Connect-MCP

Chart Library — Market-state research

io.github.grahammccain/chart-library · v6.3.3

Market memory for AI: historical states, published studies and source evidence.

MCPremotelocal · pypino credentialsResearch & educationFiles & storage

Reported outcomes

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Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 14 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 71/100

What it does: 14 tools · 14 read, 0 write · Research & education, Files & storage, Finance

Test call list_coverage: failed — response too large (3,573 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +1
  • Read/write annotations: +5
  • Safe test call: 0
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://chartlibrary.io/mcp
Package
registry:   pypi
identifier: chartlibrary-mcp
version:    6.3.3
transport:  stdio

Tools

14 tools listed at last check
  • get_company_file One covered company's living research file (company_file.v1): business, three drivers, the last eight fiscal quarters from SEC XBRL with provenance on every number, the desk's own estimates and revision log, the thesis and what changes it, the market-memory bands or an explicit coverage 'non
  • get_company_status Current monitoring alongside the immutable company file. Preserve scan versus review clocks, pending discovery leads, source failures and limitations. Never use current monitoring as historical evidence or as approval to promote a company. No arguments other than a ticker.
  • get_company_revisions Browse immutable published versions, reasons and pinned JSON/CSV links. Follow next_offset.
  • compare_company_revisions Compare facts, assumptions, scenarios and thesis between immutable revisions. Omit to_revision for latest.
  • run_company_scenario Calculate a temporary scenario from 1-20 assumption cell IDs and numerical values in their published units. Read get_company_file first. Reported facts, guidance and the published revision stay unchanged. Preserve limitations and identify user assumptions. No recommendation or valuation is i
  • check_company_forecasts Compare frozen revenue forecasts with reported results. Forecasts must precede quarter end. Missing results and definition mismatches remain unavailable. This is not market-memory calibration.
  • compare_company_history Two to six companies, one quarter end (YYYY-MM-DD), USD history and provenance. Mismatched source concepts or missing history never become comparable numerical values.
  • get_company_watchlist Latest model revisions, current review status and qualified checkpoints for 1-20 companies. No list is saved on the server. Compare revisions with your own last-seen markers. This reads published research, not new source checks or live quotes. Preserve unavailable rows.
  • list_coverage The research hub's coverage universe: clusters and symbols, with each symbol's company-file revision, as_of date, whether a compiled file exists, and skeleton=true when the authored half is empty. file=true is not coverage. No arguments. Read a file with get_company_file(symbol).
  • market_state One call: completed-session state, tape, historical analogs, outcome ranges and transition memory. symbol is a stock ticker; optional date is YYYY-MM-DD. Omit date for the latest built session, not real-time prices. Preserve status, sample sizes, dates, informative receipts, meta.warnin
  • daily_note Read the published daily research, its selection rule and settled-note tally in one call. No arguments needed. Optional date (YYYY-MM-DD) selects a published session. A missing note or unsettled outcome is unavailable evidence, not zero. The note is research selected by a disclosed rule
  • research_quality Read the published five-session calibration receipt; no arguments or earlier tool call needed. Preserve the receipt's dates, sample sizes and qualifications. Coverage applies to the calibrated cohort-band method and population named in the response, NOT automatically to market_state's e
  • search_research Find published studies, Casebook and agent protocols by keyword. kind: all, study, casebook or agent_protocol. limit 1-20; use next_offset for more results. Returns exact IDs, findings, verdicts, dates, samples and document versions. Partial status means one publication source was unava
  • read_research Read a publication ID returned by search_research, preserving its evidence. source_fields returns exact catalog status/receipt fields; content.source_rows exposes literal result tables/mappings with source positions and heading scope. These are source projections, not AI conclusions. Mi

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