How do I connect Chart Library MCP Server to Claude?

The listing records `claude mcp add chart-library -- chartlibrary-mcp` as its setup step. Run it, then follow the repository's instructions for the client configuration; the listing names Claude Desktop, Claude Code, Cursor as compatible clients.

Is Chart Library MCP Server free?

The listed licence is MIT. Check the upstream terms for permitted use and commercial requirements; a public repository does not by itself mean the software is free or open source. Connected APIs and hosted services may have separate charges.

What can Chart Library MCP Server do?

Chart Library MCP Server documents 16 tools to the agent, including analyze, cohort_analyze, cohort_attribution. The descriptions above come from project documentation. A live handshake does not test individual tool behavior.

Chart Library MCP

Unclaimed

by grahammccain

MCP server for Chart Library — visual chart pattern search engine. Find similar historical stock charts and see what happened next.

Install

$claude mcp add chart-library -- chartlibrary-mcp

Set up this server

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This server needs project-specific setup. Follow the project instructions; no reusable public launch command is available yet.

Project instructions

ai-agentsclaudefinancemarket-datamcpmcp-serverpattern-recognitionstockstechnical-analysistrading

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16 of 16 tools

Documented tools (16)

From project documentation. A server handshake does not verify each tool’s description or behavior.

analyze

Analytic metrics. metric= accepts anomaly, volumeprofile, crowding, correlationshift, earningsreaction, patterndegradation, regimeaccuracy, decompose (slice winners vs losers), clusters (cohort-internal grouping).

cohort_analyze

Same engine as pullcomps under the original field names (cohortid, featureimportance, winrate, volregime, …). Kept callable verbatim for existing integrations; new ones should prefer pullcomps.

cohort_attribution

Within-cohort winner/loser attribution — which member traits separated the forward-return tail from the rest, each with a by-date cluster-bootstrap CI and a false-discovery decision. Descriptive, never causal.

cohort_groupby

Partition the cohort by one dimension (volregime, sectoretf, momentum5d, …) → per-bucket outcome distributions vs baseline. The one-call "does this dimension matter?" primitive.

cohort_introspect

Slice/probe a stored comp set by ANY attribute (macro · technical · event) and get per-subset stats vs the full-cohort baseline. No kNN re-run. "Of the 300 analogs, how do the post-earnings-week ones do?"

cohort_members

The full cohort, one record per analog, with rich per-member metadata (forward outcomes, regime, anchor fundamentals, news, chart events). Slice and bucket it yourself.

cohort_rerank

Reorder the cohort by a weighted composite of member fields you name (e.g. "ret5d:1,distance:-0.5") — impose your objective on the analogs, fully auditable.

context

Situational data. target= accepts "market", a ticker symbol ("NVDA"), {"symbol": ..., "date": ...} for lightweight anchor metadata, or "system" for DB coverage.

explain

Narrative + rankings derived from a cohort. style= accepts filterranking (which filter shifts the distribution most), prose (plain-English summary), positionguidance (exit signals), riskranking.

get_portfolio_health

portfolio

Multi-holding weighted conditional distribution. Runs per-holding cohorts in parallel, weight-averages the distributions, ranks tail contributors.

pull_comps

The flagship. Pull the comp set for a subject (symbol, date, timeframe) — the historical analogs, what they did next, the drivers that separated the best outcomes, and our coveragerecord. Front-of-house lexicon: subject · compsetid · compcount · compstrength · matchquality · drivers · uprate · condi

report_feedback

File an error or improvement suggestion back to the project.

search

Entry point. Find similar historical patterns for an anchor; returns a comp-set handle you can chain. mode= supports text (default), livebars (raw OHLCV), similar (cohort-level neighbors).

symbol_intelligence

Layer 5 memory — per-symbol feature reliability + achieved calibration across prior analyses. Ground a read in whether a feature has historically been reliable for this ticker.

track_record

Historical predicted-vs-realized coverage of our calibrated bands (a track record, not a forecast). The nominal 80% band held 80.8% across 302,880 prior cases.

Tool change history

Compared across complete checks of the same configuration. Tools were listed, not invoked. Input-schema changes are not measured here.

No complete tool checks yet.

FAQ

Questions about Chart Library MCP Server

How do I connect Chart Library MCP Server to Claude?: The listing records `claude mcp add chart-library -- chartlibrary-mcp` as its setup step. Run it, then follow the repository's instructions for the client configuration; the listing names Claude Desktop, Claude Code, Cursor as compatible clients.
Is Chart Library MCP Server free?: The listed licence is MIT. Check the upstream terms for permitted use and commercial requirements; a public repository does not by itself mean the software is free or open source. Connected APIs and hosted services may have separate charges.
What can Chart Library MCP Server do?: Chart Library MCP Server documents 16 tools to the agent, including analyze, cohort_analyze, cohort_attribution. The descriptions above come from project documentation. A live handshake does not test individual tool behavior.