# NLM Expert Research MCP — Frontier

> NLM Expert Research MCP — Frontier — israelmamani-nlm-expert-research-mcp-frontier. Use this tool when you need to research and verify information across multiple notebooks while preserving evidence provenance. It enables retrieval, comparison, and verification of evidence from closed corpora, solving problems related to information validation and evidence-based research. Ideal for use cases requiring thorough and trustworthy research, it takes in search queries and returns relevant evidence and comparisons.

Canonical page: https://skillsregistry.net/skills/israelmamani-nlm-expert-research-mcp-frontier  
JSON: https://api.skillsregistry.net/v1/skills/israelmamani-nlm-expert-research-mcp-frontier

## Description

An MCP server that enables Claude to research across NotebookLM notebooks as closed corpora, preserving evidence provenance and providing tools for evidence retrieval, comparison, and verification.

## 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/nnwmwwblm1)
- **Repository:** <https://github.com/israelmamani/nlm-expert-research-mcp-frontier>

## 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": "israelmamani-nlm-expert-research-mcp-frontier"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/israelmamani-nlm-expert-research-mcp-frontier` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/israelmamani-nlm-expert-research-mcp-frontier/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