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PopNx MCPMCP servers for people who use AI · explained in plain words

Chart Library — Market-state research

by grahammccainversion 6.3.3i★ –iComputer or cloud
Registry nameio.github.grahammccain/chart-library

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Computer or cloud
  • Transport: stdio, Streamable HTTP
  • Category: Search & AI memory
  • You need to fill in: CHART_LIBRARY_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • You fill in yourself: CHART_LIBRARY_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • Runs in the cloudNothing to install; it connects over the internet
  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://chartlibrary.io/mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "chart-library": {
      "command": "uvx",
      "args": [
        "chartlibrary-mcp"
      ],
      "env": {
        "CHART_LIBRARY_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

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

Or run it on your computer

claude mcp add chart-library --env CHART_LIBRARY_API_KEY=your-value -- uvx chartlibrary-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "chart-library": {
      "command": "uvx",
      "args": [
        "chartlibrary-mcp"
      ],
      "env": {
        "CHART_LIBRARY_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "chart-library": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "chartlibrary-mcp"
      ],
      "env": {
        "CHART_LIBRARY_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://chartlibrary.io/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • CHART_LIBRARY_API_KEY secret env
    Optional API key. Public research works without authentication; service limits apply.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account grahammccain, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7248 servers in this category
  • Published to the registry more recently than 41% of the other 7248 servers in this category
  • Basic checks equal to or better than 100% of the other 7248 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Chart Library — Market-state research safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: CHART_LIBRARY_API_KEY

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (6.3.3) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Chart Library MCP

Market memory for AI, with published research for agents and people.

Version 6.3.3 marks failed public tool calls as MCP errors while preserving their structured recovery details. Invalid requests explain how to correct the inputs; stale publication versions retain instructions to restart from the current overview. Successful response schemas and direct Python calls remain compatible.

Five read-only tools

ToolInputResult
market_stateSymbol; optional dateCompleted-session state, historical analogs, outcome ranges, transition memory and tape
daily_noteOptional datePublished daily research, selection rule and settled-note tally
research_qualityNonePublished calibration receipt, dated sample and qualifications
search_researchQuery; optional kind, limit and offsetRelevant publications, IDs, findings, sample receipts, limitations and versions
read_researchResearch ID; optional section, offset and versionOverview or an exact source document, with pagination and hashes

Market-state requests need no preliminary search or cohort handle. For published research, search for an ID, then read its evidence.

Example question: “Read AAPL's latest completed-session state. Report the historical analog ranges, sample sizes, session date and limitations.”

Omitting date uses the latest built/published session, not a real-time quote. Dates use YYYY-MM-DD. Missing or thin evidence stays missing or thin.

Connect

The primary remote endpoint is https://chartlibrary.io/mcp, using Streamable HTTP and no authentication.

For a command-based client, install or upgrade the package:

python -m pip install --upgrade chartlibrary-mcp

Then use the equivalent of this configuration in your MCP client:

{

"mcpServers": { "chartlibrary": { "command": "chartlibrary-mcp" } } }

No API key or server-side Python packages are required. An optional CHART_LIBRARY_API_KEY is forwarded as a Bearer token when set. An empty key does not send an Authorization header. CHART_LIBRARY_API_URL can select your own compatible endpoint; only point it at a server you trust with that key.

Python 3.10+ is required. This release uses the MCP 1.x FastMCP interface and pins mcp>=1.28.1,<2.0.0; MCP 2.x is a separate migration.

The equivalent HTTP calls

curl "https://chartlibrary.io/api/v1/state-packet?symbol=AAPL"

curl "https://chartlibrary.io/api/v1/daily" curl "https://chartlibrary.io/api/v1/calibration"

Use only the call relevant to the question. For a historical state add &date=YYYY-MM-DD. Daily REST requests call the date parameter session.

Research workflow

search_research(query="IONQ noon", kind="casebook")

read_research(research_id="casebook:ionq-noon", section="article", version="FULL_VERSION_FROM_SEARCH")

Replace FULL_VERSION_FROM_SEARCH with the full 64-character version from the chosen search result. Updated servers supply documents[section].read_arguments directly; copy those into the tool and follow content.next_read until null. With earlier servers, pass the returned version and next_offset explicitly. Omitting the optional version reads the current publication without checking it against earlier responses. A changed version returns an error explaining how to restart from the current overview; the client does not retry automatically.

Search summaries are discovery metadata, not a source read. Read available guides and relevant limiting findings before making claims. Keyword search ranks document relevance, not market similarity or evidence strength. A partial result means a publication source was unavailable. Withdrawn articles cannot be read. Publication dates and market cutoffs differ; the noon IONQ case must not be merged with completed-session state analogs.

Complete IONQ example · Agent research plan

Read the evidence accurately

  • Preserve dates, sample sizes, informative receipts, warnings and provenance.
  • State-packet excess returns are percentage-point observations relative to a date-matched liquid-stock baseline. Each horizon has its own observed n.
  • Raw historical percentiles are not automatically calibrated forecasts.
  • research_quality audits only the method and population its receipt names. Do not transfer its coverage percentage to every market state or all research.
  • Daily research has its own selection rule and settled-note tally.
  • Historical frequencies are not recommendations to buy or sell.

Research access is free. Service limits and underlying data terms still apply. Honor HTTP 429 and retry guidance; do not assume unlimited throughput.

Existing integrations

Existing tool names stay registered and callable, including pull_comps, search, state_packet, and the cohort inspection tools. To discover the extended menu in a local client, set CHART_LIBRARY_MCP_PROFILE=advanced. This changes discovery, not authorization or access to private research.

The public menu does not expose private fund operations or every experimental state-memory method. Legacy examples in examples/ use the advanced interface.

Build with us

For a custom integration, a larger study, or a product built on the memory, contact Graham McCain — [graham@chartlibrary.io](mailto:graham@chartlibrary.io).

Developer guide · Methodology · Data terms · Privacy

Local verification

python -m pytest test_vendor_import.py

The import smoke runs without an API key and without application services/ or db/ packages. No package or registry publication is performed by tests.

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