ZERODB_API_URL=https://api.ainative.studio
ZERODB_PROJECT_ID=your-project-id

Tip: API key authentication (ZERODB_API_KEY) is preferred over username/password. It avoids token expiry issues and is not affected by shell environment variable conflicts.

Option 1: Environment Variables

server.ts

export ZERODB_API_URL="http://localhost:8000"  # or cloud URL
export ZERODB_API_KEY="sk_your-api-key"        # recommended
export ZERODB_PROJECT_ID="your-project-id"

Option 2: Claude Desktop Config

config.json

{
  "mcpServers": {
    "zerodb-memory": {
      "command": "node",
      "args": ["/path/to/zerodb-memory-mcp/index.js"],
      "env": {
        "ZERODB_API_URL": "http://localhost:8000",
        "ZERODB_USERNAME": "your-username",
        "ZERODB_PASSWORD": "your-password",
        "ZERODB_PROJECT_ID": "your-project-id"
      }
    }
  }
}

Option 3: Use Both Local and Cloud

config.json

{
  "mcpServers": {
    "zerodb-local": {
      "command": "node",
      "args": ["/path/to/zerodb-memory-mcp/index.js"],
      "env": {
        "ZERODB_API_URL": "http://localhost:8000",
        "ZERODB_USERNAME": "your-local-username",
        "ZERODB_PASSWORD": "your-local-password",
        "ZERODB_PROJECT_ID": "your-local-project-id"
      }
    },
    "zerodb-cloud": {
      "command": "node",
      "args": ["/path/to/zerodb-memory-mcp/index.js"],
      "env": {
        "ZERODB_API_URL": "https://api.ainative.studio",
        "ZERODB_USERNAME": "your-cloud-username",
        "ZERODB_PASSWORD": "your-cloud-password",
        "ZERODB_PROJECT_ID": "your-cloud-project-id"
      }
    }
  }
}

Tools

1. `zerodb_store_memory`

Store conversation context with automatic importance scoring and embedding.

Input:

config.json

{
  "content": "User prefers technical explanations over simplified ones",
  "role": "system",
  "session_id": "chat-123",
  "tags": ["preference", "important"],
  "user_id": "user-456"
}

Output:

config.json

{
  "success": true,
  "memory_id": "mem_abc123",
  "importance": 0.85,
  "message": "Memory stored successfully"
}

Features:

Auto-calculates importance (0.0 to 1.0)
Generates embeddings automatically
Supports tags for categorization
Links to user for cross-session memory

2. `zerodb_search_memory`

Search memory semantically using natural language.

Input:

config.json

{
  "query": "What are the user's dietary restrictions?",
  "limit": 10,
  "session_id": "chat-123",
  "scope": "agent",
  "min_importance": 0.5
}

Output:

config.json

{
  "results": [
    {
      "content": "User is allergic to peanuts",
      "role": "user",
      "importance": 0.95,
      "timestamp": "2026-02-28T10:30:00Z",
      "tags": ["health", "critical"],
      "similarity": 0.89,
      "session_id": "chat-123"
    }
  ],
  "count": 1,
  "scope": "agent"
}

Features:

Semantic search (meaning, not keywords)
Cross-session search with scope: "agent"
Filter by importance, tags, user
Returns similarity scores

3. `zerodb_get_context`

Get full conversation context with smart pruning.

Input:

config.json

{
  "session_id": "chat-123",
  "max_tokens": 8192,
  "include_stats": true
}

Output:

config.json

{
  "memories": [
    {
      "content": "Hello, how can I help?",
      "role": "assistant",
      "importance": 0.6,
      "timestamp": "2026-02-28T10:00:00Z",
      "tags": []
    }
  ],
  "total_tokens": 2048,
  "stats": {
    "pruned": true,
    "original_count": 50,
    "returned_count": 25,
    "token_limit": 8192
  }
}

Features:

Auto-prunes to fit token limit
Keeps important and recent memories
Applies memory decay if enabled
Returns pruning statistics

4. `zerodb_embed_text`

Generate vector embeddings for text.

