# highstory-mcp [Health: Active]

**Category:** 💻 Developer Tools  
**Repository:** https://github.com/7figures007/servers  
**GitHub Stars:** 0  
**npm Downloads (last month):** 932185  
**Views:** 2  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/highstory-mcp-2

## Description
High Story MCP Server - Automate AI content campaigns and social media management.

## Tools
Capabilities this server exposes over MCP:

- **create_entities** — Create multiple new entities in the knowledge graph. An entity whose name already exists, or repeats an earlier entity in the same call, is skipped and its observations are not added; the result lists the skipped names in `skipped`. Use add_observations to add observations to an existing entity.
- **create_relations** — Create multiple new relations between entities in the knowledge graph. Relations should be in active voice
- **add_observations** — Add new observations to existing entities in the knowledge graph
- **delete_entities** — Delete multiple entities and their associated relations from the knowledge graph
- **delete_observations** — Delete specific observations from entities in the knowledge graph
- **delete_relations** — Delete multiple relations from the knowledge graph
- **read_graph** — Read the entire knowledge graph
- **search_nodes** — Search for nodes in the knowledge graph based on a query
- **open_nodes** — Open specific nodes in the knowledge graph by their names

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `npx` (confidence: high):

```json
"mcpServers": {
  "highstory-mcp": {
    "command": "npx",
    "args": ["-y","@modelcontextprotocol/server-memory"]
  }
}
```

## Documentation

## What the highstory-mcp MCP server does

That description establishes the intended problem area, but it does not name a social platform, content provider, API, database, or other external system. It also does not explain which campaign actions are automated or whether social media operations are read-only, mutating, scheduled, or approval-based.

The repository source is presented as a collection of MCP reference implementations and community-server references.

## How it works

There is no evidence here of whether it runs over standard input/output, HTTP, or another connection method. The available information likewise does not show how an agent supplies campaign instructions, selects social accounts, reviews generated content, or confirms publishing actions.

The repository README describes MCP servers as controlled interfaces between large language models and tools or data sources. That general context explains the likely role of highstory-mcp, but it does not verify the server's concrete behavior. Developers should inspect the repository files or an authoritative project README before designing an integration around it.

## Limitations and notes

The main limitation is documentation coverage. No supported client is named either.

The repository README includes a general warning that its reference servers are educational examples and should not automatically be considered production-ready.

Use the listing to identify highstory-mcp as a possible fit for AI content and social media workflows. Before deployment, confirm the actual repository contents, tool definitions, authentication model, client setup, and operational safeguards. If those details are unavailable, the server cannot be assessed reliably for production use.

_Full upstream README: https://allmcps.com/mcp/highstory-mcp-2/readme_