MCP server

Chart Library — Market-state research

io.github.grahammccain/chart-library

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

14

Token cost

About 2,906 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http chart-library https://chartlibrary.io/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.chart-library]
url = "https://chartlibrary.io/mcp"

Gemini CLI

{"mcpServers":{"chart-library":{"httpUrl":"https://chartlibrary.io/mcp"}}}

Cursor

{"mcpServers":{"chart-library":{"url":"https://chartlibrary.io/mcp"}}}

VS Code

{"servers":{"chart-library":{"type":"http","url":"https://chartlibrary.io/mcp"}}}

Antigravity

agy mcp add chart-library https://chartlibrary.io/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"chart-library","server_url":"https://chartlibrary.io/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"chart-library","server_url":"https://chartlibrary.io/mcp"}

Tools

• check_company_forecasts ~173 tokens
  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 ~137 tokens
  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.
• compare_company_revisions ~141 tokens
  Compare facts, assumptions, scenarios and thesis between immutable revisions. Omit to_revision for latest.
• daily_note ~153 tokens
  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
• get_company_file ~371 tokens
  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_revisions ~117 tokens
  Browse immutable published versions, reasons and pinned JSON/CSV links. Follow next_offset.
• get_company_status ~140 tokens
  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_watchlist ~148 tokens
  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 ~120 tokens
  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 ~281 tokens
  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
• read_research ~488 tokens
  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
• research_quality ~176 tokens
  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
• run_company_scenario ~195 tokens
  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
• search_research ~266 tokens
  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

Browse

• GitHub tools
• Spreadsheets
• GitHub and code hosting
• Stocks and markets

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