Input:

config.json

{
  "text": "The quick brown fox jumps over the lazy dog",
  "model": "BAAI/bge-small-en-v1.5",
  "normalize": true
}

Output:

config.json

{
  "embedding": [0.123, -0.456, 0.789, ...],
  "model": "BAAI/bge-small-en-v1.5",
  "dimensions": 384,
  "normalized": true
}

Features:

Three model sizes (384d, 768d, 1024d)
Normalized vectors
Fast local embedding (if using ZeroLocal)

5. `zerodb_semantic_search`

Search by semantic similarity without text query.

Input:

config.json

{
  "text": "food preferences",
  "limit": 10,
  "session_id": "chat-123",
  "min_similarity": 0.7
}

Output:

config.json

{
  "results": [
    {
      "content": "User prefers vegetarian meals",
      "similarity": 0.85,
      "metadata": {
        "role": "user",
        "tags": ["preference"]
      }
    }
  ],
  "count": 1,
  "search_vector_dims": 384
}

Features:

Direct vector similarity search
Can provide text or pre-computed vector
Filter by similarity threshold
Session-scoped or global search

6. `zerodb_clear_session`

Clear all memories for a session.

Input:

config.json

{
  "session_id": "chat-123",
  "keep_important": true,
  "confirm": true
}

Output:

config.json

{
  "success": true,
  "deleted_count": 45,
  "kept_count": 5,
  "message": "Session cleared, important memories preserved"
}

Features:

Requires confirmation
Optional preservation of important memories
Returns deletion statistics

7. `zerodb_synthesize_context`

Retrieve and LLM-synthesize relevant memories into a coherent context string. Wraps POST /memory/v2/context. (Issue #2631)

Input:

config.json

{
  "query": "What did we decide about the pricing model?",
  "agent_id": "user-456",
  "synthesis_style": "narrative",
  "max_tokens": 1000,
  "top_k": 10
}

Output:

config.json

{
  "context": "In previous discussions, the team decided to use a usage-based pricing model...",
  "synthesis_style": "narrative",
  "sources_count": 5,
  "confidence": 0.87,
  "token_count": 312,
  "agent_id": "user-456"
}

Features:

Three synthesis styles: narrative, bullet, structured
Powered by Claude Haiku for fast, coherent summaries
Graceful fallback if synthesis fails (concatenates top snippets)
Scoped by agent_id for per-user memory isolation

8. `zerodb_configure_auto_context`

Enable auto-context middleware so that relevant memories are automatically prepended to every tool response for a given agent. (Issue #2678)

Input:

config.json

{
  "agent_id": "user-456",
  "enabled": true,
  "max_results": 10,
  "synthesis_style": "bullet",
  "auto_trace": false
}

Output:

config.json

{
  "success": true,
  "agent_id": "user-456",
  "config": {
    "enabled": true,
    "max_results": 10,
    "synthesis_style": "bullet",
    "auto_trace": false
  },
  "message": "Auto-context enabled for agent user-456"
}

Features:

Once enabled, every subsequent tool call for the agent_id automatically prepends _auto_context to the response
auto_trace: true stores each tool response as a new episodic memory for future recall
Config persisted via /remember — survives MCP server restarts
Skip list: config tools themselves are never auto-contexted

9. `zerodb_get_auto_context_config`

Retrieve the current auto-context configuration for an agent.

Input:

config.json

{
  "agent_id": "user-456"
}

Output:

config.json

{
  "agent_id": "user-456",
  "config": {
    "enabled": true,
    "max_results": 10,
    "synthesis_style": "bullet",
    "auto_trace": false
  }
}

Write-Back Action Tools

Five tools that write back to external services using OAuth tokens stored in ZeroDB sync connections. Connect accounts at /api/v1/public/memory/v2/connections.

Agent workflow: zerodb_recall → zerodb_synthesize_context → take action (send Slack, reply email, create event, etc.)

