"MyLinedChart - Charting Tool or Library" matching MCP servers:

Enables AI agents to index and search across SQLite databases and CSV files to discover table schemas and column metadata. It provides a unified MCP API for data source management and structural exploration through natural language.

Provides cryptocurrency market data using the CoinGecko API

A Node.js-based MCP server that extracts numbers from text and generates statistical chart data such as bar, pie, and line charts based on frequency. It enables AI agents to perform data extraction and visualization tasks through the Model Context Protocol.

Provides stock market data and trading capabilities using the yfinance library

A server that provides tools to scrape websites and extract structured data from them using Firecrawl's APIs, supporting both basic website scraping in multiple formats and custom schema-based data extraction.

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.

A stdio MCP server exposing a validate_emails tool that lets agents screen email lists without sending mail or probing SMTP, checking syntax, DNS/MX records, disposable domains, role accounts, free providers, typo suggestions, and SPF/DMARC. Each address comes back with a valid/risky/invalid/unknown verdict plus machine-readable reason codes so agents can clean leads and signups before outreach or import.

MCP server for Formula 1 data via the FastF1 library. Ask Claude (or any MCP-compatible client) about race results, lap times, telemetry, standings, pit stops, and qualifying — with historical data back to 1950 via the Ergast API.

A Model Context Protocol tool that retrieves daily stock market data for any stock symbol using the Alpha Vantage API.

A financial data server that provides real-time and historical data for A-shares, Hong Kong, and US markets using the AkShare library. It enables users to query market quotes, fundamental information, and technical indicators through the Model Context Protocol.

Enables Claude, Cursor, or any MCP-compatible client to query Apache Kafka topics, consumer groups, schemas, and cluster health in natural language, served from your own self-hosted instance. Access is read-only and inherits the token holder's existing RBAC, so only metadata reaches the model unless a capped message-reading tool is explicitly used.

Enables AI assistants to read a verified household financial record across linked accounts, including holdings, transactions, fees, performance, cash flow, advisors, diagnostics, and score findings. It can also refresh connections and manage manually tracked assets or liabilities inside the service, but cannot move money or place trades at financial institutions.

Exposes 250+ financial data tools across 24 categories, letting AI assistants retrieve and analyze stock quotes, company fundamentals, financial statements, technical indicators, ETFs, crypto, forex, commodities, and economic data through the Financial Modeling Prep API. Supports dynamic or pre-loaded toolsets over HTTP/SSE, with hosted or self-hosted deployment.

Connects an AI agent over Streamable HTTP to a workspace so it can read datasets, contracts, runs and receipts, and, when the owner permits, create fields and value sets, start runs and publish releases — while each deployed tool is also served as its own endpoint whose schema is generated from the owner's contracts. Every value comes with a receipt and safety exclusions are enforced in the query, with sensitive actions like approving review items or publishing past the accuracy gate reserved for a person.

Enables agents to synchronize, merge, and reconcile distributed state across nodes using conflict-free last-write-wins element sets with Lamport/vector-clock causality, token-bucket gossip dissemination, and quorum-based commit coordination. It runs entirely on the Python standard library and exposes these primitives to Claude Desktop, Cursor, and Windsurf over the MCP JSON-RPC stdio protocol.

MCP server providing a single query tool to execute SQL against GetDot Database, enabling schema discovery, data loading, and querying via natural language.

An MCP server and Go library that connects AI assistants to DataHub metadata catalogs, enabling dataset search, schema exploration, lineage tracing, and glossary access.

Provides an isolated MCP gateway for SynapXnet AIOps, DataOps, and MLOps evidence-to-remediation workflows, with OAuth validation, scoped tool discovery, persistent approvals, and audit tracking.

Enables AI agents to query Mixpanel event data, funnel conversion rates, and retention cohorts via MCP tools or natural language.

Enables users and AI agents to reconcile CSV bank statements against invoices or bills by matching amounts and references, then sorting each line into matched, likely, review, or unmatched groups with reasons. It exposes read-only tools for matching files and inspecting detected CSV columns and row counts.

A Model Context Protocol (MCP) server for LakeXpress — a database to Parquet export tool with sync management and data lake publishing.

Enables AI agents and LLM clients to securely query and write PI time-series archives, AF asset databases, elements, attributes, and summaries through standard tool calls, with optional off-by-default tools for building and maintaining AF structures and dry-run modifications.

Enables generation of various chart types (bar, line, pie, scatter, radar, heatmap, and more) using ECharts library, returning preview URLs to visualize data through natural language requests.

Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool

Drives Lumen's data-to-SQL-to-chart-to-report loop from any MCP client, supporting keyless SQL and charting or keyed agentic data analysis.

An interactive tool for visualizing and managing budget allocations across business categories with real-time charts and industry benchmarks. It allows users to adjust spending distributions and compare them against historical trends and startup stage data.

A versatile tool that enables querying and exporting data from multiple relational databases (MySQL, PostgreSQL, Oracle, SQLite, etc.) in read-only mode for data safety.

Enables agents to explore a project's captured events and properties, then run trend, funnel and retention analyses and create or list saved insights. Tools are model-oriented, returning trimmed, budgeted results and actionable errors, with the project resolved from the API key or bearer token rather than passed as an argument.

Enables AI agents and MCP clients to heuristically parse multi-column document dumps, aligned spacing, and CSV/TSV input, converting them into clean GitHub Flavored Markdown tables and typed JSON. Runs fully offline on the Python standard library with zero external dependencies, returning deterministic results without LLM round-trips.

A Model Context Protocol server that enables Claude Desktop to access and analyze Chinese and global financial market data through the AKShare library.