# Spider Chat

> Use this tool when you need to access and search complex conversation structures, retrieve contextual information, and manage user data. It solves problems related to nonlinear conversation management, semantic search, and user profiling by providing a platform to retrieve flows, memories, and facts. The tool integrates with the Spider Chat API, taking in user data and conversation inputs and outputting filtered search results and user profiles.

Canonical page: https://skillsregistry.net/skills/spider-chat  
JSON: https://api.skillsregistry.net/v1/skills/spider-chat

## Description

Provides access to Spider Chat's nonlinear conversation platform through MCP, enabling retrieval and search of flows (conversation structures), memories (contextual information), and facts (user data). Integrates with Spider Chat's hosted API to expose organizational flow structures, semantic memory search with importance filtering, and fact-based user profiling across categories like identity, professional details, and preferences.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/spider-chat)
- **Repository:** <https://github.com/spider-chat/spiderchat-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": "spider-chat"
    }
  }
}
```

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