MCP.Market

Sibyl — Deep Research MCP server

by chriswu727·io.github.chriswu727/sibyl·v0.4.0b1·2 stars
No reviews yet

Deep Research MCP for multi-round investigations, traceable evidence, and cited reports.

A92/100grade A
Write a reviewInstall
What users say
No reviews yet
Be the first
Safety scan
A92/100

full report

Adoption
Growing

2 stars158 downloads/wk

Reviews

Write one

Nobody has reviewed Sibyl — Deep Research MCP yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Sibyl — Deep Research MCP tools (20, 4 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • analyze

    Analyze provided text with a specific question using LLM.

  • assess_research

    Record host judgment for one planned question; does not call a model.

  • cancel_researchwrite action

    Cancel research and retain evidence, or explicitly delete its local checkpoint.

  • chart

    Generate a price history line chart for one or more financial symbols.

  • compare

    Generate a structured comparison table for 2-5 items.

  • complete_research

    Save a host-authored report against a current evidence revision.

  • continue_research

    Retrieve a focused query for a host job, or explicitly resume an autonomous job.

  • fetch_market_data

    Fetch real financial/stock/ETF data from Yahoo Finance.

  • gather_bundle

    Return a structured, keyless SourceBundle without synthesizing an answer.

  • gather_evidencewrite action

    Run a bounded evidence loop while leaving planning and synthesis to the host.

  • gather_sources

    Keyless web retrieval: search + scrape + dedup, returning the top FULL-TEXT sources for a query WITHOUT writing an answer — so YOU (the calling model) read the evidence and reason over it yourself.

  • get_research

    Read progress, evidence, current citation numbering and report; omit ID to list jobs.

  • quick_search

    Quick web search without deep analysis. Returns raw search results.

  • read_url

    Read and extract clean text content from a URL.

  • researchwrite action

    Run a deep research cycle on any topic.

  • save_report

    Save the last research report as PDF and/or Markdown file.

  • start_researchwrite action

    Create a persistent research job. Default host mode is keyless.

  • swot

    Generate a SWOT analysis (Strengths, Weaknesses, Opportunities, Threats).

  • timeline

    Generate a chronological timeline of key events for a topic.

  • trends

    Get Google Trends data for keywords — real search interest over time.

Public scan report

scanner v0.1.10 · 2026-10-25 · same rubric, same numbers if you re-run it

no findings
  • Code scan68 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 3 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Sibyl — Deep Research MCP compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
92/100
higher than 95% of 48,255 servers
Tools
20
the typical server has 7
Tools that change things
20%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
2
more than 75% of 28,688 servers
Downloads a week
158
more than 71% of 12,191 servers with a package

What its tools let an agent do: 15 read · 1 create · 2 change · 1 delete · 1 run or deploy

Install Sibyl — Deep Research MCP in Claude Code, Cursor or VS Code

claude mcp add sibyl -- uvx sibyl-research
Add to Cursor

What the publisher says

From the Sibyl — Deep Research MCP repository's README, as published. We do not edit it. Read it on GitHub

<!-- mcp-name: io.github.chriswu727/sibyl -->

A Deep Research MCP that turns complex questions into traceable reports through multi-round retrieval, source tracking, and evidence review.

Plan. Investigate. Check the evidence. Deliver a report—with its limitations.

Current beta: 0.4.0b1 · Release notes · Install from PyPI · MCP Registry

The workflow below targets this beta. GitHub's Latest label and the stable PyPI badge refer to the older 0.3.0 release.

Quick start · Research workflow · Documentation · Operations · Roadmap

From a question to a traceable report

A search result is not yet a research report. Sibyl keeps the plan, searches, evidence, progress, and final report together in a bounded local research job. Your existing agent can plan and write using the keyless host-assisted mode. An experimental configured-model mode can run research in the background, including a bounded follow-up search and report-wide source-support checks.

Both modes use the same inspectable evidence pipeline. Host mode needs no model key, no search key, and no second LLM. Autonomous mode has its own model configuration and billing; it does not inherit the host's subscription.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Sibyl — Deep Research MCP: common questions

Is Sibyl — Deep Research MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the Sibyl — Deep Research MCP safety report
How do I install Sibyl — Deep Research MCP?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Sibyl — Deep Research MCP need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Sibyl — Deep Research MCP maintained?
The last commit was 13 days ago (2026-10-22). The latest release is v0.4.0b1.
What can I use instead of Sibyl — Deep Research MCP?
Servers from other publishers that do the same job: llmwiki MCP server.
How does Sibyl — Deep Research MCP compare with other MCP servers?
safety score 92/100 (higher than 95% of 48,255 servers); tools 20 (the typical server has 7); tools that change things 20% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Sibyl — Deep Research MCP

Same job from other publishers: the closest match first, then the best rated.

  • llmwiki
    Compile documents into a cited knowledge wiki. Retrieve evidence, query, and review via local MCP.
    A