10. `zerodb_slack_send`

Send a Slack message using the user's stored OAuth token. (Issue #2645)

Input:

config.json

{
  "agent_id": "user-456",
  "channel": "C012AB3CD",
  "message": "Sprint planning scheduled for Monday 10am",
  "thread_ts": "1609459200.000100"
}

Output:

config.json

{
  "ts": "1609459201.000200",
  "channel": "C012AB3CD",
  "message": "Message sent successfully"
}

Notes: thread_ts is optional — omit to post a new message, include to reply in a thread.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Communication View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

1mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Ainative Zerodb Memory MCP

ainative-zerodb-memory-mcp is a hosted MCP server. Add it as a remote server in your client's config: "mcpServers": { "ainative-zerodb-memory-mcp": { "url": "https://api.ainative.studio" } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Ainative Zerodb Memory MCP AllMCPs Directory Badge

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/ainative-zerodb-memory-mcp?style=directory)](https://allmcps.com/mcp/ainative-zerodb-memory-mcp)

HTML Embed

<a href="https://allmcps.com/mcp/ainative-zerodb-memory-mcp"><img src="https://allmcps.com/api/badge/ainative-zerodb-memory-mcp?style=directory" alt="Ainative Zerodb Memory MCP on AllMCPs" /></a>

Technical Specs & Signals

CategoryCommunication

4/8 checks healthy over the last 46d

49Quality signal: Fair · 49/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools24/30

Adoption & activity3/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server →

Own this project?

This directory is pre-filled from public sources. Claim via GitHub README, site badge, or DNS TXT to unlock edit access and the Official badge — proof is checked automatically, then reviewed by our team.

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💬 Communication →Best MCP servers for Slack & Communication →Best GitHub MCP servers →Best Slack MCP servers →Best Gmail MCP servers →Alternatives to Ainative Zerodb Memory MCP →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

Ainative Zerodb Memory MCP

ZeroDB agent-memory MCP — 18 tools: memory + write-back to Slack, Gmail, Calendar, GitHub.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Remote HTTP

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "ainative-zerodb-memory-mcp": {
      "url": "https://api.ainative.studio"
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (4)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Ainative Zerodb Memory MCP.

narrative

Callable MCP tool function

bullet

Callable MCP tool function

structured

Callable MCP tool function

agent_id

Callable MCP tool function

Documentation Overview

ZeroDB Agent Memory MCP Server

Persistent Memory for AI Agents

Optimized MCP server providing 14 tools for agent memory management, context synthesis, auto-context middleware, and write-back actions to external services.

Why This MCP?

Key Features

Smart Context Management

Automatic token limiting - Never exceed LLM context windows
Intelligent pruning - Keep important and recent memories
Memory decay - Old memories naturally fade over time
Importance scoring - Automatically rank memory significance

Semantic Memory

Vector embeddings - BAAI BGE models (384, 768, 1024 dimensions)
Semantic search - Find by meaning, not just keywords
Cross-session memory - Remember across conversations
Auto-embedding - No manual embedding required

Universal Compatibility

ZeroLocal - localhost:8000 (fast, free, private)
ZeroDB Cloud - api.ainative.studio (scalable, managed)
Auto-detection - Automatically finds available endpoint

Installation

bash

# Clone repository
git clone https://github.com/ainative/zerodb-memory-mcp.git
cd zerodb-memory-mcp

# Install dependencies
npm install

# Configure environment
cp .env.example .env
# Edit .env with your credentials

# Test locally
npm start

Configuration

Credentials

bash

# Recommended: API key auth (no login needed)
ZERODB_API_KEY=sk_xxx
ZERODB_API_URL=https://api.ainative.studio
ZERODB_PROJECT_ID=your-project-id

# OR username/password auth:
ZERODB_USERNAME=your@email.com
ZERODB_PASSWORD=your-password
ZERODB_API_URL=https://api.ainative.studio
ZERODB_PROJECT_ID=your-project-id

Tip: API key authentication (ZERODB_API_KEY) is preferred over username/password. It avoids token expiry issues and is not affected by shell environment variable conflicts.

