"p5.js" 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.

An MCP server that provides AI agents with a persistent, PostgreSQL-backed virtual filesystem, supporting session-isolated file operations, cross-session shared stores, and glob/grep search.

Memory vaults on your own machine, one per life domain, retrieved with a local BM25 index fused with vector search, where the human decides which vaults a model may answer from. Requires the Mnemosyne OS desktop app running locally; it also reports what other coding agents on the same machine are doing.

Local-first memory engine for AI-agent teams: private/team/project ACL, associative recall, and federated sync across nodes. One SQLite file, no LLM required.

An MCP server for Wiki.js that enables AI agents to create, read, update, search, list, and move wiki pages via the GraphQL API. It supports surgical section updates and structured content management through named sections.

A self-evolving JavaScript reverse engineering workflow MCP server that automates deobfuscation through evolutionary algorithms, integrating MemOS, GitNexus, and Stagehand.

Personal memory MCP server for Claude Code with an Obsidian-style graph. Enables persistent, queryable memories across sessions using Markdown files with bidirectional wiki-links and a D3.js force-directed graph UI.

An MCP server that gives Claude-based agents persistent long-term memory with semantic search, BM25 hybrid reranking, associative recall, episode grouping, and sleep consolidation.

Enables source-first orchestration and knowledge indexing with inspectable architectural capabilities through a unified MCP interface, including named-attribute retrieval and atomic knowledge ingestion.

Enables searching imported AI conversations locally across different providers from an MCP client, with read-only access to the archive.

MCP server that equips AI agents with dev workflow tools including GitHub project management, conventional commits, visual regression testing, Jira/Confluence integration, and a persistent memory knowledge graph.

Local markdown notes for any MCP client: ranked + semantic search, tags, todos, a wiki-link knowledge graph, daily notes, templates, and slash-command workflows. Pure-JS, local, no API keys.

MCP server that wraps codebase-memory-mcp to provide code indexing, search, tracing, and architecture analysis tools with automatic reindexing after source changes.

An LLM-native decision tracking system that captures unexpected engineering outcomes as 'pressure events' to build a persistent learning foundation. It enables AI assistants to manage cases, log surprises, and promote recurring insights into global or project-specific knowledge bases.

Enables Pi to use GZMO's curated memory system, providing tools for memory status, search, recall, and chain operations via MCP.

A local knowledge base MCP server that enables retrieval and evidence-based Q&A over Obsidian Markdown notes, with high-recall embedding search, chunked indexing, hybrid retrieval, and three STDIO MCP tools for agent-driven recollection and quality-gated recall.

Provides a cross-session memory system for AI assistants via MCP, with markdown-based storage, BM25 retrieval, and tools for writing, searching, reading, and managing memories.

Local-first semantic memory server with project indexing for AI assistants. It enables AI assistants to store, retrieve, and search memories and project code using embeddings and vector search.

A searchable long-term memory server for AI agents using BM25 indexing over document chunks, enabling durable recall across sessions without cloud dependencies.

MCP server that provides AI agents with persistent memory, cross-agent sharing, and context management, enabling them to remember conversations, track complex tasks, and evolve skills across tools.