# Pinecone Economic Books

> Use this tool when you need to search and discover economic concepts, theories, and research through a vast database of books and academic papers using natural language queries. It solves problems of information overload and imprecise search results by providing 10 specialized search tools with metadata filtering capabilities. The tool takes in natural language queries as input and outputs relevant search results with filtered metadata, making it ideal for researchers, economists, and students seeking precise information on economic topics.

Canonical page: https://skillsregistry.net/skills/srulyrosenblat-econ-mcp  
JSON: https://api.skillsregistry.net/v1/skills/srulyrosenblat-econ-mcp

## Description

Enables semantic search through a Pinecone vector database containing economic books and academic papers using natural language queries. Provides 10 specialized search tools with metadata filtering for precise discovery of economic theories, concepts, and research by author, subject, or book.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q4g1epq6or)
- **Repository:** <https://github.com/SrulyRosenblat/econ_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": "srulyrosenblat-econ-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/srulyrosenblat-econ-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/srulyrosenblat-econ-mcp/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