Option 1: Environment Variables

server.ts

export ZERODB_API_URL="http://localhost:8000"  # or cloud URL
export ZERODB_API_KEY="sk_your-api-key"        # recommended
export ZERODB_PROJECT_ID="your-project-id"

Option 2: Claude Desktop Config

config.json

{
  "mcpServers": {
    "zerodb-memory": {
      "command": "node",
      "args": ["/path/to/zerodb-memory-mcp/index.js"],
      "env": {
        "ZERODB_API_URL": "http://localhost:8000",
        "ZERODB_USERNAME": "your-username",
        "ZERODB_PASSWORD": "your-password",
        "ZERODB_PROJECT_ID": "your-project-id"
      }
    }
  }
}

Option 3: Use Both Local and Cloud

config.json

{
  "mcpServers": {
    "zerodb-local": {
      "command": "node",
      "args": ["/path/to/zerodb-memory-mcp/index.js"],
      "env": {
        "ZERODB_API_URL": "http://localhost:8000",
        "ZERODB_USERNAME": "your-local-username",
        "ZERODB_PASSWORD": "your-local-password",
        "ZERODB_PROJECT_ID": "your-local-project-id"
      }
    },
    "zerodb-cloud": {
      "command": "node",
      "args": ["/path/to/zerodb-memory-mcp/index.js"],
      "env": {
        "ZERODB_API_URL": "https://api.ainative.studio",
        "ZERODB_USERNAME": "your-cloud-username",
        "ZERODB_PASSWORD": "your-cloud-password",
        "ZERODB_PROJECT_ID": "your-cloud-project-id"
      }
    }
  }
}

Tools

1. `zerodb_store_memory`

Store conversation context with automatic importance scoring and embedding.

Input:

config.json

{
  "content": "User prefers technical explanations over simplified ones",
  "role": "system",
  "session_id": "chat-123",
  "tags": ["preference", "important"],
  "user_id": "user-456"
}

Output:

config.json

{
  "success": true,
  "memory_id": "mem_abc123",
  "importance": 0.85,
  "message": "Memory stored successfully"
}

Features:

Auto-calculates importance (0.0 to 1.0)
Generates embeddings automatically
Supports tags for categorization
Links to user for cross-session memory

2. `zerodb_search_memory`

Search memory semantically using natural language.

Input:

config.json

{
  "query": "What are the user's dietary restrictions?",
  "limit": 10,
  "session_id": "chat-123",
  "scope": "agent",
  "min_importance": 0.5
}

Output:

config.json

{
  "results": [
    {
      "content": "User is allergic to peanuts",
      "role": "user",
      "importance": 0.95,
      "timestamp": "2026-02-28T10:30:00Z",
      "tags": ["health", "critical"],
      "similarity": 0.89,
      "session_id": "chat-123"
    }
  ],
  "count": 1,
  "scope": "agent"
}

Features:

Semantic search (meaning, not keywords)
Cross-session search with scope: "agent"
Filter by importance, tags, user
Returns similarity scores

3. `zerodb_get_context`

Get full conversation context with smart pruning.

Input:

config.json

{
  "session_id": "chat-123",
  "max_tokens": 8192,
  "include_stats": true
}

Output:

config.json

{
  "memories": [
    {
      "content": "Hello, how can I help?",
      "role": "assistant",
      "importance": 0.6,
      "timestamp": "2026-02-28T10:00:00Z",
      "tags": []
    }
  ],
  "total_tokens": 2048,
  "stats": {
    "pruned": true,
    "original_count": 50,
    "returned_count": 25,
    "token_limit": 8192
  }
}

Features:

Auto-prunes to fit token limit
Keeps important and recent memories
Applies memory decay if enabled
Returns pruning statistics

4. `zerodb_embed_text`

Generate vector embeddings for text.

