# FlowMCP

> Use this tool when you need to enable seamless communication and data sharing between multiple AI models and tools. FlowMCP solves the problem of isolated AI memories by providing a centralized, persistent memory server that allows different AI tools to access and share information. It takes in AI model inputs and outputs shared memory data, making it ideal for use cases that require continuous learning, context retention, and inter-model collaboration.

Canonical page: https://skillsregistry.net/skills/tydeck1016-flow-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/tydeck1016-flow-mcp-server

## Description

Cross-model AI memory persistence server that gives every AI tool you use access to the same persistent memory.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zo69eek4d8)
- **Repository:** <https://github.com/tydeck1016/flow-mcp-server>

## 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": "tydeck1016-flow-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tydeck1016-flow-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tydeck1016-flow-mcp-server/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