"Automated Chat Service Based on Personalized Text Messaging Style" matching MCP servers:

Enables interactive chat with AI models and document retrieval via the Anthropic API, supporting command-based prompts and MCP tool integrations.

Real-time hydrological information retrieval service that provides water level, precipitation, dam discharge data, and observatory location information.

Provides fast full-text search over a local SQLite mirror of Bitrix24 chat history, enabling AI assistants to retrieve past conversations, context, unanswered questions, and tracked promises without ever writing back to Bitrix.

Transforms Chinese queries into ranked arXiv paper recommendations, with translation and semantic reranking, exposed as an MCP endpoint for AI agent integration.

Enables MCP-compatible AIs to read a user's local three-layer memory of their own typed chat messages, including raw text, conversation summaries, and theme indexes, so responses can be grounded in the user's past decisions and preferences.

MCP server that enables natural-language SQL queries across multiple databases (ClickHouse, Teradata, PostgreSQL, MySQL, SQL Server, DB2, Oracle, MongoDB) with dialect-correct SQL generation, PII masking, and security-by-construction controls.

Provides self-hosted, versioned project memory with full-text and vector search, enabling search, retrieval, upsertion, and history management of project entries via MCP tools.

Enables enterprise knowledge search through a chat interface, comparing traditional RAG with MCP-driven retrieval using hybrid BM25 and dense vector search, Ollama-powered answer generation, and question routing to domain-specific retrieval tools.

Enables AI to automatically search, retrieve, and organize your Cursor chat history across sessions. Supports tagging, nicknames, project-scoped search, and full-text search to maintain context between conversations.

A conversational chat interface that uses RAG over a synthetic test corpus and a domain-knowledge corpus, exposing retrieval via MCP.

A memory layer for AI coding tools that indexes transcripts from Claude Code, Gemini CLI, Codex, OpenCode, and Antigravity into a unified searchable history, providing 52 MCP tools for agents to recall past sessions, search across tools, and write back decisions.

An MCP server that turns the Hugging Face Hub into a conversational model picker with a tool-use eval harness to prove the agent actually uses it correctly.

Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.

Provides real-time and historical cryptocurrency price data from multiple exchanges including Coinbase, Binance, and Kraken. It enables users to fetch prices with customizable parameters such as specific timestamps, time resolutions, and fiat currency conversions.

Connects Claude to Google Chat for searching messages, spaces, and DMs, automatically resolving user IDs to real display names.

Enables Claude to full-text search, list, and read your exported ChatGPT and Claude conversations from a local conversations.json file, running locally with read-only file access and no network requests. Supports both official export formats with automatic detection.

MCP server that translates natural-language questions into SQL, validates every query structurally, and executes approved read-only queries against a SQLite database, returning results and rejections.

This MCP server provides access to over 38 French public data sources. It enables queries on legal, fiscal, real estate, educational, and other administrative information.

This MCP server provides semantic document search and retrieval, enabling AI assistants to search documents, search categories, and retrieve category hierarchies using the Model Context Protocol.

Self-hosted web search and page fetch service using SearXNG metasearch and Scrapling browser rendering, exposing MCP tools for direct agent use.