"How to use Canva" matching MCP servers:

Enables agents to reconcile piping material take-offs against Plant 3D SCSA exports by previewing diffs and applying quantity corrections, insertions, and gated removals with dry-run and explicit confirmation flags.

Convert PDFs to structured JSON. Extract invoices, bank statements, contracts, and more. Pay per call via x402 USDC.

Offline-first MCP server for TwitterAPI.io docs (endpoints, pages, blogs) with fast fuzzy search.

Enables AI assistants to search multiple tech job boards at once, summarize what the market is asking for, and rank postings by how well they match a user's own skills.

A Model Context Protocol (MCP) server that enables MCP clients like Claude Desktop to interact with protocols.io, a popular platform for sharing scientific protocols and methods.

The Excel to JSON MCP provides a standardized interface for converting Excel and CSV data into JSON format using the Model Context Protocol.

A Model Context Protocol (MCP) server that provides comprehensive cryptocurrency analysis using the CoinCap API. This server offers real-time price data, market analysis, and historical trends through an easy-to-use interface. Updated to use Coin Cap API v3

The JSON to Excel MCP provides a standardized interface for converting (1)JSON data (2)URL pointing to JSON files into CSV format

Converts JSON data to TOON (Token-Oriented Object Notation) format and back, reducing token usage by 30-60% for more efficient LLM applications.

Enables users to review a supplied batch of supplier invoices or vendor bills for repeated references, normalized reference variations, and identical amount-and-date candidates, returning grouped evidence and exact review reasons from local history. Supports saved reports, CSV export, and use with MCP clients such as Claude Desktop, Claude Code, and Cursor.

A read-only MCP server that exposes dbt project artifacts and data quality result tables (BigQuery/Postgres) to LLM clients, enabling deep introspection, run-history analysis, source freshness, test coverage, and lineage walks.

Local-first Taiwan market evidence workbench for AI agents with persistent Watchlists, governed MCP, auditable evidence, and explicit execute-once retrieval. GitHub Repository URL

Enables AI agents to query self-hosted product analytics, investigate changes with evidence and coverage checks, and use optional management tools for saved reports, goals, and keys.

Enables agents to transform tabular Markdown content into structured, type-inferred records with normalized formatting through an MCP-compatible interface.

Provides auto-scalable management with priority-based scheduling for everyday use.

Enables MCP-capable agents to inspect, validate, search, and manage Apache Hop pipelines and workflows, with guarded editing, backup, and optional local or Hop Server execution.

Enables analyzing sales and stock CSV files to identify what to reorder, how much to buy, when products will run out, and how much inventory is tied up in dead stock. Provides read-only inventory checks and CSV column inspection without uploading data.

Enables AI assistants to search, screen, and analyze all 8,200+ NSE and BSE listed stocks with live quotes, financials, a 326-ratio screener, technical indicators, FII/DII flows, option chains and IV, corporate filings, IPOs, bulk deals, and portfolio P&L. It connects to clients such as Claude, ChatGPT, Cursor, VS Code, Codex, and Gemini CLI over either a remote OAuth endpoint or a local npx/uvx bridge.

An open-source MCP server that imports HR CSV data into an in-memory SQLite database for structured querying and metadata retrieval. It enables users to perform read-only SQL queries and structured searches on employee data through natural language.

Generates a random number between 1 and 10 using the StupidAPIs service. Part of the Pipeworx MCP gateway providing access to 673+ data sources.

Enables employees to ask natural-language questions about a client's dbt semantic layer through the chatbot they already use, asking for clarification when needed, refusing when data can't answer, and logging every interaction so the semantic layer improves over time.

Enables normalizing arbitrary Excel spreadsheets with varied headers into 19 canonical fields and clean JSON, with optional LLM disambiguation and offline fallback. Exposes MCP tools for use in Claude, Cursor, and Windsurf.

Enables Claude to list Iceberg tables and run read-only DuckDB SQL queries, including time travel by snapshot, with per-caller token authentication and audit logging.

Enables Claude to answer plain-English metric questions by selecting validated metrics, dimensions, filters, and dates from a MetricForge semantic layer, ensuring answers use only controlled definitions and never model-written SQL.

Enables AI agents to convert CSV text into JSON arrays with automatic delimiter detection and optional header-row handling, accessed through a pay-per-call x402 micropayment API.

Enables Claude to connect over OAuth and use tools for reading-history questions, editing the reading log, running and inspecting syncs, and requesting books through Chaptarr.

Converts eFax documents (PDF, TIFF, CCD XML) from OpenText Fax Server Software into structured JSON format with OCR support, metadata extraction, and batch processing capabilities.

Query Brazilian Federal Revenue (Receita Federal) tax situation data from official sources via a single read-only tool, hosted and billed per use.

Enables AI agents to reverse-engineer how an organization actually operates by ingesting documents, spreadsheets, chat exports, invoices and audio, then tracing every claim back to graded evidence. It supports process mining, stated-vs-enacted comparison, coverage and obligation tracking, and bilingual report generation while keeping unproven areas explicitly flagged as unknown.

Enables users to look up how specific v2 fields, datatypes, and table codes translate to R4, and to convert whole ORM, ADT, and ORU messages into transaction Bundles with explicit warnings for unmapped values.

An implementation that integrates with Odoo ERP systems, enabling AI assistants to interact with Odoo data and functionality through the Model Context Protocol.

Enables AI agents to convert messy CSV/TSV, JSON/NDJSON, Excel, SPSS, Stata, SAS, and digital-PDF tables into clean typed zstd-compressed Parquet, then inspect, preview, and query the results with sandboxed read-only DuckDB SQL, including joins. Calls are paid per successful use in USDC via x402 without signup or API keys.

Enables AI agents to rank US healthcare organizations for clinical trial site feasibility, predicting patient accrual for a Graves' disease protocol using claims and registry data.

Enables AI clients to ask quantitative questions about any continent's economy, answering with live reconciled GDP, population, per-capita, ranking, and historical FX conversion figures pulled from three public APIs at query time. Every judgment call—which countries count, how missing years are handled, which currency and FX date—is exposed as a parameter, and the server reports exactly which rows it excluded, why, and where each number came from.

Answers whether a route ran late and by how much, with drill-down into individual trip delays and an audit trail of data-quality exclusions and duplicate resolutions.

Enables MCP clients to download, store, and query end-of-day Indian Futures & Options bhavcopy data in DuckDB, including contract history, OHLC, volume, open interest, and OI movers.

Enables users to run lead searches, poll asynchronous jobs, retrieve enriched and scored leads, and perform search-and-wait workflows through MCP tools that accept each caller's own API token per call. It supports remote streamable-http use, allowing safe sharing without server-side shared credentials.

Tracks buying and momentum signals for companies, such as funding rounds, senior hires, office openings, customer wins, and partnerships, with each event carrying its date.

Deterministic encode, decode, hash and convert for agents, on the same pipeline engine as the String Utility Belt web app, CLI and editor extensions: a pipeline built and checked in the browser runs unchanged from its share link. Base64/hex/URL, JWT, hashes, JSON/YAML/CSV/XML, dates and regex; tools to search, describe and run utilities or whole pipelines, and to detect input formats. Runs locally

Enables clients to interact with PipesHub data and functionality through MCP, including chat, search, record retrieval, directory browsing, sources, and agents.