"A server for retrieving data on Indian legal cases" matching MCP servers:

Enables MCP clients to manage Tines cases via the Cases v2 API, supporting create, read, update, close, and comment operations. Runs in a container via podman/docker and defaults to read-only for safety.

MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.

An MCP server exposing Indian market and regulatory data from official sources (NSE, NIFTY, AMFI, SEBI), providing tools for end-of-day quotes, index constituents, mutual fund NAVs, and SEBI order searches with a focus on primary sources and no fabricated data.

An MCP server for Indian legal work that enables case-law research with verified citations, limitation and deadline calculations, legal document drafting, matter tracking, and contract search.

Verifies legal citations by fetching the exact, in-force wording of cited articles from official PL and EU legal sources, preventing hallucination by returning verbatim text.

A comprehensive MCP server for the Indian stock market, providing 68 tools for stocks, derivatives, mutual funds, commodities, and more without any API keys.

Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.

A remotely callable MCP server for US legal research that provides tools to search, retrieve, and analyze US case law from the CourtListener API, enabling agents to build evidence packs from primary sources without generating legal content.

Enables AI assistants to access Indian Vedic astrology services including Panchang, Kundli, matchmaking, and festivals through natural language.

MCP server for legal research that enables searching US case law via CourtListener, retrieving full opinion text, and looking up legal definitions from Cornell's Wex. Students can connect via a remote connector in Claude.ai to cite real, free legal sources.

A production-ready template for developing Model Context Protocol (MCP) servers using Python and FastMCP.

Enables AI assistants to search and analyze German legal texts using vector embeddings and semantic search.

Provides read-only MCP tools to look up Indian listed companies by symbol, name, sector, and aliases, retrieve verified official X handles, and access the defence/aerospace research universe.

Enables real-time and historical Indian stock market data retrieval, including prices, news, recommendations, and top gainers/losers.

A Model Context Protocol server for legal document search and retrieval, powered by Azure Cosmos DB and Voyage AI embeddings, exposing 12 tools for semantic search, keyword search, Bates number lookup, claim-specific queries, and statutory citation search over a corpus of vectorized legal documents.

Provides comprehensive tools for searching UK case law, legislation, parliamentary Hansard debates, and HMRC tax guidance. It features a specialized OSCOLA citation parser to extract and resolve legal references directly from text.

MCP Server providing AI agents access to over 3 million US court decisions via CourtListener and EU legislation via EUR-Lex, with tools for searching cases, citations, judges, and court information.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

The MCP server for Divine API's Indian Astrology services, allowing AI assistants to query Vedic astrology data such as Panchang, Kundli, and matchmaking through natural language.

Semantic and exact retrieval over 22M Taiwan court judgments with built-in citation guardrails — bundles carry a read-whitelist so downstream models cannot cite judgments whose reasoning was never read. Also provides exact lookup of administrative interpretations with lifecycle status (repealed / superseded / unverified).