Explore server capabilities, recorded tools, available client configurations and practical setup considerations. Browse servers by category, or jump to remote servers and official vendor servers.
Servers can appear in several categories when their tools support several tasks. Category counts include these overlaps; the directory total counts each server once.
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Verified, local-first retrieval over pinned Knolo Knowledge Images.
The neutral meter for AI agent work: neither side keeps the count.
Personal event picks from Knossot's calendar of the Hudson Valley, Philadelphia, and New York City.
A Model Context Protocol (MCP) server that enables AI agents like Claude Desktop to interact with the Knotie AI Pro platform for automated customer and voice AI agent management.
Query and audit AppSheet apps in natural language via Knotrik's pre-scanned definitions.
Knots to km/h, number discarded
Knots to m/s, number discarded
Team docs served to AI agents over MCP - search, Markdown reads, version pinning, read audit.
What other agents already tried against your build error, which attempt worked, and the dead ends
MCP server for KnowBe4 security awareness training — users, groups, training, phishing campaigns.
MCP server for KnowBe4 security awareness training — users, groups, training, phishing campaigns.
Every KnowBe4 KMSAT reporting feature plus a local SQLite store that answers the cross-client
Handpicked places in Chelsea, London: restaurants, coffee, pubs, parks and shops.
Register Knowerage wherever your MCP host expects server definitions (for example some clients use `.cursor/mcp.json` or `.vscode/mcp.json`; others
U.S. business lookup and search via KnowFirm. Bring your own API key; each call uses 1 credit.
Handpicked places in Fulham, London: restaurants, coffee, pubs, parks and shops.
Connect Claude Code, Claude Desktop, Cursor, or any MCP-compatible AI client to [Knowi](https://www.knowi.com). Query your data, create dashboards
Content-addressed code graph with 22 MCP tools for AI agents.
Add source-linked U.S. judge and court research directly to AI assistants and agents through the Model Context Protocol.
Your agent starts every session blank, so you keep a CLAUDE.md. It only grows. Six months in it still names the database you migrated off last spring, and now the agent gets both answers.
Sourced, task-level facts on how AI changes jobs, for agents answering 'what should I do?'
Knowledge Base von designare.at – Michael Kanda, Web & KI aus Wien. Semantische Suche über RAG.
AI-powered knowledge base for Double - Thank You with semantic search and question answering.
Search verified local businesses, check what their verification proves, and message them.
A searchable knowledge base your assistant reads and writes.
A powerful Model Context Protocol (MCP) server for extracting text content from various document formats including PDF, DOCX, PPTX, and XLSX files.
Point this server at a folder of markdown notes and it becomes searchable by meaning, not just by keyword — from your AI client, or from your shell.
Knowledge commons for AI agents: cited, licensed, queryable claims over MCP.
Find the reference marker for a knowledge item
Search real problems, solutions, failed approaches and observed outcomes shared by AI agents.
Local-first personal knowledge and learning memory for AI tutors with evidence-gated mastery.
View on ApifyForge | Use on Apify Store
A basic implementation of persistent memory using a local knowledge graph powered by Kuzu embedded graph database.
🏢 KnowledgeGraph-MCP - 专门为德国家族企业知识图谱构建的 Model Context Protocol (MCP) 服务器
Knowledge graph MCP for student learning with spaced repetition and mastery tracking
MCP server for enabling persistent knowledge storage for Claude through a knowledge graph with multiple storage backends
Note: This project was extracted from modelcontextprotocol/servers to create a standalone implementation.
A label property graph on SQLite/Postgres with multi-ontology routing and a gated MCP server.
Search log events, investigate anomalies, and manage cases in your Knowledge Grid tenant.
Update a section and backlink index
Update a section and backlink index.
__The documents provided in this example are dummy guidelines. They are not real and serve the purpose to demonstrate that knowledge can be extracted from Neo4J.__
A Model Context Protocol (MCP) server for managing and querying knowledge bases through vector databases, built on top of the dynamic-mcp-server (DMS) framework.
Segment a knowledge note for indexing.
Segment a knowledge note for indexing.
Segment a knowledge note for indexing
Read and write knowledge-base articles, categories, snippets, glossary, readers, and search data.
Plan a knowledge-base placement path
Plan a knowledge-base placement path.
Plan a knowledge-base placement path.
A sourced learning map your AI places you on: finds gaps you can't name, teaches step by step.
Drop your PDFs, markdown, code, notebooks — **1800+ files, 39K chunks, indexed in under 3 minutes.**
Persistent, evidence-backed project knowledge and task context for coding agents.
Make your knowledge agent-ready. One MCP endpoint, 5 connectors, 3 search modes.
Edit ~/.config/claude_desktop_config.json:
Search, retrieve, create, and update visual knowledge maps in a user's KnowMapped account.
Knowledge graph & long-term memory for AI agents: recall, relations, store, stats, health.
Knowledge marketplace where AI agents autonomously buy human expertise via Solana
Verified fixes, professional reviews, and evidence-led apparel over MCP.
Food verification for people and AI agents: evidence-backed verdicts, with sources and dates.