"address validation" matching MCP servers:

Stores and retrieves personal information fields securely, allowing Claude to access your name, address, email, and professional details without re-typing them.

An MCP server that gives AI agents persistent, narrative memory: concepts as nodes, relationships as typed "because" edges, so anything filed can be pulled back by association rather than by address.

Enables querying and analyzing Danish legislation, including search, citation validation, currency checks, and EU law integration, directly from AI assistants.

Safe MCP server bootstrap for Outline Wiki providing connection validation, capability reports, and diagnostics in a read-only, agentic mode.

MCP server exposing SPARQL query functionalities for LLMs, enabling query execution, validation, and graph exploration across SPARQL endpoints.

A comprehensive Model Context Protocol server that integrates Elasticsearch search with file operations, document validation, and version control to transform AI assistants into powerful knowledge management systems.

Enables cryptographic chunk hashing, reverse claim-to-source attribution, clearance boundary validation, and provenance audit trails for enterprise knowledge graphs to combat hallucinations.

This MCP Server bridges Egonex-AI/Understand-Anything with Claude Desktop and other MCP clients, giving LLMs native access to full-codebase structural graphs, architecture analysis, and CI/CD validation.

Enables AI coding agents to access evidence-backed repository memory, code graph, project DNA, and deterministic change validation so they understand design decisions, past bugs, and invariants while working.

Provides knowledge graph functionality for managing entities, relations, and observations in memory with strict validation rules to maintain data consistency.

Centralized agentic memory and MCP gateway for LLMs, enabling persistent memory recall, validation, and integration with upstream MCP servers.

Provides long-term memory for chatbots through a TinyDB-backed MCP server. Enables storing, searching, and managing JSON records with schema validation without requiring external databases.

Enables an AI assistant to manage a local address book, including searching people, retrieving details, logging interactions, creating reminders, and merging or deleting contacts via a set of 12 tools.

Provides source-backed design context, route card validation, contract generation, critique and verification reports, evidence packages, Penpot change plans, and anti-repeat checks for design workflows. Does not directly mutate Penpot, but consumes read-only Penpot snapshots.

AI-powered qualitative research analysis server that provides 20 specialized tools for coding, thematic analysis, theory building, and validation using community-contributed methodologies through RAG-enhanced analysis.

Cadastre is an address book and rulebook for infrastructure, giving people and AI agents a single place to query facts about servers, services, networks, domains, repositories, and deployment policies, with provenance and trust signals.

Enables AI coding tools to turn a list of links into a verified, browsable knowledge base with grounded summaries via MCP tools for update, validation, and enrichment.

Enables AI agents to securely search and ingest corporate documents via MCP, offering hybrid retrieval, PII sanitization, role-based access control, and citation validation.

Enables AI agents to synthesize and update hierarchical episodic and semantic user profile memory graphs through MCP, using deterministic zero-dependency Python processing with JSON Schema validation.

MCP server for querying versioned C2PA specification knowledge graphs, enabling AI agents to browse entity definitions, validation rules, and version diffs via natural language.