Input:

config.json

{
  "text": "The quick brown fox jumps over the lazy dog",
  "model": "BAAI/bge-small-en-v1.5",
  "normalize": true
}

Output:

config.json

{
  "embedding": [0.123, -0.456, 0.789, ...],
  "model": "BAAI/bge-small-en-v1.5",
  "dimensions": 384,
  "normalized": true
}

Features:

Three model sizes (384d, 768d, 1024d)
Normalized vectors
Fast local embedding (if using ZeroLocal)

5. `zerodb_semantic_search`

Search by semantic similarity without text query.

Input:

config.json

{
  "text": "food preferences",
  "limit": 10,
  "session_id": "chat-123",
  "min_similarity": 0.7
}

Output:

config.json

{
  "results": [
    {
      "content": "User prefers vegetarian meals",
      "similarity": 0.85,
      "metadata": {
        "role": "user",
        "tags": ["preference"]
      }
    }
  ],
  "count": 1,
  "search_vector_dims": 384
}

Features:

Direct vector similarity search
Can provide text or pre-computed vector
Filter by similarity threshold
Session-scoped or global search

6. `zerodb_clear_session`

Clear all memories for a session.

Input:

config.json

{
  "session_id": "chat-123",
  "keep_important": true,
  "confirm": true
}

Output:

config.json

{
  "success": true,
  "deleted_count": 45,
  "kept_count": 5,
  "message": "Session cleared, important memories preserved"
}

Features:

Requires confirmation
Optional preservation of important memories
Returns deletion statistics

7. `zerodb_synthesize_context`

Retrieve and LLM-synthesize relevant memories into a coherent context string. Wraps POST /memory/v2/context. (Issue #2631)

Input:

config.json

{
  "query": "What did we decide about the pricing model?",
  "agent_id": "user-456",
  "synthesis_style": "narrative",
  "max_tokens": 1000,
  "top_k": 10
}

Output:

config.json

{
  "context": "In previous discussions, the team decided to use a usage-based pricing model...",
  "synthesis_style": "narrative",
  "sources_count": 5,
  "confidence": 0.87,
  "token_count": 312,
  "agent_id": "user-456"
}

Features:

Three synthesis styles: narrative, bullet, structured
Powered by Claude Haiku for fast, coherent summaries
Graceful fallback if synthesis fails (concatenates top snippets)
Scoped by agent_id for per-user memory isolation

8. `zerodb_configure_auto_context`

Enable auto-context middleware so that relevant memories are automatically prepended to every tool response for a given agent. (Issue #2678)

Input:

config.json

{
  "agent_id": "user-456",
  "enabled": true,
  "max_results": 10,
  "synthesis_style": "bullet",
  "auto_trace": false
}

Output:

config.json

{
  "success": true,
  "agent_id": "user-456",
  "config": {
    "enabled": true,
    "max_results": 10,
    "synthesis_style": "bullet",
    "auto_trace": false
  },
  "message": "Auto-context enabled for agent user-456"
}

Features:

Once enabled, every subsequent tool call for the agent_id automatically prepends _auto_context to the response
auto_trace: true stores each tool response as a new episodic memory for future recall
Config persisted via /remember — survives MCP server restarts
Skip list: config tools themselves are never auto-contexted

9. `zerodb_get_auto_context_config`

Retrieve the current auto-context configuration for an agent.

Input:

config.json

{
  "agent_id": "user-456"
}

Output:

config.json

{
  "agent_id": "user-456",
  "config": {
    "enabled": true,
    "max_results": 10,
    "synthesis_style": "bullet",
    "auto_trace": false
  }
}

Write-Back Action Tools

Five tools that write back to external services using OAuth tokens stored in ZeroDB sync connections. Connect accounts at /api/v1/public/memory/v2/connections.

Agent workflow: zerodb_recall → zerodb_synthesize_context → take action (send Slack, reply email, create event, etc.)

