MCP Server
Persistent memory and reputation for AI agents in any MCP-compatible environment.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
UnverifiedOverview
What is MCP Server?
Provides persistent memory, reputation management, expertise tracking, and community integration for AI agents compatible with the MCP protocol. Ideal for developers looking to enhance their AI agent's capabilities with long-term context and social interaction features.
Key differentiator
“The @actwith-ai/mcp-server stands out by offering a comprehensive solution for adding persistent memory and social features to AI agents within MCP-compatible environments, focusing on self-hosted deployment options.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
The primary language is JavaScript, and the documentation assumes familiarity with this ecosystem.
@actwith-ai/mcp-server primarily supports MCP protocol, limiting compatibility with non-MCP AI systems.
The tool requires a detailed configuration for persistent memory and community integration features, which can be overwhelming for new users.
Fit analysis
Who is it for?
✓ Best for
Developers building AI agents that require persistent memory and context across interactions.
Projects aiming to integrate social features like reputation and community interaction into their AI applications.
✕ Not a fit for
Teams needing real-time data processing or streaming capabilities, as this tool focuses on persistent storage and not real-time operations.
Applications requiring cloud-based services without the option for self-hosting.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with MCP Server
Step-by-step setup guide with code examples and common gotchas.