fleet-memory/hindsight-docs/docs/developer/mcp-server.md
2025-12-11 12:54:36 +01:00

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---
sidebar_position: 5
---
# MCP Server
Hindsight includes a built-in [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server that allows AI assistants to store and retrieve memories directly.
## Access
The MCP server is **enabled by default** and mounted at `/mcp` on the API server. Each memory bank has its own MCP endpoint:
```
http://localhost:8888/mcp/{bank_id}/
```
For example, to connect to the memory bank `alice`:
```
http://localhost:8888/mcp/alice/
```
To disable the MCP server, set the environment variable:
```bash
export HINDSIGHT_API_MCP_ENABLED=false
```
## Per-Bank Endpoints
Unlike traditional MCP servers where tools require explicit identifiers, Hindsight uses **per-bank endpoints**. The `bank_id` is part of the URL path, so tools don't need to specify which bank to use—it's implicit from the connection.
This design:
- **Simplifies tool usage** — no need to pass `bank_id` with every call
- **Enforces isolation** — each MCP connection is scoped to a single bank
- **Enables multi-tenant setups** — connect different users to different endpoints
---
## Available Tools
### retain
Store information to long-term memory.
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `content` | string | Yes | The fact or memory to store |
| `context` | string | No | Category for the memory (default: `general`) |
**Example:**
```json
{
"name": "retain",
"arguments": {
"content": "User prefers Python over JavaScript for backend development",
"context": "programming_preferences"
}
}
```
**When to use:**
- User shares personal facts, preferences, or interests
- Important events or milestones are mentioned
- Decisions, opinions, or goals are stated
- Work context or project details are discussed
---
### recall
Search memories to provide personalized responses.
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `query` | string | Yes | Natural language search query |
| `max_results` | integer | No | Maximum results to return (default: 10) |
**Example:**
```json
{
"name": "recall",
"arguments": {
"query": "What are the user's programming language preferences?"
}
}
```
**Response:**
```json
{
"results": [
{
"id": "fact_abc123",
"text": "User prefers Python over JavaScript for backend development",
"type": "world",
"context": "programming_preferences",
"event_date": null
}
]
}
```
**When to use:**
- Start of conversation to recall relevant context
- Before making recommendations
- When user asks about something they may have mentioned before
- To provide continuity across conversations
---
## Integration with AI Assistants
The MCP server can be used with any MCP-compatible AI assistant.
### Claude Desktop Configuration
To connect Claude Desktop to a specific memory bank:
```json
{
"mcpServers": {
"hindsight-alice": {
"url": "http://localhost:8888/mcp/alice/"
}
}
}
```
Each user can have their own MCP server configuration pointing to their personal memory bank.