Skip to main content

MCP server exposing EssenceScholar deep research and paper workflows as agent tools

Project description

EssenceScholar MCP Server

MCP server exposing the EssenceScholar deep research pipeline and paper workflows as agent tools.

Tools

  • deep_research — full literature review pipeline (2–8 min, searches EconPapers/arXiv/SSRN, enriches top papers, generates a structured draft)
  • deep_research_chat — follow-up on an existing session (ask questions, expand, dig deeper)
  • list_deep_researches — list all past research sessions
  • get_deep_research — retrieve any past draft by ID
  • search_econpapers — raw EconPapers search, returns JSON paper objects
  • list_paper_workflows — list available Agent Studio workflows (custom wf_* and system wf_sys_* pipelines)
  • run_paper_workflow — run a workflow (by ID) on a paper in your library

Setup

Add to your Claude config (~/.claude/settings.json):

{
  "mcpServers": {
    "essencescholar": {
      "command": "uvx",
      "args": ["essencescholar-mcp"],
      "env": {
        "ESSENCESCHOLAR_API_KEY": "sk_live_...",
        "ESSENCESCHOLAR_API_URL": "https://nightly-api.essencescholar.com"
      }
    }
  }
}

Get your API key from essencescholar.com.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

essencescholar_mcp-0.3.3.tar.gz (58.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

essencescholar_mcp-0.3.3-py3-none-any.whl (12.4 kB view details)

Uploaded Python 3

File details

Details for the file essencescholar_mcp-0.3.3.tar.gz.

File metadata

  • Download URL: essencescholar_mcp-0.3.3.tar.gz
  • Upload date:
  • Size: 58.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.15

File hashes

Hashes for essencescholar_mcp-0.3.3.tar.gz
Algorithm Hash digest
SHA256 01f8cfb6126e3cf42428999c99c63d1c999a9310b896917e77fc484cfcbf1d10
MD5 30e0a8a48a43972f15c3bb428c942bb3
BLAKE2b-256 63fbef3c481b9a1b3a6e98d301cc2592b605feea01297c3e8f0aca9df3c20b5b

See more details on using hashes here.

File details

Details for the file essencescholar_mcp-0.3.3-py3-none-any.whl.

File metadata

File hashes

Hashes for essencescholar_mcp-0.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 5cde6102f4f5281ea78e7923187a5c1a84879f225dcbc7a248c0bd409d9843ae
MD5 655f724186b6fcf1fee3e74fe5eacff6
BLAKE2b-256 1712af7c92a56e90ebda44bf557e8741a462f193d035a689306d0590c5146ba2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page