"ANA" matching MCP servers:

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

Enables managing AI personas, avatars, voices, and sessions from any MCP client, for integration with Anam AI.

A read-only DuckDB MCP server offering context-efficient analytics tools (list_datasets, describe_table, profile_column, explain, query) with a semantic layer for business rules, security guards, and disclosed truncation to help LLMs produce correct answers while minimizing token usage.

Deterministic US equity-compensation tax optimizer. Six tools cover ISO/AMT exercise scheduling, NSO sell-vs-hold, RSU vest-and-sell, single-stock concentration, protective put / zero-cost collar pricing, and Section 1202 QSBS qualification. Federal plus 50-state plus DC tax math.

Lets LLMs rank, compare, and connect actors and movies from local IMDb non-commercial datasets stored in DuckDB, with Wikidata enrichment.

Interprets advanced hockey player cards to translate metrics into plain-language assessments, supporting player evaluation, claim verification, and player comparisons with deterministic rules.

Enables auditing emails for internal contradictions and reporting detected incoherences with literal textual evidence, without issuing a phishing verdict.

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

Connects AI agents to any standard A2A endpoint, with built-in Agent Card validation.

Connects Google Analytics 4 data to Claude, Cursor and other MCP clients, enabling natural language queries of website traffic, user behavior, and analytics data with access to 200+ GA4 dimensions and metrics.

Enables read-only scanning and text extraction from PDF, DOCX, PPTX, SVG, and PNG files in a local folder, providing the raw text to AI models for summarization or analysis without an external LLM API.

Read-only MCP server for Home Assistant that computes statistical summaries, trends, and session detection from recorded sensor history, returning compact tables instead of raw data so small local models can answer questions about energy usage, climate, and appliance activity without token-heavy arithmetic.

Search and retrieve Agent2Agent (A2A) protocol documentation using full-text search and section filtering.

Search and collect data from the National Assembly Library of Korea's OpenAPI (21 DB types) and export to xlsx/csv/json/sqlite.

Enables AI coding agents to perform real-browser accessibility scanning of localhost pages using Playwright and axe-core, returning WCAG 2.1 violations with structured fix plans.

Analyzes public Instagram post URLs, returning captions and photos as image content for multimodal models like Claude, without requiring paid vision APIs.

Provides keyless access to Romanian public economic and cultural data, including exchange rates, company/VAT lookups, open datasets, official statistics, seismic-risk building records, and classified cultural heritage.

Enables AI agents to connect to and play a seat in the Agent Raid co-op boss-raid A2A game, using MCP tools to wait for turns, submit moves, and exchange party chat.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

One-call Australian health and welfare data plumbing via AIHW — cited responses for practical analysis, not a data broker.