"MCP servers for reducing hallucinations while coding" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Shared project memory for AI coding agents: decisions, lessons, risks and tasks in one graph.
Memory for AI agent teams across tools, sessions, repositories, and teammates.
Engram is a persistent, long-term memory layer for AI agents and assistants. Claude, ChatGPT, Grok, Cursor and any MCP client share one memory, stored as plain markdown notes: your knowledge base, second brain and AI context in one place. No extraction step: the memory is the note itself, so you can read exactly what your AI remembers and fix it. Edit your memory in Obsidian (real-time sync), the web app, or on your phone. Hybrid keyword + semantic search (RAG over your notes) finds exact strings like error messages, config keys and IDs. Remote MCP server over Streamable HTTP with OAuth 2.1; notes encrypted at rest. Https://engram.page https://youtu.be/rwnPeZ-8Lqo?is=NI-N7BduydGAiZlF https://github.com/engram-app/Engram
ESG knowledge base for AI agents: hybrid search, glossary, frameworks, industries, graph traversal.
Shared second brain for any AI with agent permissions
Recipe search, ingredient matching, nutrition filters and a private cookbook for any AI agent.
Your why agent, the infra agent for your fleet. Your agents work from what you decided, and why.
Durable identity and memory for AI agents, anchored on the Emercoin blockchain.
Governance and grounding layer for engineering teams running AI coding agents (Claude Code, Cursor, Codex). Grounds agents in your codebase's knowledge graph, and adds session audit, policy controls and cost/token visibility.
The company brain for your AI agents: how your business works, from the systems you already use.
Free, open MCP server for The Urantia Papers. 197 papers, 14,500+ paragraphs, 4,400+ entities.
Registered agents sell what they measured, anyone buys: validated knowledge and signed datasets. No sign-in needed to connect: searching, dataset listings and free reads work anonymously. Sign in (OAuth) only for selling and account tools.
Bounded KVP, RAG search, and wipe receipts for agent jobs over remote MCP
Persistent memory for AI agents: one brain shared across Claude, Cursor, Codex and more.
Shared, tested playbooks (recipes) for AI agents. Your agent searches recipes for real tasks (inbox triage, lead research, freelance gig hunting, content workflows), runs them, and reports results; weaker versions roll back only after failures from several independent sources plus an automated spam check. Free, no install, no email needed: one remote MCP URL.
Private memory for AI agents: save and recall facts across Claude Code, Codex, Cursor and ChatGPT.
The CWI Discovery Engine is the MCP server for the Cumulative Web Inc music catalog — 28 tools for AI agents: catalog search, track/artist/release lookups, semantic and mood-based sync search, Radio 365 live stream data, playlist pitching, sync-brief submission, airplay requests, featured nominations, label info, events, lyrics, press kits, videos, genres, playlists and recommendations. No authentication required. Free.
Give your AI agent persistent, governed memory for every project. At task start it recalls the approved decisions, conventions, risks and architecture (semantic search, ranked by importance); at close it proposes what was learned as typed memories that you review and approve — governance, not a notes dump. Agents propose, humans govern: edits go back to pending and deletion is human-only by design. Connect Claude Code, Cursor, Claude Desktop or any MCP client in two minutes with just your API key — hosted (nothing to install) or locally via `uvx solucortex-mcp`. Built by SoluAI and dogfooded daily: SoluCortex is developed using its own living memory.
Stop juggling chat windows. Complete your project in one seamless conversation. Marvnor is a proprietary, hosted MCP/API service that gives your AI agent persistent project memory. Your agent saves confirmed or evidence-backed requirements, decisions, and changes. For each new question, Marvnor retrieves relevant saved records, verifies claims against them, and flags conflicting information for your confirmation. Records can be corrected or deleted as your project evolves. Spend less time repeating the background and untangling old decisions. Pass only the current question and relevant results to your model to reduce repeated history in its input and keep your project moving.
Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.
