About MCP Server for Zep Cloud
MCP Server for Zep Cloud connects AI agent applications to Zep Cloud memory and graph capabilities. It provides tools for managing conversation context, graph data, and project resources.
Key features
- 01Add messages to conversation threads
- 02Retrieve assembled user context
- 03Add and search knowledge graph data
- 04Manage users, threads, and graphs
- 05Inspect graph structure and data
- 06Configure context templates
Use cases
- 01Store conversation messages for later context
- 02Search graph facts, entities, and episodes
- 03Inspect relationships across ingested content
- 04Manage Zep users, graphs, and context templates
MCP support
The MCP server exposes Zep Cloud memory and administrative operations as tools. Tool groups can be selected with ZEP_TOOLSETS.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEzep-mcp
MCP server for the Zep Cloud API — a context engineering platform for AI agent memory. Built with FastMCP and the zep-cloud Python SDK.
📖 The story
I originally built this project back in early 2025 when I was just learning how to code. It worked! ...technically. The old version had a fallback client that returned fake success responses when the API was down 😅, wrapper scripts for every platform imaginable, and enough redundant code to make future-me cringe.
A year later, I've learned a thing or two. So I burned it all down and rewrote it.
- Before: 2 tangled client layers, 8 tools, fallback mode that lied to you, ~4,000 lines 💀
- After: 1 clean server entry point, 13 tools covering the full Zep Cloud API, ~770 lines
Keeping the old git history because it's kinda funny lmao
Use cases
I use this for my own content — ingesting video scripts and viewer comments into Zep's knowledge graph to understand what I've covered, what my audience cares about, and what I should make next.
Map your content knowledge graph — ingest your scripts and audience comments. Zep auto-extracts topics, entities (e.g. people, groups, ideas), and the relationships between them across everything you've published.

See what topics cluster together — explore how a specific entity connects to content pieces and topics. Blue nodes are your actual content; the surrounding topics show what themes appear across those videos and what commenters associate with that entity.

Find content gaps — query for entities with many topic and entity connections but no linked content nodes. Those are things your audience is already thinking and talking about that you haven't made a video on yet.

Setup
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
Copy .env.example to .env and fill in your Zep Cloud API key:
cp .env.example .env
Install the pre-commit hook to prevent accidentally committing secrets:
cp scripts/pre-commit .git/hooks/pre-commit
Run the server
source venv/bin/activate
python server.py
Or with FastMCP dev mode:
fastmcp dev server.py
Configuration
| Variable | Required | Description |
|---|---|---|
ZEP_API_KEY | Yes | Zep Cloud API key |
ZEP_TOOLSETS | No | Comma-separated tool groups to enable. Values: memory, admin. Defaults to memory,admin (all tools). |
Tools
13 tools organized by jobs-to-be-done:
Memory tools (memory):
add_messages— Add messages to a conversation threadget_context— Get assembled context block for a useradd_graph_data— Add data to a knowledge graph (text, JSON, message, or triple)search_graph— Search a knowledge graph for facts, entities, or episodesget_task— Poll status of an async Zep operation
Admin tools (admin):
manage_user— User CRUD (create, get, update, delete, list, warm)manage_user_instructions— Manage user summary instructionsmanage_thread— Thread CRUD (create, get, delete, list)manage_graph— Graph lifecycle (create, get, update, delete, list, clone)manage_graph_structure— Graph schema, ontology, and custom instructionsmanage_graph_data— Node, edge, and episode inspection and managementmanage_context_templates— Context template CRUDproject_info— Get current Zep Cloud project info
Running tests
source venv/bin/activate
python -m pytest tests/
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.