"How to interact with Todoist" matching MCP servers:

Enables agents to interact with OKF bundles: browse, search, read concepts, and audit trust and freshness.

Self-improving, verifiable memory for AI coding agents. Learns how you work, stops repeating mistakes, models each project, recalls the right lesson at the right moment. Every memory is signed and tamper-evident. Local-first.

Semantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.

Model-agnostic, agent-ready Obsidian MCP server with RBAC, SLSA provenance, and native search. 163 tools across 31 domains, multi-vault, pluggable embeddings.

A Model Context Protocol server that enables AI agents to interact with a local Logseq instance, allowing operations like creating pages, managing blocks, and searching across a knowledge graph.

This MCP server enables Claude to interact with an Obsidian vault for persistent, structured memory, providing tools for note creation, semantic search, graph traversal, and session memory.

An MCP server that enables Claude to interact with Google NotebookLM via browser automation, allowing management of notebooks, adding sources, and querying information.

A codebase ontology and a cited wiki, both kept as Markdown in one folder on your disk. Typed graph answers — what a change affects, how two concepts connect, which wiki lines lack a citation — and every write lands as a Git diff a person reviews.

Enables AI assistants to interact with Hudu IT documentation, providing tools for companies, assets, knowledge base articles, credentials, IPAM, racks, and more, with security gates for passwords and destructive operations.

Enables AI assistants to interact with Joplin notes, notebooks, and tags through a standardized MCP interface, supporting CRUD operations, search, and organization.

Enables Claude clients to interact with an Obsidian vault as a knowledge graph, supporting full-text search, backlink traversal, neighborhood exploration, and note creation/append.

Local knowledge engine for codebases with hybrid search, knowledge graph, and interaction tracking, enabling Claude Code to search and interact with project knowledge locally.

Enables AI assistants to interact with Memos instances for knowledge management. Supports searching, creating, updating, and retrieving memos with markdown content, tags, and visibility controls.

Provides OpenCode with adaptive long-term memory by storing preferences, lessons, and usage history locally in SQLite, enabling AI to remember and adapt to users through context-based learning.

Enables AI assistants to interact with Roam Research graphs through comprehensive API access, supporting page/block operations, markdown import, search, memory storage, and complex batch actions for managing knowledge graphs.

A Model Context Protocol server that enables LLMs to interact with MindManager mind maps, allowing retrieval of mind map structures and export to formats like Mermaid, Markdown, and JSON.

Enables Claude to search, query, and interact with an Enterprise Knowledge Management System (EKMS). Supports semantic search, knowledge recommendations, relationship graphs, and feedback recording for enterprise knowledge bases.

Enables AI assistants to interact with Anytype data through the local API, allowing search, creation, modification, and export of objects, spaces, and lists.

Enables Claude Desktop to interact with KURA Notes API for semantic search, note creation, retrieval, and management. Supports natural language queries to search, create, retrieve, list, and delete notes with metadata like titles, tags, and annotations.

Enables AI assistants to interact with LightRAG knowledge graphs, supporting smart upsert for Obsidian vaults, semantic queries, and document/graph management.