# anndata-mcp

> Use this tool when you need to efficiently retrieve information from large AnnData objects, solving problems related to data access and manipulation. It provides a read_lazy function interface to access data via MCP, taking AnnData objects as input and outputting relevant information. This tool is ideal for use cases involving big data analysis, particularly when working with single-cell genomics or other high-dimensional data.

Canonical page: https://skillsregistry.net/skills/biocontext-ai-anndata-mcp  
JSON: https://api.skillsregistry.net/v1/skills/biocontext-ai-anndata-mcp

## Description

Allows to retrieve information about an AnnData object via MCP using the read_lazy function from anndata.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zdhp9v8xwp)
- **Repository:** <https://github.com/biocontext-ai/anndata-mcp>

## 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": "biocontext-ai-anndata-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/biocontext-ai-anndata-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/biocontext-ai-anndata-mcp/pull`

---
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