"WP Rocket" matching MCP servers:

Read-only MCP access to the p-e relay store: an append-only corpus of provenance-bearing coordination records, with tools to fetch a record by id, list records and replies, and check existence. This image serves a snapshot frozen at build time; append_relay is listed but refused, and deposits to the live store require an HMAC-signed request.

Persistent memory storage using SQLite for AI agents to store, search, update, and manage contextual memory via the Model Context Protocol.

Enables LLMs to read a user-owned, local-first memory store kept in a portable folder (USB, SSD or laptop), with per-profile permissions limiting what each client can see and access cut off when the pocket is locked or unplugged. Also lets models propose new memories for the user to review and approve, keeping provenance and keeping canonical memory free of direct model writes.

A privacy-first personal context engine that ingests personal photos and message exports, extracts cited facts, and serves a queryable profile over MCP for natural-language questions like 'when did I last see Sarah?'.

Enables graph database operations on FalkorDB via MCP, allowing Cypher queries, node retrieval, and graph listing.

Provides LLM access to Workflowy's API, enabling agents to create, read, update, delete, and reorganize nodes in a Workflowy outline.

Helps AI agents decide what they are justified in believing from the evidence they have. EWP separates stored memory from verified knowledge, preserves conflicts and source lineage, and produces a deterministic warrant result that MCP clients can use consistently across different memory systems.

Local-first, governable long-term memory for AI agents. Provides SQLite-backed storage, cross-session recall, and traceable memory corrections through a standard MCP interface.

An append-only research operations framework and read-only MCP that tracks research plans, approvals, observations, claims, failures, revisions, and contributions with source-grounded evidence, providing search, evidence fetch, and audit capabilities without direct ledger writes.

Enables AI assistants to save, retrieve, and manage research content using ChromaDB vector storage with semantic search, topic organization, and automatic deduplication powered by OpenAI embeddings.

Enables Claude to search and analyze Obsidian vault content using ripgrep with support for wiki links, backlinks, frontmatter properties, orphaned notes, and intelligent context detection showing which heading or property contains each match.

Enables AI agents with persistent, multi-layer memory, multi-agent collaboration rooms, and video generation, all accessible via MCP tools.

A project state control plane for multiple AI agent sessions to share structured conclusions such as tasks, checkpoints, code maps, decisions, and handoffs. It enables agents to read and write persistent project state via MCP tools while humans track progress through a lightweight panel.

Provides tools for AI agents to navigate and query OKF knowledge bundles through overview, read, search, and list operations.

Provides LLMs with persistent memory across conversations using a knowledge graph that stores entities, relationships, and observations with support for PostgreSQL or SQLite backends.

MCP server that gives AI agents persistent long-term memory, storing and recalling facts, decisions, errors, procedures, and episodes across sessions.

An MCP server that provides version-pinned, deterministic documentation sourced from DevDocs.io to AI assistants (Claude, RooCode, Cline, Copilot etc.) and also via offline mode. Not via Scraping! But using the supported downloading option from devdocs.

Enables AI coding agents to quickly search a LightRAG knowledge base without relying on an LLM, returning original notes with sources and graph relations, and to save decisions with timestamps.

Enables AI agents to add decision drafts, evidence, and counterarguments to a shared local decision state, while users confirm or reopen decisions in a web console. Prevents unverified agent answers from being silently turned into code.

FEGIS is a Model Context Protocol server that gives LLMs structured, persistent and portable memory through customizable cognitive tools defined in schema.