10. `zerodb_slack_send`

Send a Slack message using the user's stored OAuth token. (Issue #2645)

Input:

config.json

{
  "agent_id": "user-456",
  "channel": "C012AB3CD",
  "message": "Sprint planning scheduled for Monday 10am",
  "thread_ts": "1609459200.000100"
}

Output:

config.json

{
  "ts": "1609459201.000200",
  "channel": "C012AB3CD",
  "message": "Message sent successfully"
}

Notes: thread_ts is optional — omit to post a new message, include to reply in a thread.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Communication View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

1mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Ainative Zerodb Memory MCP

ainative-zerodb-memory-mcp is a hosted MCP server. Add it as a remote server in your client's config: "mcpServers": { "ainative-zerodb-memory-mcp": { "url": "https://api.ainative.studio" } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/ainative-zerodb-memory-mcp?style=directory)](https://allmcps.com/mcp/ainative-zerodb-memory-mcp)

HTML Embed

<a href="https://allmcps.com/mcp/ainative-zerodb-memory-mcp"><img src="https://allmcps.com/api/badge/ainative-zerodb-memory-mcp?style=directory" alt="Ainative Zerodb Memory MCP on AllMCPs" /></a>

Technical Specs & Signals

CategoryCommunication

4/8 checks healthy over the last 46d

49Quality signal: Fair · 49/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools24/30

Adoption & activity3/15

Community engagement0/10

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Ainative Zerodb Memory MCP

Quick Install

Client Config & Setup

Documentation Overview

ZeroDB Agent Memory MCP Server

Why This MCP?

Key Features

Smart Context Management

Semantic Memory

Universal Compatibility

Installation

Configuration

Credentials

Option 1: Environment Variables

Option 2: Claude Desktop Config

Option 3: Use Both Local and Cloud

Tools

1. zerodb_store_memory

2. zerodb_search_memory

3. zerodb_get_context

4. zerodb_embed_text

5. zerodb_semantic_search

6. zerodb_clear_session

7. zerodb_synthesize_context

8. zerodb_configure_auto_context

9. zerodb_get_auto_context_config

Write-Back Action Tools

10. zerodb_slack_send

Related MCP Servers

Adoption & maintenance

Reviews

Frequently Asked Questions about Ainative Zerodb Memory MCP

AllMCPs Directory Badge

Technical Specs & Signals

Moxie Docs MCP

Own this project?

Share & Embed

Explore more

Ainative Zerodb Memory MCP

Quick Install

Client Config & Setup

Documentation Overview

ZeroDB Agent Memory MCP Server

Why This MCP?

Key Features

Smart Context Management

Semantic Memory

Universal Compatibility

Installation

Configuration

Credentials

Option 1: Environment Variables

Option 2: Claude Desktop Config

Option 3: Use Both Local and Cloud

Tools

1. zerodb_store_memory

2. zerodb_search_memory

3. zerodb_get_context

4. zerodb_embed_text

5. zerodb_semantic_search

6. zerodb_clear_session

7. zerodb_synthesize_context

8. zerodb_configure_auto_context

9. zerodb_get_auto_context_config

Write-Back Action Tools

10. zerodb_slack_send

Related MCP Servers

Adoption & maintenance

Reviews

Frequently Asked Questions about Ainative Zerodb Memory MCP

AllMCPs Directory Badge

Technical Specs & Signals

Moxie Docs MCP

Own this project?

Share & Embed

Explore more

1. `zerodb_store_memory`

2. `zerodb_search_memory`

3. `zerodb_get_context`

4. `zerodb_embed_text`

5. `zerodb_semantic_search`

6. `zerodb_clear_session`

7. `zerodb_synthesize_context`

8. `zerodb_configure_auto_context`

9. `zerodb_get_auto_context_config`

10. `zerodb_slack_send`

1. `zerodb_store_memory`

2. `zerodb_search_memory`

3. `zerodb_get_context`

4. `zerodb_embed_text`

5. `zerodb_semantic_search`

6. `zerodb_clear_session`

7. `zerodb_synthesize_context`

8. `zerodb_configure_auto_context`

9. `zerodb_get_auto_context_config`

10. `zerodb_slack_send`