"AI-powered travel planning and booking assistant" matching MCP servers:

Enables chat, document search (RAG), and a declarative SQL tool builder over MCP so any client can use these capabilities.

Enables secure execution of Python code, SQL queries, and metric fetching through MCP with ephemeral Docker sandboxing.

MCP server exposing a PostgreSQL booking datastore to MCP clients, enabling read/write operations on staff, schedules, clients, and bookings with optional human-approval workflow integration.

Enables AI-powered interaction with Metabase instances and PostgreSQL databases through natural language. Creates models, SQL queries, metrics, and dashboards using both Metabase API and direct database connections.

Enables read- or write-scoped access to synthetic enterprise orders, inventory, support tickets, and metrics via schema-validated JSON-RPC tools over stdio and HTTP, with permission allow-lists and audit logging. It also exposes enterprise resources and prompt templates for grounded, cited, multi-step assistant workflows.

A read-only MCP server that enables AI agents to inspect specified local WeChat conversations under a controlled read budget and draft replies and files for review. It also supports exporting Windows WeChat chats and connecting through a Docker MCP gateway.

Exposes a single HTTP endpoint that aggregates tool definitions from GitHub, Kubernetes, and database namespaces, letting clients list available tools and invoke them by name. It provides health-check, tool-discovery, and tool-call routes for local, read-only experimentation without calling hosted models or applying production changes.

A FastMCP server that provides tools for querying and filtering people data from Planning Center People API, enabling access to member information, background checks, roles, and other demographic data.

Enables LLMs to query real job data and summarize backend job failures using MCP tools backed by a SQLite database.

Enables IDE agents to query PG&E's DRP Compliance ArcGIS FeatureServer for substations, feeders, ICA hosting capacity, 8760 load profiles, fire threat zones, and grid deficiencies through ten stdio tools.

Enables querying local MySQL databases and managing Docker containers (listing, logs) through natural language via the Model Context Protocol.

Provides read-only EspoCRM access for AI assistants, enabling record retrieval and preparation of signed change sets without direct modification or deletion.

A database operation server based on the MCP protocol, providing database connection, querying, schema exploration, data analysis, and SQL generation tools.

Enables troubleshooting of LDAP directory services through natural language queries, providing health diagnostics, replication status, performance metrics, log analysis, and configuration comparisons across multiple servers.

A Model Context Protocol (MCP) server for SQL Server / Azure SQL that enables querying, monitoring, and analyzing databases directly from Claude.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

Enables querying student information such as marks, attendance, pending assignments, and timetables from a MySQL database through MCP tools.

Multi-tenant, stateless MCP server for conversational business assistants, handling business resolution, knowledge search, and data mutations with human confirmation and security guardrails.

Provides MCP tools for searching student profiles, viewing marks/attendance, and finding low-attendance students. Enables AI assistants like Gemini to interact with college student data through natural language.

Connects a local LLM (Ollama) to a SQLite database via the Model Context Protocol, enabling natural language queries and controlled read/write database operations through MCP tools.

Search the fastest-growing US horse boarding directory: 6,000 facilities and 3,800 trainers across 48 states, plus boarding price data by state.

Enables AI assistants to interact with generated REST APIs by discovering and using CRUD tools and read-only data resources.

Enables MCP clients to retrieve relevant memories and save confirmed durable facts through authenticated access backed by PostgreSQL provenance and Qdrant semantic search.

Enables an AI assistant to query existing business systems through narrow typed tools, stage and confirm gated writes, and verify stated figures against source data with freshness checks.

Enables a unified AI assistant that combines document retrieval (RAG), database queries via MCP tools, and web search, allowing users to ask complex questions and receive answers from multiple enterprise sources.

Enables Claude and other MCP clients to query live online-store product, order, sales, stock, and customer data in plain English, with secure read-only defaults, masked customer information, capped results, and audit logging.

Enables governed interaction with synthetic people data through MCP tools, providing per-caller scoped access, semantic-layer metrics, and read-only SQL with authorization checks.

MCP server that reviews insurance claims against policy documents, providing coverage decisions, policy clause retrieval, claim history lookup, coverage rule checks, and fraud risk scoring via four tools.

It enables AI assistants to discover and invoke CRUD operations as MCP tools and read application data through MCP resources, allowing natural-language interaction with the generated backend.

An MCP server that connects AI assistants like Claude to a Microsoft SQL Server hotel booking database, exposing tools to query customers, rooms, and bookings.