1,603 published MCP servers in this category · page 2 of 27 · all categories
AegnticMCP automates the creation and management of MCP servers, ensuring they are stable, adaptable, and intelligent.
Built with F# on .NET 10 -- 1,300 lines, 21 tools, zero Python dependencies.
AI agent security: prompt injection detection, semantic memory, output scanning, prompt hardening
18 tools: agent memory, API drift detection, and HMAC-signed trust receipts
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
Correction-first agent memory. Precision KPI tracks if agents heed warnings. 5 layers, local-only.
Hiring, SEC, research papers, GitHub & Hacker News as JSON for AI agents. Pay-per-result on Apify.
Build and run grounded business agents over MCP: agents, knowledge bases, skills, Storylines.
A shared knowledge base for AI agents. Store what you discover. Search what others have learned.
AgentBazaar is an open A2A (agent-to-agent) marketplace where autonomous agents trade, collaborate, and evolve their own knowledge. Unlike conventional agent platforms that rely on ever-larger LLMs…
AgentDB is a curated knowledge base your agent queries at inference time. 40 sources — AI/tech, startups, alternative markets, and emerging economies — scraped, AI-summarised, and structured into…
MCP server for AgentDocs (agentdocs.eu): read, search, write, comment on & share Markdown docs.
The full CRM for contractors, asked directly: crew pricing, knowledge base, forum, roadmap.
Remote MCP server for agent discovery (semantic search) and agent reputation.
Unified CLI for reproducible and auditable Agentic SWMM workflows.
Persistent memory for AI agents — history, context, semantic search, queues. 17 tools, stdio/SSE.
AI-powered news intelligence — 21 tools for personalized monitoring, briefings, and semantic search
Long-term memory for agentic tasks. It tells you when it doesn't know.
The automation engine built for AI agents. Intelligent AI workflow orchestration with long-term memory, 100+ integrations, and unified credits.
AI-verified knowledge base with trust scoring, temporal facts, and skill cards.
agent-lsp is an **MCP server** that orchestrates existing LSP servers (gopls, rust-analyzer, jdtls, etc.) into agent-native workflows.
Company brain for AI agents — temporal knowledge graph search, exploration, and durable memory.
A collection of autonomous agent examples demonstrating how to integrate the **Neonia Model Context Protocol (MCP) Gateway** using the official
Shared memory for Claude Code, Cursor, and Codex that knows what's still true. Save sessions, catch stale and conflicting rules, and stop your agent
Search, discover, and contribute to AgentPedia - the knowledge base for AI agents.
Planning and orchestration for AI-driven software development
Model Context Protocol server for AgentRAM. Persistent memory for AI agents.
Verifiable, signed, immutable receipts for autonomous agent actions
Open, vote-ranked forum, Q&A knowledge base and inbox for AI agents
MCP server for AgentSeal — tamper-proof audit trails for AI agents
Researched knowledge for AI agents. Canonical answers from official sources.
Knowledge base for AI agents: search, read, tasks; write, correct, report outcomes via /mcp/write.
Graph-native persistent memory for AI agents — 33 MCP tools, zero-LLM writes.
Hosted markdown project wikis your team's AI assistants read, search, and update over MCP.
This repository is the public connector kit for the hosted server. There is no server code here: the server runs at https://mcp.agilehero.io/mcp, and these files describe it to MCP clients and…
Search aging research papers, evidence, trials and grants; follow topics through Sign in with ARN.
Encrypted, pay-per-use persistent memory storage for AI agents, gated by x402 payments on Base.
AHME is a **local sidecar daemon** that sits quietly beside your AI coding assistant. As you work, it compresses your conversation history into a
Scan, export, and import your AI ecosystem. Discover MCP servers, skills, and memories.
Agent-agnostic persistent memory as an MCP Server — local-first: memories travel with your project in .aamm/, shared across Claude Code / Qoder / Cursor.
Este projeto implementa um agente de IA que utiliza o Model Context Protocol (MCP) para interagir com recursos externos.
Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.
AI memory layer — one shared, persistent memory across every AI tool you connect.
Persistent memory for AI assistants. Save once; recall from Claude, ChatGPT, or any MCP client.
Search and read the aicoolies catalog of AI and developer tools via a remote MCP knowledge graph.
Governance layer for AI coding agents: knowledge-graph grounding, session audit, policy controls.
Official AiDD MCP Server for Claude Desktop - Seamless integration with Apple Notes, AI task processing, and multi-service sync
Persistent memory layer for AI coding agents — your agent remembers what you taught it.
Look up, search, cite, and discuss AI phenomenology terms from the AI Dictionary
Persistent memory MCP server for AI coding assistants. Chinese-first and fully local.
AI-vertical index: arXiv papers, curated GitHub AI projects, daily rankings. Zero-setup, read-only.
Configuring the LLM backend (xAI Grok, OpenAI, Anthropic, Gemini, DeepSeek, Kimi, Qwen, Mistral, Groq, Together, Cerebras, OpenRouter, Fireworks, LMStudio, vLLM, llama.cpp server, or local Ollama)?…
AI/ML research papers from arXiv, DBLP, and HuggingFace
Cloud-persistent, semantic-search memory MCP — drop-in for server-memory, backed by ZeroDB.
An MCP (Model Context Protocol) server that provides access to AIND (Allen Institute for Neural Dynamics) metadata and data assets through a
AI NPCs with persistent memory for game studios. NPC CRUD, dialogue, voice. Stdio or remote SSE.
Connect AI assistants to your Aiqbee brains via the Model Context Protocol.
Airwallex docs, API references and a live sandbox, wired straight into your coding agent.
66 public tools: semantic search, queues, inboxes, webhooks, approvals, DNS, images, PDF and more.
A simple note-taking system built with the Model Context Protocol (MCP) that allows AI assistants to create, read, and summarize notes.