# AKBridge MCP Server

> AKBridge MCP Server — kevynf-akbridge. Use this tool when you need to access extensive financial data through natural language queries, enabling seamless integration with LLM clients and agents. It solves data retrieval problems by providing structured JSON output, pagination, and automated validation, making it reliable and efficient. Ideal for use cases requiring simplified financial data access, such as market research, data analysis, or automated reporting.

Canonical page: https://skillsregistry.net/skills/kevynf-akbridge  
JSON: https://api.skillsregistry.net/v1/skills/kevynf-akbridge

## Description

Connects AKShare's extensive financial data interfaces to the Model Context Protocol (MCP), enabling LLM clients and agents to search, describe, and call these interfaces via natural language. Provides structured JSON output, pagination, routing, and automated validation to simplify data retrieval while maintaining reliability.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w10sj0uedo)
- **Repository:** <https://github.com/kevynf/akshare-mcp-bridge>

## 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": "kevynf-akbridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kevynf-akbridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kevynf-akbridge/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