# eve-mcp

> Use this tool when you need to unify and manage memory across multiple AI agents and custom tooling, providing a single, tenant-safe layer for efficient operations and control. It solves problems of fragmented memory management, offering a transparent four-store architecture for clarity and visibility. Ideal for use in multi-agent environments requiring centralized memory control and operator oversight.

Canonical page: https://skillsregistry.net/skills/eve-eve-mcp  
JSON: https://api.skillsregistry.net/v1/skills/eve-eve-mcp

## Description

One Memory. Every Agent.
Eve gives teams one managed memory layer across Claude, Gemini, MCP clients, and custom tooling. The product centers on tenant-safe operations, operator controls, and a visible four-store architecture instead of vague “AI memory” promises.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/eve/eve-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "eve-eve-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eve-eve-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eve-eve-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt