Pine Script v6 Documentation

Pine Script v6 documentation lookup, function validation, and linting for AI code generation

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Pine Script v6 documentation lookup, function validation, and linting for AI code generation

    How to connect

    How to connect Pine Script v6 Documentation to Claude

    The server address to paste into Claude settings:

    https://pinescript-mcp.fly.dev/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect Pine Script v6 Documentation to ChatGPT

    The server address to paste into ChatGPT settings:

    https://pinescript-mcp.fly.dev/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect Pine Script v6 Documentation to Cursor

    The server address to paste into Cursor settings:

    https://pinescript-mcp.fly.dev/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (10)

    Raw names from tools/list. Only developers need these.

    list_docsUSE WHEN discovering what Pine Script v6 documentation is available. Returns a categorised list of doc file paths with one-line descriptions. AFTER calling this tool, call get_doc(path) for small files or list_sections(path) then get_section(path, header) for large files (ta.md, strategy.md, collections.md, drawing.md, general.md). Data sourced from bundled Pine Script v6 documentation.
    list_sectionsUSE WHEN navigating a large documentation file before reading a specific section. Returns a newline-separated list of # and ## headers (### excluded) in the file. AFTER calling this tool, call get_section(path, header) with a header from this list. Data sourced from bundled Pine Script v6 documentation.
    get_docUSE WHEN reading the full content of a Pine Script v6 documentation file. Returns the file content; when limit is set, a header shows the char range and offset to continue reading. AFTER calling this tool, use offset=<end> to continue if the header indicates more content is available. For large files (ta.md, strategy.md, collections.md, drawing.md, general.md), prefer list_sections() + get_section() instead. Data sourced from bundled Pine Script v6 documentation.
    get_sectionUSE WHEN reading a specific named section from a Pine Script v6 documentation file. Returns the section content from the matched header to the next same-level header, with file path and line range. AFTER calling this tool, call list_sections(path) if the header was not found, or get_section() again with a child header for a narrower subsection. Data sourced from bundled Pine Script v6 documentation.
    search_docsUSE WHEN finding documentation sections that match specific terms across all Pine Script v6 docs. Returns up to max_results sections ranked by match count, each with a preview and a get_section() call hint. AFTER calling this tool, call get_section(file, header) for each result you want to read in full. Data sourced from bundled Pine Script v6 documentation.
    get_functionsUSE WHEN browsing valid Pine Script v6 functions, optionally filtered to a namespace. Returns function names grouped by namespace (e.g. ta.*, strategy.*) or filtered to the requested namespace. AFTER calling this tool, call validate_function(fn_name) to check a specific name, or get_section() to read its documentation. Data sourced from bundled pine_v6_functions.json.
    validate_functionUSE WHEN confirming a Pine Script v6 function name is valid before using it in code. Returns a valid/invalid verdict with namespace suggestions or known replacement hints (e.g. ta.adx → ta.dmi, security → request.security). AFTER calling this tool, call get_functions(namespace) to list all valid functions in the relevant namespace if the function is invalid. Data sourced from bundled pine_v6_functions.json.
    resolve_topicUSE WHEN looking up an exact Pine Script API term or known concept keyword. Returns the best-matching doc paths with matched keywords and a retrieval suggestion (get_doc or list_sections + get_section). AFTER calling this tool, follow the suggestion: call get_doc() for small files or list_sections() + get_section() for large files. For natural language questions use search_docs() instead. Data sourced from bundled TOPIC_MAP and doc file content scan.
    list_promptsList all available prompts. Returns JSON with prompt metadata including name, description, and optional arguments.
    get_promptGet a prompt by name with optional arguments. Returns the rendered prompt as JSON with a messages array. Arguments should be provided as a dict mapping argument names to values.