"Implementing the functionality of the akshare library" matching MCP servers:

将akshare数据接口转换为MCP工具格式的Python项目

Provides 46 financial data tools for AI assistants covering A-share, HK, US markets, macroeconomics, funds, and derivatives, powered by AKShare.

Provides access to historical financial data for US, Hong Kong, and A-share markets using the AkShare library. It returns formatted stock market data, including prices and trading volumes, in easy-to-read Markdown tables.

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.

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

Provides access to Chinese A-share market financial data, including historical K-line, real-time quotes, financial statements, shareholder information, and technical indicators, via MCP protocol.

MCP server that archives Decent DE1 espresso shots from Visualizer.coffee into SQLite and provides analysis tools for shots, beans, and profiles via MCP.

Enables AI agents to inspect schemas, walk Delta table history, run read-only DuckDB queries, and check data-quality and job-run status safely.

Enables AI agents to inspect, query, test, and safely fix dbt projects and BigQuery warehouses under policy-enforced controls, with read-only direct queries and dbt-only allowlisted writes.

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

The world's first dual-engine Airtable MCP server: programmatic control of both Airtable REST/Metadata APIs and Interface Designer (Dashboards, Kanbans, Column Edit Locks, and Publishing) via Chrome CDP.

AstroFabric is agentic AI for business intelligence. Autonomous AI agents identify the companies, find and verify the people, attach the buying signals, score the fit and deliver finished lists and audiences into the CRM, outreach tools and ad accounts your team already runs. Every workflow carries evidence, approval gates and credit ceilings.

A simple and efficient MCP server that provides Base64 encoding and decoding functionality for both text and images with support for Data URL format.

Creates compact skeleton representations of large JSON files by preserving structure while truncating string values and deduplicating arrays, helping users understand JSON structure without processing the full data payload.

An MCP server that allows users to interact with YNAB data, enabling access to account balances, transactions, and the creation of new transactions through the Model Context Protocol.

Exposes a governed semantic layer to AI agents so they select metrics and dimensions from a closed, engineer-declared vocabulary instead of writing SQL. Validates every typed call against the contract, rejects out-of-contract requests with structured errors and suggestions, and returns query rows together with the compiled SQL and dbt lineage for auditing.

The geospatial toolkit for AI agents. 6 tools, zero config — give any LLM the ability to parse, convert, query, and aggregate spatial data out of the box. Or just make a bounding box :) Every response includes a verification link to vibhorsingh.com/boundingbox so you can visually confirm results on an interactive map.

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.

An MCP server for the Workiva platform that pairs API tools with a knowledge base of confirmed API behavior, automatically attaching fixes to failing API calls, and supporting SQL execution and other Wdata operations.

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