MCP Comparison
Compare features, tools, and capabilities of these MCP servers side by side.
Graphiti MCP Server
Graphiti MCP Server is an experimental implementation that exposes Graphiti's real-time, temporally-aware knowledge graph capabilities through the MCP (Model Context Protocol) interface. It enables AI agents and MCP clients to interact with Graphiti's knowledge graph for structured extraction, reasoning, and memory across conversations, documents, and enterprise data. The server supports multiple backends (FalkorDB by default and Neo4j), a variety of LLM providers (OpenAI, Anthropic, Gemini, Groq, Azure OpenAI), and multiple embedder options, all accessible via an HTTP MCP endpoint at /mcp/ for broad client compatibility. It also includes queue-based asynchronous episode processing, rich entity types for structured data, and flexible configuration through config.yaml, environment variables, or CLI arguments.
Pipedream MCP Server
Pipedream MCP Server is a reference implementation for self-hosting a Model Context Protocol (MCP) server. It showcases how to manage and serve MCP-based apps and tools in your own environment, providing you with a way to run MCP servers locally or within your organization. Note that this MCP server is a reference implementation and is no longer actively maintained; for production workloads, Pipedream recommends using the remote MCP server, which offers hosted reliability and scaling. The server supports two primary modes and integrates with Pipedream Connect for authentication and API management, enabling automatic app discovery and credential storage with enterprise-grade security.
| Feature | Graphiti MCP Server | Pipedream MCP Server |
|---|---|---|
| Verified | ||
| Official | ||
| Tools Available | 9 | 0 |
| Has Installation Guide | ||
| Has Examples | ||
| Website | ||
| Source Code |
- add_episode
- search_nodes
- search_facts
- delete_entity_edge
- delete_episode
- get_entity_edge
- get_episodes
- clear_graph
- get_status
No tools listed
Can't decide? Check out both MCP servers for more details.