"MCP servers with SSE endpoints" matching MCP servers:

A FastMCP server that exposes mem0 long-term memory to MCP clients over SSE, enabling AI agents to store and recall facts persistently.

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

Enables searching and accessing Readwise highlights and documents through HTTP endpoints using the Model Context Protocol. Provides vector and full-text search capabilities with streaming responses for retrieving reading highlights and notes.

MCP server for Locus, a local semantic dataspace manager powered by Ollama. It exposes all Locus HTTP endpoints as MCP tools to manage dataspaces, ingest documents, and perform semantic search.

A custom MCP server that connects to self-hosted Mem0 API instances, enabling Claude Code to manage memories via custom endpoints.

Connects AI assistants and agents to Obsidian vaults through strongly typed tools and resources for reading, creating, searching, organizing, and analyzing notes, tasks, properties, tags, and knowledge-graph data. Supports secure remote access via stdio or Streamable HTTP/SSE with bearer authentication and path isolation.

Memory bank with Server as SSH support for central knowledge base

A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of text notes through Claude Desktop.

This server provides a note storage system with a custom URI scheme, allowing users to add and summarize notes, with adjustable summary detail levels.

Persistent graph-based memory for AI agents, stored as plain markdown — no vector DB. Typed nodes and 11 relation types via 5 MCP tools (search, get, create, link, related), stdio and HTTP/SSE transports.

Open-source MCP memory server for AI agents — persistent, searchable, tiered memory across sessions. Works over stdio (Cursor, Claude Desktop) or HTTP+SSE. MIT licensed.

Provides AI agents with honest benchmark rankings (Agentic Memory Index and Agentic Search Index) for AI tools, plus graded checks and telemetry for x402 endpoints.

Enables chat with multiple LLM providers (OpenAI and Anthropic) while maintaining persistent conversation memory. Provides extensible tool framework for various operations including echo functionality and conversation storage/retrieval.

Enables interaction with GLPI (ITSM) through 71 tools covering tickets, assets, problems, changes, knowledge base, projects, users, and more, using SSE or stdio transport.

A FastAPI + FastMCP shared-memory gateway in front of Honcho v3 that provides a single shared brain for multiple AI agents to read from and write to, enabling context recall and change logging through bearer-authenticated endpoints.

Enables AI agents to store and retrieve persistent memory through MCP over HTTP (Streamable HTTP and compatible SSE) or stdio.

Private knowledge base with Markdown pages and assets, exposed via MCP for agent access.

Enables AI assistants to query semantic data via SPARQL endpoints, with support for multiple output formats and caching.

Enables households to maintain a shared, persistent family memory for tracking item locations, warranty dates, chores, and who said what and when. It exposes this memory to AI assistants and tooling through MCP-compatible endpoints.

MCP server for alive-analysis. Query, search, and retrieve structured analysis history written with the ALIVE loop (Ask→Look→Investigate→Voice→Evolve), plus dashboard JSON export.

A remote MCP server that provides AI memory and personalization tools for Honcho, enabling LLM clients like Claude Desktop to manage workspaces, peers, sessions, and conclusions via HTTP SSE.

dev-brain-mcp

A server that manages conversation context for LLM interactions, storing recent prompts and providing relevant context for each user via REST API endpoints.

Exposes a deterministic, centrality-aware GraphRAG retrieval planner as operator tools over stdio or SSE, letting agents index corpora, run seed-steerable multi-hop retrievals, resolve entities, inspect graph neighborhoods, and fetch documents. All responses come back in milliseconds with zero LLM calls in the query path, so the calling agent does the reasoning while the server handles hop-by-hop retrieval.

Enables LLM clients to store and retrieve per-user long-term memories in SQLite, with tools to add, search, list, get, and delete memories via MCP HTTP/SSE transports.

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.

Enables personal memory management through tools to find people, get profiles, remember notes, and perform semantic search, integrated with Claude via SSE.

Exposes Obsidian vault tools via Model Context Protocol (MCP) server over stdio, HTTP, or SSE transports, enabling AI assistants to read, write, search, and manage vault notes with 28+ built-in tools and CLI bridge integration.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

Enables AI assistants to fully access and manage online Zotero libraries through 82 tools, including searching, reading, citing, organizing, and analyzing items, with optional previewed writes and support for stdio and Streamable HTTP/SSE transports.