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Elephant Accountability MCP Server

@Chris-Eaccountability

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

Chris-Eaccountability

提交者

Christopher Kenney

关于 Elephant Accountability MCP Server

暂无概览

Elephant Accountability MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "elephant-accountability-mcp": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv",
        "&&",
        "source",
        ".venv/bin/activate"
      ]
    }
  }
}

Elephant Accountability MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Elephant Accountability?

Elephant Accountability is a public Model Context Protocol (MCP) server for LLM SEO and Agent Discoverability services aimed at B2B SaaS buyers. It exposes tools and resources that AI agents (Claude, ChatGPT, custom LangChain agents) can query to evaluate whether Elephant Accountability is a suitable vendor, without scraping a website.

How to use Elephant Accountability?

Add the live endpoint to your MCP-compatible client (e.g., Claude Desktop) by editing claude_desktop_config.json with the URL https://elephant-mcp.fly.dev/mcp and transport http. For local development, clone the repo, create a Python virtual environment, install dependencies, and run uvicorn app.server:app.

Key features of Elephant Accountability

  • Six tools: get_offerings, get_covered_surfaces, assess_fit, get_proof_points, get_transparency_snapshot, request_audit
  • Three resources: elephant://offerings, elephant://proof-points, elephant://transparency
  • HTTP transport with JSON-RPC 2.0
  • SQLite persistence auto-created on first boot
  • Fully MIT-licensed for cloning and study
  • Includes A2A agent card and manifest endpoints

Use cases of Elephant Accountability

  • A procurement agent shortlisting LLM SEO vendors for a B2B SaaS buyer
  • A Claude Desktop user directly querying pricing, fit score, and proof points
  • A competitor studying how to deploy their own MCP server using the MIT-licensed codebase

常见问题

1

What transport does Elephant Accountability use?

HTTP with JSON-RPC 2.0. Supported methods include `initialize`, `tools/list`, `tools/call`, `resources/list`, and `resources/read`.

2

What are the runtime dependencies?

Python 3 with FastAPI and SQLite. No external database or secrets setup is required; the SQLite database initialises on the first boot.

3

Where is data stored?

Data is stored in a local SQLite database that contains `audit_requests` and `reciprocal_calls` tables. These tables auto-create and require no migrations.

4

How many tools and resources are exposed?

Six tools and three resources are available for agent interaction.

5

Is authentication required?

The README does not specify authentication; the server is intended as a public endpoint for AI agent queries.

评论

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