"Information about MCP Feedback-Enhanced Systems or Techniques" matching MCP servers:

Lets AI assistants query a live feedback collection database in plain language, retrieving entry counts broken down by type and classification status, and listing individual submissions filtered by type, urgency, or sentiment. Access is read-only and privacy-preserving, so answers can be produced without exposing submitter email addresses.

A Node.js implementation that provides tools for advanced PubMed searching, including full abstract retrieval and PMC full-text search within open access articles. It features SQLite-backed search history and allows users to filter results by MeSH terms and specific publication dates.

A Model Context Protocol server providing both read and write access to PostgreSQL databases, enabling LLMs to query data, modify records, and manage database schemas.

Retrieves comprehensive patient information including personal details, insurance plans, and employee data through the get_patient tool. Supports Docker Compose deployment and integration with Watson Orchestrate for healthcare data access.

Enables AI agents to securely connect to and query Microsoft SQL Server databases with read-only access, schema discovery, and relationship mapping. Features advanced security protections, health monitoring, and bulk operations for production environments.

Enables comprehensive interaction with Airtable bases including record management with automatic type conversion for all field types. It supports batch operations, schema discovery, and secure authentication using Personal Access Tokens.

Provides access to 1,709 Icelandic statutes and 19,026 provisions with full-text search, citation validation, and EU/EEA law integration, enabling legal research and compliance checks through natural language queries.

A comprehensive MCP server for Power BI DAX query execution, validation, optimization, and intelligent assistance with tools for schema analysis, template generation, and health monitoring.

Provides AI agents with database-like operations over LanceDB with automatic BGE-M3 multilingual embedding generation, enabling semantic search, CRUD operations, and safe schema migrations across structured data.

Enables users to answer California drinking water questions about public water systems, SAFER risk/violation status, source-water chemistry, school lead sampling, and latest tap/treated-water results by ZIP code or water system ID, using curated Databricks Gold views over State Water Board open data.

Enables MCP clients to connect to SAP ABAP systems via ADT, retrieving source code, table structures, and other development information through read-only tools.

Enables MCP clients to connect to SAP ABAP systems and retrieve development information such as source code and table structures.

An MCP server for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.

An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.

An MCP server that provides knowledge about Coordinate Reference Systems (CRS).

Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.

A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.

Enables AI assistants to interact with Inflow Inventory API for managing ingredients/products and inventory operations. Supports product creation, updates, search, and stock adjustments through natural language commands.

Enables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development.

A Model Context Protocol server that provides natural language access to Cortex API, enabling users to query information about their system's structure and make faster decisions about services, incidents, and team responsibilities.

Enables read-only access to Sparx Systems Enterprise Architect repositories stored in various database systems via ODBC, allowing AI assistants to browse and query model data without requiring Windows or a running EA instance.

A server implementation of MCP for Apache Spark that provides query plans and catalog information to AI systems for query optimization and data discovery.

Enables development support for AS400/IBM i systems by providing read-only access to metadata, source code, and program dependencies via ODBC. It supports CL, RPG, and COBOL environments, allowing users to retrieve library, table, and system information.

Enables AI assistants to interact with Odoo ERP systems through the Model Context Protocol. Provides comprehensive access to Odoo models, records, and methods with enhanced features like employee search, holiday management, and flexible domain querying.

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An MCP server that provides detailed information about your development environment to the Cursor code editor, enabling more context-aware assistance.

Enables querying a curated book database using MCP tools to retrieve basic or detailed book information by ISBN or title, including batch lookups.

CTX is a tool made to solve a big problem when chatting with LLMs like ChatGPT or Claude: giving them enough context about your project.

A Python-based server that interacts with EPICS process variables, allowing users to retrieve PV values, set PV values, and fetch detailed information about PVs through a standardized interface.

Enables seamless integration with FHIR APIs for healthcare applications, allowing users to search, retrieve, create, update, and analyze clinical information through natural language interactions. Supports SMART-on-FHIR authentication and works with various healthcare systems like EPIC and HAPI FHIR servers.