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

Research pipeline

  • 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 & library

  • search_econpapers — raw EconPapers search, returns JSON paper objects
  • search_ssrn — raw SSRN search, returns JSON paper objects
  • download_paper — download a found paper (EconPapers/SSRN/arXiv/DOI URL) into your library and get its paper_id
  • upload_paper — upload a local PDF into your library and get its paper_id
  • list_user_papers — list papers in your library (resolve paper_ids; optional title filter)

Workflows

  • 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 (server-executed)
  • run_workflow_on_pdf — upload a local PDF and run a workflow on it in one call
  • get_workflow_definition — fetch a workflow's raw declarative DAG (steps/prompts/deps) as JSON
  • compile_workflow_skill — convert a workflow into a portable skill (target=claude|codex|gemini) your own agent runs, instead of executing it server-side

Typical flow: search_econpapers / search_ssrndownload_paperrun_paper_workflow. Or, to reuse a workflow as an agent skill: list_paper_workflowscompile_workflow_skill → save the returned SKILL.md.

Setup

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

{
  "mcpServers": {
    "essencescholar": {
      "command": "uvx",
      "args": ["essencescholar-mcp"],
      "env": {
        "ESSENCESCHOLAR_API_KEY": "sk_live_..."
      }
    }
  }
}

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-0.5.0.tar.gz (64.5 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-0.5.0-py3-none-any.whl (17.3 kB view details)

Uploaded Python 3

File details

Details for the file essencescholar_mcp-0.5.0.tar.gz.

File metadata

  • Download URL: essencescholar_mcp-0.5.0.tar.gz
  • Upload date:
  • Size: 64.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.15

File hashes

Hashes for essencescholar_mcp-0.5.0.tar.gz
Algorithm Hash digest
SHA256 1570ea8ad8da7826e89c117e5ec0c9e59d5620015beb81bb1390b56db0a85d9f
MD5 db5072b8f2b6449d075447df40c4f255
BLAKE2b-256 f5e2e4c54f088caa0faf7e5773b0eecae8a4c56b1d909944bd2c45fa7b4c365e

See more details on using hashes here.

File details

Details for the file essencescholar_mcp-0.5.0-py3-none-any.whl.

File metadata

File hashes

Hashes for essencescholar_mcp-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 679140b779829a5bac151662e8593835c254d7b376843f90cde7a96a14dbdbbc
MD5 cd8a3d8e299a3b33e26d2a6d9059c6ee
BLAKE2b-256 c5e459dceb0b32d900ebc496291c887cee8ac0d398712d1aefd3549528001afb

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