"List of Publicly Available SSE (Server-Sent Events) Servers" matching MCP servers:

A server for Model Context Protocol (MCP) that uses Server-Sent Events (SSE) for streaming communication, enabling tools like the HackerNews API to be accessed through a secure HTTP+SSE transport.

A server that provides MySQL database operations through SSE (Server-Sent Events) based on the MCP (Model-Controller-Provider) framework, enabling real-time data transmission from MySQL databases.

A server that allows AI agents to query and retrieve information about upcoming events at Berghain nightclub through a DynamoDB-backed FastAPI service.

Enables AI assistants to manage todo lists through natural language by creating, listing, updating, completing, and deleting tasks stored in Firebase Firestore. Supports custom system prompts for personalized task management workflows.

Enables interaction with Neo4j graph databases through Cypher queries, supporting both read and write operations, schema exploration, and remote database connections via SSE or STDIO transport protocols.

Integrates Claude with Salesforce to enable natural language querying, modification, and management of Salesforce records and metadata. It supports comprehensive operations including object/field management, SOSL searches, and Apex code execution.

This MCP server provides a web-ready SSE bridge for Microsoft's Power BI Modeling MCP Server, enabling URL-based interaction with Power BI semantic models from any programming language without local stdio piping. It features automatic Azure authentication and dynamic binary resolution for seamless Power BI data analysis.

Enables Cursor on your laptop to connect to an MCP server on EC2 via SSE/HTTPS to manage a task queue stored in Postgres, supporting task listing, status updates, and work prompt generation.

MCP server for sandboxed, read-only SQL queries on CSV/Parquet/JSON files via DuckDB, limited to a specified directory.

Enables managing employee records by providing tools to list directories, retrieve detailed profiles, and search for staff by department. It integrates with Claude Desktop to allow users to interact with employee data through natural language commands.

Enables AI agents to run deterministic database intelligence tasks including natural-language-to-SQL synthesis, AST SQL auditing and optimization, schema migration diffing, SQL transpilation, index and normalization advice, PII scrubbing, fixture generation, connection-pool sizing, isolation-hazard auditing, and ORM model compilation over Streamable HTTP or stdio.

Proxies stdio MCP clients to Inbin's remote MCP endpoint, exposing tools to list inboxes, search and retrieve events, and inspect schemas.

Enables AI assistants to manage CData Sync operations, including data synchronization jobs, connections, and ETL processes through stdio or HTTP transports. It provides tools for executing jobs, monitoring real-time progress via Server-Sent Events, and handling comprehensive workspace configurations.

A read-only MySQL MCP server supporting stdio, SSE, and Streamable HTTP transports, enabling secure querying and schema inspection of MySQL databases from MCP clients.

Enables users to search rRNA sequences by organism, accession, or taxonomy, retrieve detailed sequence metadata, evaluate probes and primer pairs, and list available databases and taxonomies through MCP tools.

Connects to Elasticsearch clusters through the Model Context Protocol, enabling natural language querying and management of Elasticsearch data. Provides tools to search indices, list available indices, and retrieve index mappings.

Provides tools to read and write events, list streams, and create, test, and debug projections on KurrentDB.

Connects AI assistants to live Odoo instances over the Model Context Protocol so they can list available models and search, read, or write records such as contacts and invoices. It can run in a fast full-access mode or a hardened mode restricted to a whitelist of models with per-operation permissions and API-key authentication.

A Model Context Protocol (MCP) server that provides MetricFlow CLI tools through both SSE and STDIO interfaces, enabling users to query metrics, list dimensions, and perform other MetricFlow operations via natural language.

Enables agents to list and fetch webhook events stored locally in SQLite, turning inbound webhook POSTs received on localhost into retrievable MCP read tools.

Enables task management through natural language: create tasks, list and filter them, and update their status. It uses SQLite for persistence and supports both local stdio and remote SSE transports.

A networked long-term memory server that enables AI agents to maintain persistent context across sessions via Server-Sent Events (SSE), with secure multi-tenancy and autonomous memory lifecycle management.

Enables AI agents to query a local ledger of UPI payment history built from the statement PDFs that payment apps already provide. It supports searching individual payments, summarizing money sent and received by month, counterparty, funding account, or app, running read-only SQL, and ingesting statements.

Enables LLMs to interact with generated REST API services by exposing MCP tools and resources for CRUD operations, listing, and retrieval. It lets AI clients discover and call create, update, delete, list, and get-by-id actions against the same data available over REST.

Enables management of ride-sharing operations including searching for available drivers, calculating dynamic fares, creating and tracking trips, and monitoring driver statistics in real-time using Supabase as the backend.

Provides secure access to VA's VistA electronic health record system, enabling AI applications to retrieve and summarize patient medical records for clinical staff.

Enables users to create, list, search, and read notes persisted in SQLite, along with basic arithmetic and echo tools, exposed over Streamable HTTP. Notes are also available as JSON resources and through a prompt that asks the calling model to summarize them.

Enables AI clients to list chats and groups, read full group history, search across message shards, and access summaries or system events from local WeChat 4.x data through a read-only, offline MCP interface.

Exposes six read-only tools that let an MCP client find products, describe and fetch metrics, compare periods, list events and see what changed across a year of grocery sales data. Results are capped at 60 rows per call, so answers about sales, units, share and promo lift come back structured instead of guessed.

MCP server that connects to Oracle databases, enabling execution of registered and ad-hoc SQL queries, retrieval of business object details, and discovery of capabilities over stdio, HTTP/SSE, and REST transports.