"Information on agent swarm architecture" matching MCP servers:

Enables parallel research across multiple cheap AI worker models, splitting a question into sub-questions and synthesizing one sourced answer with references.

A comprehensive Model Context Protocol (MCP) server implementing the latest MCP specification with tools, resources, prompts, and enhanced sampling capabilities that features HackerNews and GitHub API integrations for AI-powered analysis.

MCP server that provides secure access to a serverless Markdown wiki on AWS, enabling AI assistants to read, search, and edit pages with space-level permission checks and Bedrock-powered semantic search.

An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.

A self-improving knowledge agent that provides local retrieval, web research, and structured answer synthesis for Claude Code and VS Code Copilot via MCP. It enables AI tools to manage a project-specific knowledge lifecycle through automated research and indexing.

Exposes tools that let an agent search a local Markdown-based memory store, fetch full cards by id, write new knowledge cards that are indexed immediately, and inspect or rebuild the SQLite index. All retrieval runs locally over Chinese-friendly full-text search with graded exact/prefix matching, so agents without a memory system can recall prior notes while existing Markdown files stay read-only.

Long-term memory for AI agents. Compiles conversations into a structured knowledge base with Claim/Evidence model, source provenance, append-only timeline, and contradiction detection. Multi-path retrieval (Exact + BM25 + Graph + weighted RRF + reranker) — 96.6% R@5 on LongMemEval-S, zero vector dependencies.

Shared knowledge graph for AI coding agents. Search, create, and link verified technical knowledge across 12 node types with trust scoring, demand signals, and auto-provisioning. Install: npx agent-hive-mcp

This read-only MCP Server allows you to connect to Act-On data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

Publishes an MCP server that lets other AI agents browse a project's unified cross-agent session archive: list projects, view timelines, run full-text searches, read existing digests and session summaries, read session bodies in bounded chunks, check collection stats, and export Markdown. All tools are read-only and truncate long output so callers can decide whether to read further.

Enables MCP-capable agents to search shared threads, retrieve full discussions, post sourced findings/questions/answers, and list channels or open questions so they can reuse prior findings and surface unresolved disagreements.

Enables AI agents to run reproducible, high-recall literature search across seven source families with RRF fusion, fetch open-access full texts (falling back to abstracts), expand citations, export BibTeX/RIS, and audit reference coverage — all without any LLM API key, leaving query planning and writing to the agent. Multiple agent clients share one accumulating literature pool and background search jobs that keep running after sessions close.

Archive Agent is an open-source semantic file tracker with OCR + AI search (RAG) and MCP capability.

A self-hosted, MCP-native web-search backend for AI agents that provides meta-search, clean extraction, RAG with citations, and GitHub project selection.

A multi-function Streamable HTTP MCP tool aggregation server that provides web search via Brave, Exa, and SearXNG with multi-key rotation and cross-provider fallback, and supports extensible tool families (URL fetch, code search, RAG) through a pluggable architecture.

Enables AI agents to keep and query long-term memory of past conversations, with hybrid keyword-plus-semantic search, session, day, week, month and year summaries, saved notes, and a running set of current facts about the user. Exposes this over MCP streamable HTTP through five tools so any client can retrieve context that would otherwise be lost between sessions.

A persistent, trust-scored project memory for AI coding agents, backed by PostgreSQL + pgvector, providing durable memory of architecture decisions, bug patterns, and coding conventions.

Self-hosted MCP memory server with a web UI, enabling multiple AI agents to share and manage persistent memories over a single SQLite store via HTTP.

A persistent news intelligence MCP server that enables AI agents to fetch, store, deduplicate, embed, and semantically query news from Google News across 141 countries and 41 languages.

Provides a self-hosted shared memory service that lets AI agents capture and recall durable facts, decisions, and context across multiple tools and MCP-capable clients.

Enables AI agents to use a Markdown notes folder as a knowledge base, with tools to list, read, search by keyword or meaning, and safely write notes guarded by content hashes.

AI-powered MCP server for automotive functional safety engineering. Enables generation of HARA, FMEA, safety requirements, and compliance checks grounded in ISO 26262 standards.

Enables medical care management by retrieving and synthesizing PubMed literature, drafting provider emails for user review, and supporting human-in-the-loop approvals.

Enables LLM clients to query local markdown engineering documentation by indexing files into ChromaDB with Ollama embeddings and exposing a search_internal_docs tool over stdio, all offline and privacy-first.

Enables travel-related queries and planning including weather, train and flight information, itinerary generation, and travel knowledge retrieval via RAG, using an AI agent with MCP protocol.

An MCP server for Perplexity's Agent API, enabling multi-step web research with citations through tools to start, collect, and cancel research runs.

An MCP-based conversational HR agent that handles time tracking queries, policy lookups, adjustment approvals with human confirmation, and BigQuery analytics via natural language.

An MCP server that provides persistent memory capabilities for AI agents using Mem0, enabling storage, search, and management of contextual information across conversations with support for multiple backends and LLM providers.

A local-first knowledge base for LLM coding agents that indexes repository documentation, concept ontology, and build targets into Qdrant and exposes retrieval as MCP tools (search, get, list sources, reindex).

A provider-neutral MCP server that provides tools for managing skills, agents, references, and artifact memory in a local workspace.