HippoDid MCP Server

io.github.snowmanjyPublished by GitHub account snowmanjyv1.1.0Updated Oct 24, 2026

Persistent, structured cloud memory for AI agents. BYOK — bring your own AI key.

VerifiedSTDIODesktop onlyFiles & StorageKnowledge & Memory

Overview

AI-generated overview

Connects an AI assistant to HippoDid cloud memory so it can store, search and sync structured memories across sessions and clients.

What you can do
  • Create and list characters that scope memory namespaces
  • Add memories through a salience/dedup pipeline or write them directly, and search them with hybrid semantic plus keyword search
  • Sync local files to the cloud, register watched paths, force syncs and check sync status
  • Import documents to extract memories and export a character's memories as Markdown
  • Configure and test bring-your-own-key AI providers used for extraction
When to use it
Useful when you want an assistant's context to persist between sessions and across different MCP clients or AI providers, or when you want project files and documents turned into recallable structured memories.
Requirements
Runs locally as a Java JAR over stdio, so a Java runtime is needed (Java 21+ to build from source). Requires a HippoDid account and an API key in HIPPODID_API_KEY; HIPPODID_CHARACTER_ID and HIPPODID_BASE_URL are optional. Network access to the HippoDid API, and a separate OpenAI, Anthropic or Gemini key for BYOK extraction.
Before you install
The API key in HIPPODID_API_KEY is a credential and should be kept out of shared configs. Synced files, imported documents and memories are uploaded to HippoDid's cloud, and background watching can send file contents automatically. Some tools write, import or export data, and direct writes and document import are limited to paid tiers. BYOK provider keys are stored in the tenant configuration.

Installation

In SourceWeft

  1. Open HippoDid MCP Server in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

[HippoDid MCP Server — persistent cloud memory for AI agents]

HippoDid MCP Server
Persistent, portable memory for AI agents. Your AI forgets everything between sessions. HippoDid remembers.

HippoDid MCP Server

MCP (Model Context Protocol) server for HippoDid — connects Claude Code, Claude Desktop, ChatGPT, Gemini CLI, Codex CLI, Cursor, and any MCP-compatible client to persistent AI character memory.

What is HippoDid?

HippoDid is a cloud memory infrastructure for AI agents. It stores structured memories (preferences, decisions, skills, relationships) in a searchable database and retrieves them across sessions, tools, and AI providers. Write a memory in Claude Code, recall it in ChatGPT. Switch from Cursor to Gemini — your agent's memory travels with it.

Key features:

  • Cross-platform memory — same memories accessible from any MCP client or ChatGPT via OAuth
  • Structured extraction — raw text is automatically parsed into categorized facts with salience scores
  • Temporal decay — memories fade naturally by category (skills are evergreen, events fade in 14 days)
  • Character scoping — each agent/project gets its own memory namespace
  • BYOK AI — bring your own OpenAI, Anthropic, or Gemini key for extraction

Quick Start

1. Get an API Key

Sign up at hippodid.com and create an API key from your dashboard.

2. Download the JAR

Download the latest release from GitHub Releases.

3. Configure Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

json
{  "mcpServers": {    "hippodid": {      "command": "java",      "args": ["-jar", "/path/to/hippodid-mcp-server-1.1.0.jar"],      "env": {        "HIPPODID_API_KEY": "hd_key_your_key_here",        "HIPPODID_CHARACTER_ID": "your-character-uuid"      }    }  }}

4. Start Using

Ask Claude to remember things, search memories, sync files, and more.

MCP Tools

ToolDescription
create_characterCreate a new character to store memories for
list_charactersList all characters accessible to you
add_memoryAdd a memory via the AUDN pipeline (rule-based salience + dedup)
add_memory_directWrite a memory directly, bypassing AUDN pipeline (Starter+ tier)
search_memoriesHybrid semantic + keyword search across memories
sync_fileSync a local file to the HippoDid cloud
import_documentImport a document and extract memories (Starter+ tier)
list_synced_filesList files synced to the cloud for a character
get_sync_statusGet sync status summary for a character
export_characterExport all memories for a character as Markdown
add_watch_pathSync a file and register the path for background tracking
list_watch_pathsList all watched file paths in this session
force_syncForce an immediate sync of all watched paths
configure_aiConfigure tenant BYOK AI providers
test_ai_configTest connectivity of saved AI provider configuration

Environment Variables

VariableRequiredDefaultDescription
HIPPODID_API_KEYYes—Your HippoDid API key
HIPPODID_CHARACTER_IDNo—Default character UUID for background sync
HIPPODID_BASE_URLNohttps://api.hippodid.comAPI base URL
MCP_SYNC_INTERVALNo300Background sync interval in seconds
MCP_AUTO_CAPTURENofalseDisable background watcher (AI handles sync)
MCP_AUTO_RECALLNofalseDisable background hydration (AI handles download)
MCP_RECALL_CACHE_TTLNo120Search result cache TTL in seconds

Architecture

Claude Desktop → stdio (JSON-RPC) → McpServerRunner → HippoDidClient → HTTP → HippoDid REST API

The MCP server uses the hippodid-spring-boot-starter to communicate with the HippoDid REST API over HTTP. All authentication and tenant isolation is handled server-side via Bearer tokens.

Building from Source

Requires Java 21+ and Maven 3.8+.

bash
mvn clean package -DskipTestsjava -jar target/hippodid-mcp-server-1.1.0.jar

Versioning

The MCP server version matches the hippodid-spring-boot-starter version. Both must be at the same version for compatibility.

License

Apache License 2.0 — see LICENSE.

Source: README.md at commit aab1720

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.1.0LatestSep 16, 2026

Score

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  • Reached in the last 30 days25 pts

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  • Auth declared10 pts

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  • Tools listed15 pts

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  • DescriptionRequired15 pts
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  • Documentation15 pts
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