A
licenseB
qualityC
maintenanceAn MCP server that provides LLMs access to other LLMs
4
24 npm
78
MIT
Letta MCP Server
by oculairmedia
Related Servers
Alternatives to Letta MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceConnects any MCP-compatible AI client to Letta.ai's stateful agents for agent conversations, memory management, and tool orchestration.1812MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that provides memory management tools for AI agents, enabling adding, searching, updating, and deleting memories via the Mem0 API.9 npmMIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that enables AI agents to interact with the SpaceTraders API, managing agents, fleets, contracts, and trading operations in the SpaceTraders universe.MIT
- FlicenseAqualityDmaintenanceAn MCP server that enables LLMs to interact with Agent-to-Agent (A2A) protocol compatible agents, allowing for sending messages, tracking tasks, and receiving streaming responses.528-
- AlicenseAqualityBmaintenanceMCP server that enables AI assistants to interact with the MemOS API, providing memory search, feedback management, and knowledge base operations via MCP-compliant tools.10Apache 2.0
TDQS
A3.8/5.0
Scored across 36 tools
Disambiguation4/5
Most tools have distinct purposes, but there is some overlap that could cause confusion. For example, 'list_passages' and 'search_archival_memory' both deal with archival memory, and 'get_agent_summary' and 'retrieve_agent' both provide agent details with unclear differentiation in their descriptions. However, the descriptions generally help clarify the intended use cases.
Naming Consistency5/5
The tool names follow a highly consistent verb_noun pattern throughout, such as 'create_agent', 'list_agents', 'modify_agent', and 'delete_agent'. There are no deviations in naming conventions, making the set predictable and easy to understand.
Tool Count2/5
With 36 tools, the count is excessive for the domain of agent management and memory handling. This many tools can overwhelm users and agents, making it difficult to navigate and select the right tool efficiently. A more streamlined set would improve usability.
Completeness5/5
The tool set provides comprehensive coverage for managing agents, tools, memory, and conversations in the Letta system. It includes full CRUD operations for agents, memory blocks, and passages, along with advanced features like cloning, importing/exporting, and searching. No obvious gaps are present for the stated purpose.
Maintenance
ActivityInactive
ResponsivenessSlow