MCP Servers

Sovereign, encrypted, persistent memory for AI agents. Eight MCP tools — remember, recall, forget (GDPR Art. 17 erasure), share. Anchored on COTI V2 mainnet. Apache-2.0. Install: npx -y @saihm/mcp-server.

🎖️ - The artifact store for AI agents. Every output your agents produce — persisted, retrievable, shareable. Across runs, sessions, and tools. Session/agent metadata, content-hash dedup, expiring share links; 11 tools with path-confined uploads and destructive actions gated by default. TypeScript (npx @artifacta-mcp/mcp) and Python (pipx run artifacta-mcp).

Local-first memory & context-handoff across AI tools — capture context in one tool, resume it in another, with graceful decay, a persona layer, and a portable memory passport.

Hosted company-state MCP for operating SMBs (brand, voice, charter, priorities, entitled modules/skills). Anonymous public discovery at https://connector.rarefied.earth/public/mcp proves live value in under 10 seconds; tenant feed after trial. Official registry: io.github.Rarefied-Earth/groundwork. Product

Agent-first cross-platform bookmark & knowledge manager. AI agents collect web pages from any source (pairs naturally with Fetch, Firecrawl, Brave Search) and auto-categorize into organized collections with search, tags, and shared folders. 16 tools including agentregister (zero-config onboarding), addfootprint, searchfootprints, createsharedcategory. pip install -r requirements.txt && python server.py

Local-first, MCP-native persistent memory for AI agents — a single Rust binary with embedded SQLite, hybrid FTS5 + dense-vector search, and optional AES-256-GCM encryption. Fully offline, no cloud.

Read-only access to the AI Loop Library catalog: 63+ bounded, verifiable agent work loops. pickloopforgoal recommends a loop for a stated goal and renderrunprotocol emits an executable markdown protocol with verification, stop conditions, budgets, and approval gates. Single-file, stdlib-only stdio server.

Local-first cross-agent memory with a 6-layer structure, Ebbinghaus-style forgetting curve, and drift detection that catches when code diverges from past decisions. One SQLite file shared across Claude Code, Cursor, Codex, and Gemini — no account or API key. npx linksee-memory

Local-first persistent memory for AI coding agents. Hybrid vector + full-text search (LanceDB + Tantivy), separate Markdown and Tree-sitter code indexes, per-project isolated vaults shared across IDEs (Cursor, Zed, Claude Code, Codex), bounded recall with abstain-on-low-confidence.

MCP server for OWL/TTL/RDF ontologies. Supports SPARQL queries, HermiT/Pellet reasoning, and CRUD operations on knowledge graphs. Works with Claude Desktop, Cursor, and Windsurf.

Turns your task manager into agent memory: hybrid (dense + sparse + keyword, RRF) retrieval over TickTick or an Obsidian vault via a six-method adapter contract. MCP server + CLI, no vector DB to build or maintain. npm i -g @reneza/ats-cli

Graph-native Obsidian vault server with 31 tools for search, backlinks, n-hop neighborhoods, structured and paginated reads, and safe file, partial, and bulk edits with dry-run and rollback. Works with Codex, ChatGPT, Claude, and any MCP client. npx -y obsidian-everywhere /path/to/vault

Read Markdown with inlined images and heading indexes for agentic RAG over local docs or allowed URLs.

Evidence-backed PR contribution advisor. 550+ case studies from 33 repos, 8 tools for merge probability analysis, pattern matching, and contribution strategy. pip install prgenius-core

Reversibly compress a large tool output to a recoverable 8-hex handle over stdio, expand it on demand, and report a local token/dollar savings ledger.

XMemo is user-owned memory for AI agents over a hosted Streamable HTTP MCP endpoint. Save, search, recall, and manage scoped memories across Copilot, Claude, ChatGPT, IDEs, and CLIs. https://xmemo.dev/mcp

One shared context for every AI tool your team uses. Serves your team's knowledge, coding standards, skills, and AI agents to Claude, Cursor, Copilot, and any MCP client — load a whole workflow (docs, agents, skills, tasks, phases) in a single call. Versioned and permissioned. npx @contextium/mcp-server

Local memory daemon for any MCP-over-stdio client with three-tier storage (episodic/semantic/procedural). Own SQLite + hnswlib store (Hippo) with bge-small-en-v1.5, MIT-licensed community-detection reranking (MOSAIC), and sleep-cycle consolidation. AES-256-GCM encrypted at rest, no telemetry. Verbatim recall >=99% and post-contradiction Rescue@10 1.000 at honest scale. Ambient capture via shell hooks. Windows support in beta.

Local memory layer over the session histories coding agents already write (Claude Code, Codex CLI, opencode): lexical search, recall tools, session-start auto-recall, secret redaction at index time, cross-machine sync over SSH.

Local-first agent memory: a plain-Markdown Obsidian vault is the source of truth, with a rebuildable DuckDB index for hybrid BM25 + vector + graph recall. Non-lossy capture with secret redaction; works across Claude Code, Codex, Cursor, and any MCP host. uvx agentcairn

AI-native structured memory for coding agents — typed lore/doc entries with status and links, read and written by agents via MCP.

AI enhancement middleware: precise retrieval replaces full-memory loading (~80%+ token cut), rule-based conflict arbitration with explainable reasons, and one local SQLite shared across Claude Code/Codex/Cursor/ZCode. Local-first, zero cloud, MIT. pip install memory-arbiter-mcp

Sovereign Agent OS — persistent memory, governance, and audit trails for AI agents. One brain for Cursor, Claude Code, Windsurf, and Gemini. Local-first .brain/ directory with engrams, hypervisor file protection, and optional remote sync. pip install nucleus-mcp or Streamable HTTP at relay.nucleusos.dev.

Auditable context control plane and MCP server for AI coding agents. Compresses context 70–95% (BM25 + entropy + dep-graph knapsack), stabilizes prompt prefixes for provider cache discounts, routes easy tasks to cheaper models (RAVS Bayesian router), and verifies answers locally with WITNESS hallucination guard (0.844 AUROC, $0, ~3 ms). MemoryOS adds local budget-aware working/episodic/semantic memory with decay, safety scanning, and durable persistence. 38 agent integrations (Cursor, Claude Cod