"Xero" matching MCP servers:

MCP server for managing a local, domain-agnostic knowledge base using Markdown notes with frontmatter. Enables AI agents to capture, read, search, link, and maintain notes with atomic writes and privacy controls.

Enables AI agents and MCP clients to query locally indexed code, docs, logs, JSONL/CSV and PDFs using BM25 full-text, vector and hybrid search, returning cited passages with file:line references instead of whole-file reads. Also supports code search, batch queries and persistent agent memory namespaces.

Enables agents to encrypt and sanitize sensitive data such as credentials, credit card numbers, and addresses locally before dispatching prompts to cloud LLMs, then rehydrate the masked values client-side. It runs deterministically with zero external dependencies over MCP JSON-RPC stdio, so no plaintext PII leaves the user's machine.

Provides a hybrid memory architecture with a thin SQLite index and Markdown cold storage, enabling AI agents to write, query, link, and rebuild long-term memories via MCP tools, model-agnostic and zero third-party dependencies.

Gives any MCP client (Claude, ChatGPT, Cursor, and others) one shared knowledge-graph memory where agents record decisions, problems, and approaches together with their reasoning, then retrieve them by meaning rather than keyword. Spreading activation pulls in linked context and decay lets unused knowledge fade without deleting it.

A local-first shared memory layer for MCP-aware agents like Claude, Codex, and Hermes, enabling persistent memory across chats and clients via Markdown files and SQLite FTS.

A local shared-memory MCP server for Claude, Codex, Hermes, and other MCP-aware agents, providing a durable memory layer with Markdown files and SQLite fact store.

A lightweight MCP server that enables querying a project's corpus (docs, decisions, issues, skills) with cited answers and typed refusals via stdio JSON-RPC 2.0.