# AgentOS Knowledge MCP Server

> AgentOS Knowledge MCP Server — suriya-prakash-murugan-agentos-knowledge. Use this tool when you need to efficiently search and retrieve relevant pharmaceutical documents with verified citations. The AgentOS Knowledge MCP Server solves problems of information overload and citation validation by providing indexed document access and context retrieval. It accepts query inputs and returns relevant document excerpts with grounded citations, ideal for use cases requiring accurate and trustworthy pharmaceutical information retrieval.

Canonical page: https://skillsregistry.net/skills/suriya-prakash-murugan-agentos-knowledge  
JSON: https://api.skillsregistry.net/v1/skills/suriya-prakash-murugan-agentos-knowledge

## Description

Provides document search, context retrieval, and indexing tools for AgentOS agents to query pharma documents with grounded citations.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rczvf9nqtr)
- **Repository:** <https://github.com/suriya-prakash-murugan/AgentOS-Knowledge>

## 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": "suriya-prakash-murugan-agentos-knowledge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/suriya-prakash-murugan-agentos-knowledge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/suriya-prakash-murugan-agentos-knowledge/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