# lark-mcp-on-agentcore

> lark-mcp-on-agentcore — aws-samples-sample-lark-mcp-on-agentcore. Use this tool when you need to integrate Feishu's extensive API library into your AI workflows, enabling access to 2500+ APIs via 200+ tools with streamlined multi-step operation orchestration. It solves problems of API complexity and fragmentation, providing a unified interface for AI clients to interact with Feishu services. Ideal for use cases requiring automated workflows, data synchronization, or custom application development within the Feishu ecosystem.

Canonical page: https://skillsregistry.net/skills/aws-samples-sample-lark-mcp-on-agentcore  
JSON: https://api.skillsregistry.net/v1/skills/aws-samples-sample-lark-mcp-on-agentcore

## Description

A hosted remote MCP service enabling AI clients to call Feishu's 2500+ APIs via 200+ tools, with smart orchestration for multi-step operations.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yc31ot4dlo)
- **Repository:** <https://github.com/aws-samples/sample-lark-mcp-on-agentcore>

## 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": "aws-samples-sample-lark-mcp-on-agentcore"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aws-samples-sample-lark-mcp-on-agentcore` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aws-samples-sample-lark-mcp-on-agentcore/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