"Bitcoin SV" matching MCP servers:

MCP server providing managed persistent memory for AI agents. Read and write structured state across sessions, tools, and restarts at 1000+ requests per second, with no infrastructure to self-host or operate.

Enables AI agents to store, search, list, and forget long-term memories in a fixed namespace backed by S3-compatible storage, with optional read-only mode and provenance-tagged recall results.

Enables OMP and Pi hosts without the extension to use OpenViking-backed durable conversation capture, scoped recall, verified archives, explicit memory tools, and cross-agent workspace handoffs through eleven viking_* tools and /ov.

MCP server that equips AI agents with BSV-specific development tools including static analysis, pitfall prediction, and BSC error diagnosis to produce correct Bluespec code with fewer compile failures.

Provides context from previous sessions to new OpenCode sessions for continuity in the same project.

Lets MCP clients read, search, create, append to, edit, and delete pages in a SilverBullet space over its HTTP API, using stdio or authenticated Streamable HTTP. Writes use ETags to avoid clobbering concurrent edits, and access can be limited to a subfolder or made read-only.

An MCP server that enables a private mobile-first reading experience in ChatGPT, managing multi-book shelves, reading progress, highlights, thoughts, and bookmarks, with secure cloud storage and AI co-reading of the current page.

Enables DeepSeek Harness to use OpenViking persistent memory by recalling relevant context into conversations, mirroring sessions, committing at thresholds, replaying offline writes, and exposing OpenViking tools via MCP while guarding viking:// URIs.

Exposes mempalace memory tools over HTTP MCP for agent consumption.

Read-only MCP server that surfaces contradictions in an Obsidian vault's knowledge graph via semantic search and reasoning edges.

AI reads your codebase like a book - one page at a time. Pharaoh gives it the index and a map of how every chapter connects.

Enables AI assistants to query Justin's resume, including background, projects, skills, and contact details, through natural language.

Bridges Hermes Agent to the Hermes Intelligence Platform API, enabling tools to read/write learning loop data (context, feedback, signals, memory, etc.) via stdio.

Persistent, consensus-validated institutional memory for AI agents. Gives LLMs real memory that survives across sessions - validated through BFT consensus, not just dumped to a file.

Turns any GitHub repository into your organisation's persistent context layer, enabling AI agents to read, search, and propose updates via pull requests.

Enables MCP clients to search a Zotero library, read items, take notes, organize collections, and perform semantic search over PDFs.

Provides persistent, graph-based memory for AI agents via MCP, enabling semantic search, wikilink traversal, reminders, and injection protection.

An agent-native teaching OS that gives AI assistants a persistent classroom with courses, lessons, flashcards, and graded exercises via MCP tools.

Enables AI agents to contribute and search a shared knowledge commons, so that solutions learned by one agent become available to all connected agents.

Turns a plain-Markdown Obsidian vault into a second brain that any MCP-speaking coding agent can search, read, extend, and maintain, using swappable SQLite, Qdrant, or markdown memory backends with automatic re-indexing and wiki-link graph navigation. Exposes read, write, and index tools plus an operator CLI for health, linting, and graph export.