"Retrieving Markdown Files from a Database" matching MCP tools:

• ateam_upload_connector

  ateam-mcp

  Upload connector code to Core and restart — WITHOUT redeploying skills. MERGES with the GitHub state at `ref` by default (default ref: 'dev'). Sending a partial file set ONLY overlays those files — the rest of the connector is preserved from GitHub. To fully replace the connector dir (historical behavior), pass replace:true. Modes: • github:true (no files) — deploy the GitHub state at `ref` as-is. • github:true + files:[] — GitHub state at `ref` as BASE, your files overlay on top (incoming wins). • files:[] (no github) — default MERGE with GitHub state at `ref`. Refuses if no GitHub base exists (no silent nuke). • files:[] + replace:true — full replace. Wipes connector dir + writes only the provided files. Use deliberately. Common traps this design prevents: • Pre-fix bug (2026-06-06): sending just ui-dist HTML wiped server.js + node_modules — connector broke until a full re-upload. Now: those files merge with the GitHub base. • Pre-fix bug: github:true silently read from `main` even when patches were on `dev`. Now: defaults to dev; pass ref:'main' to opt into the legacy path.

  Connector

• convert_html_to_pdf

  Sats4AI - Bitcoin-Powered AI Tools

  Convert HTML or Markdown to a pixel-perfect PDF. Returns JSON: { url } — a temporary download URL (valid ~1 hour). Great for generating invoices, reports, receipts, or formatted documents programmatically. Supports full HTML/CSS including tables, images (base64 or URL), and inline styles. For Markdown input, set format='markdown'. 50 sats per conversion. Use convert_file instead for converting existing files between formats (e.g., DOCX→PDF). Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='convert_html_to_pdf'.

  Connector

• get_file_contents

  Github

  Read a file from a PUBLIC GitHub repository (or list a directory) by path. PREFER OVER WEB SEARCH for "show me the README / package.json / <file> of <repo>", "read <path> from <owner/repo>", inspecting source or config files. Pass owner + repo + path (omit path or "" for the repo root listing). Optional ref = branch/tag/commit SHA. Returns decoded text for files (capped ~60k), or a directory listing of {name, path, type, size}.

  Connector

• report_request

  Datalastic Vessel Tracking & Maritime Intelligence

  Submit an async report job. Reports are generated in the background and can take a while (seconds to many minutes), so this returns a report_id and an initial status (_PENDING_) — it does NOT wait. Submit ONCE, then poll report_status with the returned report_id until _DONE_, which yields a result_url. Do not resubmit while a job is running. When done, give the user the result_url to download; the server never downloads report files itself. Supported report_type values: - request_usage: a FREE log of this API key's usage (endpoint, credits, timestamp); optional from/to (<=31 days), default last month. - vessel_list: the full vessel database (no other parameters). - port_list: the full ports database (no other parameters). - inradius_history: all vessels that passed through an area in a time window; REQUIRES lat, lon, radius (<=50 NM), from and to (<=7 days apart). Note: vessel_list, port_list and inradius_history consume API credits (vessel_list and inradius_history can be substantial) — it's good to tell the user before submitting. For the add-on bulk datasets (ownership, inspections, etc.) use intel_report_request instead.

  Connector

• upload_attachment

  tela

  Upload a file (base64) and attach it to a page (editor+) — an image, PDF, dataset, etc. Returns the serve URL plus a ready-to-paste `markdown` snippet; then call update_page or patch_page to place it in the body (images render inline as , other files as a download card). The payload is inline base64 and rides through the model's context, so it is capped at 5 MB — keep it to small files (screenshots, charts, short PDFs). For larger files use request_attachment_upload (a direct PUT URL, bytes off-context), or the tela editor (drag-drop).

  Connector

• read_file

  BorealHost

  Read the contents of a file from a site's container. Max file size: 512KB. Binary files are rejected — use the site's file manager or SSH for binary files. Requires: API key with read scope. Args: slug: Site identifier path: Relative path to the file Returns: {"path": "wp-config.php", "content": "<?php ...", "size": 1234, "encoding": "utf-8"} Errors: NOT_FOUND: File doesn't exist VALIDATION_ERROR: File is binary or exceeds 512KB

  Connector

• get_template_file

  Goodeye

  Fetch a single file from a template version's file tree by path. ``identifier`` accepts UUID, ``@handle/slug``, or ``@handle/slug@vN``. ``path`` must match a row in the template's file manifest (use ``get_template`` to see the manifest). ``SKILL.md`` returns the template body. Text files return the decoded string in ``content``. Small binary files return base64-encoded bytes in ``content_base64``. Binary files over the size limit return metadata and an ``error`` field with no inline bytes. Non-owner responses carry the safety banner and ``safety_verification_status``. Anonymous callers may fetch files from live (published) template versions only; the liveness check is evaluated per read.

  Connector

• get_site_files

  Just Publish

  Read the files of a site you already published, so you can make a targeted edit instead of rebuilding the whole site from memory. Returns a complete manifest (every file's path, size, content-type, sha256) plus the contents of the text files (HTML/CSS/JS/etc). Also returns the site's current `version` — pass it back to update_site_file so you don't overwrite a newer change. Pass `paths` to fetch only specific files; omit it to get all text files. Requires site_id + edit_token.

