# slack-indexed

> Use this tool when you need to efficiently search and retrieve specific Slack messages or threads using natural language queries. It solves problems of information overload and disorganization in Slack channels by providing semantic search and retrieval capabilities. The tool takes in natural language queries as input and outputs relevant message threads, channel, or user statistics, making it ideal for use cases where quick access to specific Slack history is required.

Canonical page: https://skillsregistry.net/skills/kanvabhatia-alaan-alaan-slack-indexed-mcp-tool  
JSON: https://api.skillsregistry.net/v1/skills/kanvabhatia-alaan-alaan-slack-indexed-mcp-tool

## Description

An MCP server for semantic search and retrieval of indexed Slack messages stored in Qdrant using Cohere reranking via AWS Bedrock. It enables users to search through Slack history, retrieve full message threads, and access channel or user statistics through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xf4tr0u6xy)
- **Repository:** <https://github.com/KanvaBhatia-Alaan/alaan-slack-indexed-mcp-tool>

## 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": "kanvabhatia-alaan-alaan-slack-indexed-mcp-tool"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kanvabhatia-alaan-alaan-slack-indexed-mcp-tool` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kanvabhatia-alaan-alaan-slack-indexed-mcp-tool/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