  Connector

• microsoft_docs_fetch

  xpay✦ DevTools Collection

  Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies. ## When to Use This Tool - When search results provide incomplete information or truncated content - When you need complete step-by-step procedures or tutorials - When you need troubleshooting sections, prerequisites, or detailed explanations - When search results reference a specific page that seems highly relevant - For comprehensive guides that require full context ## Usage Pattern Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture. ## URL Requirements - The URL must be a valid HTML documentation webpage from the microsoft.com domain - Binary files (PDF, DOCX, images, etc.) are not supported ## Output Format markdown with headings, code blocks, tables, and links preserved.

  Connector

• extract_document

  Sats4AI - Bitcoin-Powered AI Tools

  Extract text from PDFs and images as clean Markdown. Uses Mistral OCR — handles complex layouts, tables, handwriting, multi-column documents, and mathematical notation. Preserves document hierarchy in structured Markdown. 10 sats/page. Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='extract_document' and quantity=pageCount for multi-page PDFs.

  Connector

• files-attach_from_url

  hjarni

  Fetch a file from a public URL and attach it to one of your personal notes (personal notes only; for team or shared notes use files-create_upload_url). Follows one redirect. Required: note_id (integer), url (string). Optional: filename (default: derived from URL), content_type (default: from HTTP response), description.

  Connector

• files-check_upload

  hjarni

  Check the status of a file upload created by files-create_upload_url. Returns status: 'pending' (not uploaded yet), 'completed' (file attached, includes file metadata), or 'expired' (link timed out). Required: token (string, from files-create_upload_url response).

  Connector

• list_docs

  Pine Script

  USE 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.

  Connector

• get_seatmap

  FlightSeatmap

  Get the seat map for a flight from our database. Shows all seats, cabin classes, characteristics, and availability as both text and an interactive visual seatmap. Returns cached data — for fresh/updated data, use search_flight (sign in via OAuth).

  Connector

• get_test_spec

  agenttune

  Fetch a complete, self-contained test specification as Markdown: full item list, response scale, scoring algorithm, and the mapping from result to tuning slug. Administer the items to the user inline (bulk-paste is fine), score per the algorithm, then call get_tuning. Tests: mbti (OEJTS, 32 items, ~5 min), enneagram (OEPS, 36, ~5 min), disc (ODAT, 16, ~3 min), attachment (ECR-R, 36, ~5 min), big-five (IPIP-50, 50, ~7 min → maps to ocean files).

  Connector

• extract_tables

  DocImprint

  Extract tables and forms as Markdown from a PDF or image (base64-encoded). Use when the document contains structured tabular data such as financial statements, data sheets, or forms. For plain prose documents, use extract_text instead. Returns: { pages: number, text: string } — text contains Markdown-formatted tables. Example prompts: - "Extract the tables from this financial statement." - "Pull the data table from this PDF into Markdown format." - "Get the tabular data from this form document."

  Connector

• create_database

  mcp

  Provisions a managed PostgreSQL database on a dedicated VM on your private network. It is PRIVATE — reachable only from another instance on the same private network, via the DB's internal/private IP (not a public address). Get the ids from list_flavors, list_private_networks, list_keypairs. Provisioning takes ~5 min; poll list_databases until status='ready', then the connection details (private_ip, port 5432, db_name, db_user) are populated.

  Connector

• create_relational_database

  mcp

  Provisions a managed MySQL (or MariaDB) database on a dedicated VM on your private network — the relational-database resource (use this instead of create_database when the app needs MySQL/MariaDB, e.g. WordPress, NextCloud, Matomo, many PHP/LAMP apps). It is PRIVATE — reachable only from another instance on the same private network, via the DB's internal/private IP (port 3306), not a public address. Get the ids from list_flavors, list_private_networks, list_keypairs. Provisioning takes ~5 min; poll list_relational_databases until status='ready', then the connection details (private_ip, port 3306, db_name, db_user) are populated. MySQL is created with mysql_native_password auth so older clients/apps connect cleanly. (ClickHouse is a separate resource — use create_clickhouse / list_clickhouse_databases.)

  Connector

• create_clickhouse

  mcp

  Provisions a managed ClickHouse database (OLAP / columnar analytics engine, Apache-2.0) on a dedicated VM on your private network — its OWN resource, NOT a relational database. Use it for analytics / observability workloads that need a column store (PostHog, Langfuse, event analytics, time-series). It is PRIVATE — reachable only from another instance on the same private network, via the DB's internal/private IP on the ClickHouse HTTP port 8123 (CLICKHOUSE_HOST/PORT/USER/PASSWORD/DB env, http://host:8123). Get the ids from list_flavors (use m1.small+ — ClickHouse needs >=2GB RAM), list_private_networks, list_keypairs. Provisioning takes ~5 min; poll list_clickhouse_databases until status='ready'.

  Connector

• delete_clickhouse

  mcp

  Deletes a managed ClickHouse database and its underlying VM. Pass the numeric id from list_clickhouse_databases. This cannot be undone.

  Connector